[UAI] ICIC2020 Call for Papers (1st)

[icic]

  Subject: ICIC2021 Call For Papers(SCI & EI & ISTP: 1st)		Apologies if you get multiple announcementsICIC2021 Call for PapersThe Seventeenth International Conference on Intelligent Computing will be organized on August 12-15, 2021, in Shenzhen, China.The Conference Website: http://www.ic-icc.cn/2021/index.htm or http://www.ic-icc.cn/The Online Submission System: http://www.ic-icc.cn/icg/index.aspSome selected high-quality papers will be extended for possible inclusion in 3 SCI indexed international journals:IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE/ACM TCBB)NeurocomputingBMC SupplementsThe remaining papers will be published by Springer Verlag, including Lecture Notes in Computer Sciences (LNCS)/ Lecture Notes in Artificial Intelligence (LNAI)/ Lecture Notes in Bioinformatics (LNBI), which have been all indexed by EI & ISTP.Important Dates:Paper submission April 1, 2021Per-decision notificationMay 1, 2021Decision notificationMay 10, 2021Special session proposalMarch 31, 2021Workshop proposalMay 15, 2021Tutorial proposalMay 30, 2021Camera-ready submissionMay 10, 2021RegistrationMay 15, 2021ConferenceAugust 12-15, 2021For more details, please visit the conference website http://www.ic-icc.cn/2021/index.htm or http://www.ic-icc.cn/.ICIC2021 Secretariati...@tongji.edu.cnIf you do not want to receive this email, please click here.___
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[UAI] ICIC2021 Call For Papers(SCI & EI & ISTP: 1st)

[icic]

  Subject: ICIC2021 Call For Papers(SCI & EI & ISTP: 1st)		Apologies if you get multiple announcementsICIC2021 Call for PapersThe Seventeenth International Conference on Intelligent Computing will be organized on August 12-15, 2021, in Shenzhen, China.The Conference Website: http://www.ic-icc.cn/2021/index.htm or http://www.ic-icc.cn/The Online Submission System: http://www.ic-icc.cn/icg/index.aspSome selected high-quality papers will be extended for possible inclusion in 3 SCI indexed international journals:IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE/ACM TCBB)NeurocomputingBMC SupplementsThe remaining papers will be published by Springer Verlag, including Lecture Notes in Computer Sciences (LNCS)/ Lecture Notes in Artificial Intelligence (LNAI)/ Lecture Notes in Bioinformatics (LNBI), which have been all indexed by EI & ISTP.Important Dates:Paper submission April 1, 2021Per-decision notificationMay 1, 2021Decision notificationMay 10, 2021Special session proposalMarch 31, 2021Workshop proposalMay 15, 2021Tutorial proposalMay 30, 2021Camera-ready submissionMay 10, 2021RegistrationMay 15, 2021ConferenceAugust 12-15, 2021For more details, please visit the conference website http://www.ic-icc.cn/2021/index.htm or http://www.ic-icc.cn/.ICIC2021 Secretariati...@tongji.edu.cnIf you do not want to receive this email, please click here.___
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[UAI] CFP: CVPR 2021 Workshop and Challenge on Learned Image Compression (CLIC)

[Radu Timofte]

 Apologies for cross-posting
***

CALL FOR PARTICIPANTS & PAPERS

CLIC: 4th Workshop and Challenge on Learned Image Compression 2021
in conjunction with CVPR 2021, June, Nashville, USA (VIRTUAL).

Website: http://www.compression.cc/


MOTIVATION

Our workshop aims to gather publications which will advance the field of
image and video compression using machine learning and computer vision. We
want to encourage the development of novel encoder/decoder architectures,
novel ways to control information flow between the encoder and the decoder,
new perceptual losses, and new ways to learn quantized representations.
At the workshop we will also present the winners of our annual compression
challenge. Like the workshop, the challenge is designed to encourage the
development of new learned codecs. But it is also an opportunity to
evaluate and compare end-to-end trained approaches against classical
approaches and every submission is welcome.

CHALLENGE (ongoing!)

There are three challenge tracks:

   1. * image compression *track, images need to be compressed to 0.075
   bpp, 0.15 bpp, and 0.3 bpp (bits per pixel).
   2.  *video compression* track, short video clips need to be compressed
   to around 1 Mbit/s.
   3.  *perceptual metric* track, human preferences on pairs of images will
   have to be predicted. The image pairs will come from the decoders submitted
   to the image compression track.

IMPORTANT DATES

Jan 10, 2021 Challenge dataset is released
Mar 20, 2021 Challenge validation phase ends
Mar 23, 2021 Paper submission deadline
Mar 23, 2021 Challenge test set is released
Mar 27, 2021 Competition closes
Apr 06, 2021 Paper decision notification

PAPER SUBMISSION

https://cmt3.research.microsoft.com/CLIC2021/

SPEAKERS

João Ascenso, University of Lisbon
Kede Ma, City University of Hong Kong
Rianne van den Berg, Google


ORGANIZERS

George Toderici (Google)
Wenzhe Shi (Twitter)
Radu Timofte (ETH Zurich)
Lucas Theis (Google)
Johannes Ballé (Google)
Eirikur Agustsson (Google)
Nick Johnston (Google)
Fabian Mentzer (Google)
Zeina Sinno (Apple)
Andrey Norkin (Netflix)
Krishna Rapaka (Apple)
Erfan Noury (Apple)

SPONSORS (TBU):

Google
Twitter
ETH Zurich / CVL
Apple
Netflix

Website: http://www.compression.cc/
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[UAI] ISIPTA 2021: Deadline extension

[Serafin Moral]

The Twelfth International Symposium on Imprecise Probability: Theories 
and Applications (ISIPTA 2021) Granada, 6-9 July, 2021.


What if we told you that

“There’s more to uncertainty than probabilities.”

Would you agree? Then attend the 12th edition of ISIPTA: the world’s 
main forum on imprecise probabilities. For more information, 
visithttp://www.sipta.org/isipta21


*Deadline extension: February 20th (title and abstract), February 25 th 
(full paper)*



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[UAI] Craig Boutilier @ Challenges and Opportunities in Multiagent RL

[Frans Oliehoek]

Dear all,


After a fantastic inaugural presentation by Michael Bowling, we are 
excited to announce the next speaker in our virtual seminar series on 
the Challenges and Opportunities for Multiagent Reinforcement Learning 
(COMARL):



Speaker: Craig Boutilier, Google Research

Title: Maximizing User Social Welfare in Recommender Ecosystems

(abstract and bio can be found below)


Date: Thursday February 11th, 2021

Time: 17:00 CET / 16:00 UTC / 08:00 PST

Location: via google meet or youtube


For detailed instructions on how to join, please see here:

https://sites.google.com/view/comarl-seminars/how-to-attend


For additional information, please see our:

 *

   Website (includes
   schedule, instructions on how to join, etc.)

 *

   Twitter account (for speaker announcements and
   more!):@ComarlSeminars 

 *

   Google Groups (to receive invitations):
   comarlsemin...@googlegroups.com 


We look forward to seeing you there!


Best regards from the organizers,


Chris Amato (Northeastern University),

Marta Garnelo (DeepMind),

Frans Oliehoek (TU Delft),

Shayegan Omidshafiei (DeepMind),

Karl Tuyls (DeepMind)




Speaker:

Craig Boutilier

Google Research,

Mountain View, CA, USA


Title:

Maximizing User Social Welfare in Recommender Ecosystems


Abstract:

An important goal for recommender systems is to make recommendations 
that maximize some form of user utility over (ideally, extended periods 
of) time. While reinforcement learning has started to find limited 
application in recommendation settings, for the most part, practical 
recommender systems remain "myopic" (i.e., focused on immediate user 
responses). Moreover, they are "local" in the sense that they rarely 
consider the impact that a recommendation made to one user may have on 
the ability to serve other users. These latter "ecosystem effects" play 
a critical role in optimizing long-term user utility. In this talk, I 
describe some recent work we have been doing to optimize user utility 
and social welfare using reinforcement learning and equilibrium modeling 
of the recommender ecosystem; draw connections between these models and 
notions such as fairness and incentive design; and outline some future 
challenges for the community.



Bio:

Craig Boutilier is a Principal Scientist at Google. He received his 
Ph.D. in Computer Science from U. Toronto (1992), and has held positions 
at U. British Columbia and U. Toronto (where he served as Chair of the 
Dept. of Computer Science). He co-founded Granata Decision Systems, 
served as a technical advisor for CombineNet, Inc., and has held 
consulting/visiting professor appointments at Stanford, Brown, CMU and 
Paris-Dauphine.


Boutilier's current research focuses on various aspects of decision 
making under uncertainty, including: recommender systems; user modeling; 
MDPs, reinforcement learning and bandits; preference modeling and 
elicitation; mechanism design, game theory and multi-agent decision 
processes; and related areas. Past research has also dealt with: 
knowledge representation, belief revision, default reasoning and modal 
logic; probabilistic reasoning and graphical models; multi-agent 
systems; and social choice.



Boutilier served as Program Chair for IJCAI-09 and UAI-2000, and as 
Editor-in-Chief of the Journal of AI Research (JAIR). He is a Fellow of 
the Royal Society of Canada (FRSC), the Association for Computing 
Machinery (ACM) and the Association for the Advancement of Artificial 
Intelligence (AAAI). He also received the 2018 ACM/SIGAI Autonomous 
Agents Research Award.


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[UAI] [TIME 2021] 1st CALL FOR PAPERS

[Johann Eder]

TIME 2021  1st
CALL FOR PAPERS

28th International
Symposium on Temporal Representation and Reasoning

Klagenfurt, Austria, 27-29
September 2021, time2021.aau.at







Aims and Scope


 Since 1994, the TIME International Symposium
 on Temporal Representation and Reasoning aims to bring together
 researchers in the area of temporal representation and reasoning in different
 areas of Computer Science and related disciplines. 
 TIME 2021 will be organized as a combination
 of technical paper presentations, keynote talks, and tutorials. 
 Besides sustaining the traditional three
 tracks (Time in Artifical Intelligence, Temporal
 Databases, and Temporal Logic and Reasoning) TIME 2021 in particular wants
 to stimulate cross cutting concerns.
 TIME 2021 is planning a hybrid conference. We
 aim at organizing an in-presence event, but there will be possibilities
 for virtual participation for delegates affected by travel restrictions.


Tracks


 Time in Artificial Intelligence
 Temporal Databases
 Temporal Logic and Reasoning


Special Tracks

·   
Temporal representation and
reasoning for Covid-19

o  
we are looking for
submissions dealing with temporal issues in any context having to manage
Covid-19 pandemic (healthcare, medicine, social contexts, school, and so on)


 Temporal explainability: connecting symbolic
 and sub-symbolic temporalities
 
  we are looking for submissions dealing with
  some kind of temporal logics/system/rules/visualization for
  interpreting/explaining the results of machine learning algorithms
  considering temporally relevant problems.
 


Topics

Topics for TIME 2021 include (but are not limited to):









 Spatial and temporal reasoning
 Temporal data models and query languages
 Time in natural language processing
 Temporal data mining 
 Temporal constraints: representation and
 reasoning
 Time series data management
 Spatio-temporal
 knowledge representation systems
 Data currency and expiration
 Reasoning about actions and change
 Planning and planning languages
 Ontologies of time and space-time
 Belief and uncertainty in temporal knowledge
 Temporal learning and discovery
 Temporal query processing and indexing
 Stream data management
 Spatio-temporal
 data management, including moving objects
 Indeterminate and imprecise temporal data
 Specification and verification of temporal
 properties 
 Model checking algorithms and implementations
 Temporal aspects of agent- and policy-based
 systems
 Temporal aspects of service level agreements
 Temporal aspects of business process modeling
 and management









Submission &
Publication

TIME 2021 accepts submissions in PDF format, no longer than 12 pages
excluding references and appendix. The appendix is limited to 5 pages, and the
reviewers may or may not take it into account for their recommendation.
Submissions must be formatted following the LIPIcs
instructions (https://submission.dagstuhl.de/documentation/authors), and preferably redacted in LaTex.  All submissions
have to be made electronically via easychair at  https://easychair.org/conferences/?conf=time20211 (details at time2021.aau.at). 

Paper abstracts must be
submitted one week before the final paper submission deadline.

TIME policy is single blind, so the names of the authors need not be
hidden in the submitted draft. Members of the program committee, excluding the
PC chairs, are allowed to submit papers. Submitted papers will be refereed for
quality, correctness, originality, and relevance to the conference.

Submissions to TIME 2021 must be original, parallel submissions of the
same material to other conferences or journals are not allowed. Accepted papers
will be presented at the symposium and included in the proceedings, which will
be published by LIPIcs-Leibniz International
Proceedings in Informatics (https://www.dagstuhl.de/en/publications/lipics/),  a series of high-quality
peer-reviewed conference proceedings which are published according to the
principle of OpenAccess. At least one author of each
accepted paper must register at the conference and present either virtually or
(if possible) in person. In-person participation in the symposium will not be a
prerequisite for publication.

Authors of selected papers will be invited to submit an extended version
of their contribution to a special issue of a high-quality journal yet to be
decided.

Important Dates 


 Abstracts due: April 23, 2020
 Papers due: April 30, 2020
 Notification: June
 15, 2020
 Final camera-ready version: July 4, 2020
 Conference: September 27-29, 2020


Program Committee Chairs

Carlo Combi (University of Verona, Italy) 
Johann Eder (University of Klagenfurt, Austria)
Mark Reynolds (University of Western Australia, Perth, Austr

[UAI] Two funded PhD positions on Epistemic AI (constraint programming or reinforcement learning) at TU Delft - deadline 28 February

[Matthijs Spaan]

TU Delft (Netherlands) offers two fully-funded PhD positions as part of 
the EU FET Open project Epistemic AI.

The first PhD candidate will develop novel approaches for combinatorial 
optimisation under epistemic uncertainty.  The second PhD candidate will 
develop novel reinforcement learning algorithms that aim for robust and 
safe behaviour in partially-known environments.

The project goal is to create a new paradigm for next-generation AI 
providing worst-case guarantees on its predictions thanks to a proper 
modelling of real-world uncertainties.

Further details and application form: 
https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=1980&jobTitle=PhD%20(2%20positions)%20in%20Optimisation%20and%20Reinforcement%20Learning%20with%20Epistemic%20Uncertainty

Application deadline for full consideration: 28 February 2021

Informal enquiries: Neil Yorke-Smith (n.yorke-sm...@tudelft.nl) for the 
first position, Matthijs Spaan (m.t.j.sp...@tudelft.nl) for the second 
position.

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[UAI] CFP [OptLearnMAS 2021] The 12th International Workshop on Optimization and Learning in Multi-Agent Systems

[Gauthier Picard]

[Apologies for cross-posting. Please share with anyone may be interested]

The 12th Workshop on Optimization and Learning in Multiagent Systems 
(OptLearnMAS'21)


To be held in conjunction with the International Joint Conference on 
Autonomous Agents and Multiagent Systems (AAMAS), Online, from May 3-7, 
2021.


===

This workshop invites works from different strands of the multi-agent 
systems community that pertain to the design of algorithms, models, and 
techniques to deal with multi-agent optimization and learning problems 
or problems that can be effectively solved by adopting a multi-agent 
framework. The workshop is of interest both to researchers investigating 
applications of multi-agent systems to optimization problems in large, 
complex domains, as well as to those examining optimization and learning 
problems that arise in systems comprised of many autonomous agents. In 
so doing, this workshop aims to provide a forum for researchers to 
discuss common issues that arise in solving optimization and learning 
problems in different areas, to introduce new application domains for 
multi-agent optimization techniques, and to elaborate common benchmarks 
to test solutions.


OptMAS 2021 website: https://optlearnmas21.github.io/

Workshop submission site: 
https://easychair.org/conferences/?conf=optlearnmas21



Important dates
---

* March 3, 2021 – Submission Deadline
* April 3, 2021 – Acceptance notification
* April 30,2021 – AAMAS/IJCAI Fast Track Submission Deadline
* May 1, 2021 – AAMAS/IJCAI Fast Track Acceptance Notification
* May 3 or 4, 2021 – Workshop Date



Background
--

Stimulated by emerging applications, such as those powered by the 
Internet of the Things, critical infrastructure network, and security 
games, intelligent agents commonly leverage different forms optimization 
and/or learning to solve complex problems. The goal of the workshop is 
to provide researchers with a venue to discuss techniques for tackling a 
variety of multi-agent optimization problems. We seek contributions in 
the general area of multi-agent optimization, including distributed 
optimization, coalition formation, optimization under uncertainty, 
winner determination algorithms in auctions, and algorithms to compute 
Nash and other equilibria in games. This year, the workshop will have a 
special focus on contributions at the intersection of optimization and 
learning. For example, agents which use optimization often employ 
machine learning to predict unknown parameters appearing in their 
decision problem. Or, machine learning techniques may be used to improve 
the efficiency of optimization. While submissions across the spectrum of 
multi-agent optimization are welcome, contributions at the intersection 
with learning are especially encouraged.



Keywords


Topics include but are not limited to the theory and applications of:

    * Optimization for learning agents
    * Learning for multiagent optimization problems
    * Distributed constraint satisfaction and optimization
    * Winner determination algorithms in auctions
    * Coalition formation algorithms
    * Algorithms to compute Nash and other equilibria in games
    * Optimization under uncertainty
    * Optimization with incomplete or dynamic input data
    * Algorithms for real-time applications
    * Cloud, distributed and grid computing
    * Learning and Optimization in Societally Beneficial Domains


Submission Information
--

Submission URL: https://easychair.org/conferences/?conf=optlearnmas21

Submission Types:

    * Technical Papers: Full-length research papers of up to 7 pages 
(excluding references and appendices) detailing high quality work in 
progress or work that could potentially be published at a major conference.


    * Short Papers: Position or short papers of up to 4 pages 
(excluding references and appendices) that describe initial work or the 
release of privacy-preserving benchmarks and datasets on the topics of 
interest.


Fast Track (Rejected AAMAS or IJCAI papers):

Rejected AAMAS or IJCAI papers with *average* scores of at least 5.0 may 
be submitted directly to OptLearnMAS along with previous reviews. These 
submissions will not undergo the regular review process, but a light 
one, performed by the chairs, and will be accepted if the previous 
reviews are judged to meet the workshop standard.


All papers must be submitted in PDF format, using the AAMAS-21 author 
kit. Submissions should include the name(s), affiliations, and email 
addresses of all authors.
Submissions will be refereed on the basis of technical quality, novelty, 
significance, and clarity. Each submission will be thoroughly reviewed 
by at least two program committee members.
Submissions of papers rejected from the AAMAS 2021 and IJCAI 2021 
technical program are welcomed.


For questions about the submission process, contact the workshop chair

[UAI] KR 2021: Call for Workshop and Tutorial Proposals

[Thanh Dinh]

Call For Tutorial And Workshop Proposals
18th Conference on Principles of Knowledge Representation and Reasoning 
(KR2021)



November 6-12, 2021, Hanoi, Vietnam


https://kr2021.kbsg.rwth-aachen.de


The 18th International Conference on Principles of Knowledge 
Representation and
Reasoning (KR 2021) solicits proposals for its tutorial and workshop 
programme.
Tutorials and workshops will be held on the days of 6-8 November 2021, 
prior
to the KR main technical program. The attendance of tutorials is 
complimentary

to all KR registered participants. Workshop attendance will be subject to
payment of a workshop fee, which is separate from that of the main 
conference.



** Submission Requirements for Tutorial Proposals **

KR tutorials are half-day or (exceptionally) full-day events that introduce
general or special topics in KR and relevant neighboring areas. They can be
first introductions to an established area or an emerging field, but also
advanced courses on specialised methods or new approaches. The content 
should be

adequately established and balanced, and not be limited to advertising an
individual research work or product. A focus on specific tools and 
methodologies

can still be useful to offer concrete examples and hands-on activities to
participants.

Each tutorial proposal should contain the following information:

- Short title, presenters and proposed length (half-day is recommended, 
but an

argument can be made for a full-day tutorial)

- A half-page introduction to the tutorial's subject and relevance to KR

- A half-page on the target audience, prerequisite knowledge, and 
learning goals


- One page outline of the tutorial contents and intended structure

- A brief resume of each presenter including name, affiliation, email 
address,
  and evidence of scholarship in the area, mentioning relevant 
publications or

  professional experience

The main duties of the tutorial organizers are:

- Setup a web-page for the tutorial, which should at least include the
  information from the proposal, tutorial materials and related references.

- Deliver the tutorial at KR 2021. Virtual presentation will be allowed.

Each accepted tutorial will entitle a discount on the KR registration 
fee for

one tutorial presenter.


** Submission Requirements for Workshop Proposals **

Workshops provide a place to exchange ideas in emerging fields in KR 
research

and application. They can take many forms, including mini-conferences (with
peer-reviewed publications), competitions, working sessions (discussions,
hackathons, etc.), line-ups of invited contributions, or a mix of these.
Innovative formats are welcome, but organizers must provide means of 
estimating

attendance and required length up-front (by number of submissions, invited
speakers, or early registered participants).

Workshop proposals can use up to 4 pages, which should include the 
following

information:

- Title and acronym of the workshop,

- Workshop description: goals, format, and expected activities during the
  workshop; proposed duration (half day, one day, ...),

- Audience: target audience, research groups in the area, planned or 
confirmed

  speakers, expected number of submissions/participants,

- Related events: history of the workshop (if applicable), relationship to
  recent similar events,

- Tentative list of PC members with their respective affiliations,

- A brief resume of each organizer including name, affiliation, contact
  details, and evidence of scholarship in the area, mentioning relevant
  publications or professional experience.

- Appendix: Tentative call for contributions

The main duties of the chair of each accepted workshop are:

- Set up a webpage for the workshop,

- Advertise the workshop and distribute its call for papers/participation,

- Coordinate the peer-reviewing of submitted contributions,

- If workshop proceedings are desired, it is the duty of the organizers to
  produce and distribute their workshop proceedings,

- Organize a schedule for the workshop in collaboration with the local
  organizers and the KR workshop co-chairs, and

- Coordinate and moderate the workshop participation and content.

We do not require workshop organizers to commit to physically attending
the conference and will work with them to find a suitable (hybrid or fully
virtual) format for each workshop.

Each accepted proposal will be waived two workshop registrations to be
used at the discretion of the organisers (e.g., to cover the registration
of an invited speaker).

KR reserves the right to cancel a workshop if it does not have enough
participants to cover its running costs.


** Submission Instructions **

Each proposal (tutorial or workshop) should be in English and must be 
submitted

electronically to the Workshop and Tutorial track of KR 2021 via EasyChair:

https://easychair.org/conferences/?conf=kr2021

For all accepted proposals, KR will take care of all local and/or
virtual arrangements.


** Important Da

[UAI] CFP: The 3rd Games, Agents and Incentives Workshop (GAIW) @ AAMAS 2021

[Hadi Hosseini]

Call for Papers: The 3rd Games, Agents and Incentives Workshop (GAIW)@AAMAS
2021

 TL;DR:

Webpage: https://preflib.github.io/gaiw2021/

   -

   Submission Deadline: February 26, 2021 (AoE).
   -

   Acceptance Notification: April 2, 2021.
   -

   Camera Ready: April 16, 2021 (AoE).
   -

   Workshop: May 3rd or 4th, 2021 (TBA).

Call for Paper:

We invite submissions to the third iteration of the Games, Agents and
Incentives Workshop, co-located with AAMAS 2021.

Games, Agents and Incentives is a confederated workshop which focuses on
agents and incentives in AI.  In particular, it promotes approaches that
deal with game theory (cooperative and non-cooperative), social choice, and
agent-mediated e-commerce aspects of AI systems. The confederated workshop
merges multiple workshops that have been associated with AAMAS in the past,
which considered different aspects of the general interplay between AI and
economics:

• CoopMAS: Cooperative Games in Multi-agent Systems

• AMEC:  Agent-Mediated Electronic Commerce

• EXPLORE: Exploring Beyond the Worst Case in Computational Social Choice

Over the past two decades, the focus of agent incentives in decentralised
and centralised AI systems has increased dramatically. These issues come up
when designing preference aggregation mechanisms and markets; computing
equilibria and bidding strategies; facilitating cooperation among agents;
and fairly dividing resources.



**

PAPER SUBMISSION

**

Authors should submit full papers electronically in PDF format at
https://easychair.org/conferences/?conf=gaiw2021



Formatting Guidelines: Please format papers according to the AAMAS 2021
format (author kit)
.
Optionally, one may submit in LNCS format as well (LaTeX template).

Paper Length: Papers can be at most 8 pages long in AAMAS format, or 12
pages long in LNCS format. Additional pages for may be used for references.

Supplemental material can be appended at the end of the paper. However,
reviewers are instructed to make their evaluations based on the main
submission, and are not obligated to consult the supplemental material.

Multiple Submissions: To widen participation and encourage discussion,
there will be no formal publication of workshop proceedings. We will,
however, post the accepted papers online to the benefit of the participants
to the workshop. Therefore, submission of preliminary work and papers to be
submitted or in preparation for submission to other major venues in the
field are encouraged.

Past Submissions: In order to strike a balance between new work and work
that may have been presented but not widely seen we ask that if authors
want to submit published work they do so non-anonymously and clearly
indicate when and where the work was published. We will only accept work
which has been published in the last calendar year (e.g., IJCAI 2020,
NeurIPS 2020, AAAI 2021, and any conference held after Feb. 2020).

We invite papers on topics of game theory, mechanism design, fair
allocation, computational social choice, and their applications to
multi-agent systems:

   -

   Algorithmic mechanism design
   -

   Auctions
   -

   Behavioral Game Theory
   -

   Bounded rationality
   -

   Cooperative Games
   -

   Computational advertising
   -

   Computational aspects of equilibria
   -

   Computational social choice
   -

   Coalitions, coordination, collective action, and cooperation
   -

   Economic aspects of security and privacy
   -

   Economic aspects of distributed and network computing
   -

   Equilibrium computation
   -

   Empirical approaches to e-market
   -

   Fairness (in ML & elsewhere)
   -

   Fair Division
   -

   Incentives in machine learning
   -

   Information and attention economics
   -

   Learning in games (e.g., solution concepts and equilibria)
   -

   Matching and Matching Markets
   -

   Negotiation
   -

   Price differentiation and price dynamics
   -

   Social networks
   -

   Trading agent design and analysis
   -

   Uncertainty in AI and economics

**

IMPORTANT DATES

**

   -

   Submission Deadline: February 26, 2021 (AoE).
   -

   Acceptance Notification: April 2, 2021.
   -

   Camera Ready: April 16, 2021 (AoE).
   -

   Workshop: May 3rd or 4th, 2021 (TBA).

**

ORGANIZATION

**

Program Chairs

Haris Aziz, UNSW Sydney and Data61

Sofia Ceppi, Prowler.io

John P. Dickerson, University of Maryland

Hadi Hosseini, Penn State University

Omer Lev, Ben-Gurion University

Nicholas Mattei, Tulane University

Duncan McElfresh, University of Maryland

Yair Zick, Universi

[UAI] Call for Paper: Special Issue "Intelligent and, Adaptive Security in Internet of Things" (Sensors, ISSN 1424-8220, IF 3.275)

[Angelina Wang]

**
Call for papers: Sensors (IF 3.275) Special Issue "Intelligent and
Adaptive Security in Internet of Things"
Deadline for manuscript submissions: 10 February 2021
https://www.mdpi.com/journal/sensors/special_issues/Intelligent_Security_IoT
*
Dear Colleagues,

Hope you are doing well.

We are pleased to invite you to contribute a paper, comprehensive review
or original paper, to our Special Issue "Intelligent and Adaptive
Security in Internet of Things" in /Sensors/:

Special Issue Website:
https://www.mdpi.com/journal/sensors/special_issues/Intelligent_Security_IoT
*Guest Editor*: Dr. Hyoungshick Kim and Dr. Jin B. Hong
Deadline for manuscript submissions: 10 February 2021

*The particular topics of interest include, but are not limited to:*

AI and ML techniques for securing IoT;
Cyber threats and incident analysis in IoT;
Data-driven security for IoT;
Intrusion and anomaly detection in IoT;
Risk identification and assessment in IoT;
Adversarial machine learning in IoT;
Collaborative learning for IoT;
Malware and botnets in IoT.

If you are interested in contributing, please contact
angelina.w...@mdpi.com. /Sensors/ manages a rigorous and efficient
peer review process for all submissions, i.e., a first decision provided
to authors approximately 17.9 days after submission. There are around
40,000 verified reviews in Sensors on Publons.

/Sensors/ (ISSN 1424-8220; https://www.mdpi.com/journal/sensors) is a
leading international peer-reviewed open access journal on the science
and technology of sensors. Sensors’ Impact Factor 2019 is 3.275, and
5-year IF of 3.427. It ranks 15/64 (Q1) in "Instruments &
Instrumentation"; 22/86 (Q2) in "Chemistry, Analytical"; 77/266 (Q2) in
"Engineering, Electrical & Electronic" from JCR.

We look forward to hearing from you.

--
Best regards,
Ms. Angelina Wang
Section Managing Editor
E-Mail: angelina.w...@mdpi.com
Sensors (http://www.mdpi.com/journal/sensors)

Sensors Impact Factor 2019: 3.275

Sensors 2020 Best Cover Award Open for Vote
Vote deadline: 15 February 2021
Voting link: https://www.surveymonkey.com/r/7NHLMFV

Special Issue Proposal - Open for Application
https://www.mdpi.com/journalproposal/sendproposalspecialissue/sensors

Sensors 2021 Travel Awards in Physical Sensors, Intelligent Sensors,
Chemical Sensors, Remote Sensors, Biosensors, Sensor Networks and for Women
Amount: 500 CHF for each
Application deadline extended: 28 February 2021
https://www.mdpi.com/journal/sensors/awards

Sensors 2021 Ph.D. Thesis Award
Amount: 1000 CHF
Application deadline: 31 August 2021
https://www.mdpi.com/journal/sensors/awards


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[UAI] Live e-lecture by Prof. Efstratios Gavves: ‘The Machine Learning of Time: Past and Future’, 9th February 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures

[Ioanna Koroni]

Dear AI scientist/engineer/student/enthusiast,



Prof. Efstratios Gavves (University of Amsterdam, Netherlands), a prominent 
young AI researcher internationally, will deliver the e-lecture:

‘The Machine Learning of Time: Past and Future’, on Tuesday 9th February 2021 
17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST),

see details in:   
http://www.i-aida.org/ai-lectures/

You can join for free using the zoom link: https://authgr.zoom.us/j/93863728654



The   International AI Doctoral Academy (AIDA), a joint 
initiative of the European R&D projects   AI4Media and  
 Vision and Humane AI Net currently in the process 
of formation,

is very pleased to offer you top quality scientific lectures on several current 
hot AI topics, starting with the above mentioned e-lecture.



Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures)



Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET 
(8:00-9:00 am PST), (12:00 am-1:00am CST).  Attendance is free.



Other upcoming lectures:

1.  Prof. Pietro Perona, ‘Measuring algorithmic bias in face analysis — 
towards an experimental approach’, 23rd February 2021 17:00 – 18:00 CET.
2.  Prof. Björn Schuller: ‘There will be Artificial Emotional 
Intelligence’, 9th March 2021 17:00 – 18:00 CET
3.  Prof. Andreas Geiger, ‘Towards Robust End-to-End Driving’, 23rd March 
2021 17:00 – 18:00 CET

More lecture infos in:   
http://www.i-aida.org/future-lectures/



These lectures are disseminated through multiple channels and email lists (we 
apologize if you received it through various channels).

If you want to stay informed on future lectures, you can register in the  
 CVML email list.



Best regards

Profs. I. Pitas, N. Sebe, B. O’Sullivan, M. Chetouani

AIDA AI Excellence lecture series committee



--
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[UAI] Junior Researcher position in Artificial intelligence, statistics and signaling network in Tours (France)

[Romain Yvinec]

Dear all,

we are happy to announce that a full permanent Junior researcher 
position in *artificial intelligence, statistics and signaling network * 
is open for
2021 external competitions in our team BIOS (Biologie des Systèmes de 
Signalisation)  team within the 
PRC (Physiologie de la Reproduction et des Comportements) 
 
unit in Tours (France).


See the detailed research profil on INRAE ​​Jobs site: 
https://jobs.inrae.fr/en/open-competitions/open-competions-research-scientists-job-profiles-crcn/cr-2021-phase-2


Application deadline: March 04, 2021.

I would be very pleased if you could send this information to anyone 
potentially interested. Any candidate is kindly encouraged to contact 
Romain Yvinec (romain.yvi...@inrae.fr ) now.


Sincerely,

Romain Yvinec

ps: Sorry in case of multiple annoucements!

--
Romain Yvinec, Chargé de Recherche (CRCN) de l'Institut national de recherche 
pour l'agriculture, l'alimentation et l'environnement,
email: romain.yvinec[at]inrae.fr

Physiologie de la Reproduction et des Comportements, F-37380 Nouzilly, France
INRAAE UMR85, CNRS UMR7247, Université de Tours, IFCE

BIOS team: http://bios.tours.inra.fr/bios_group/
personal webpage: http://yvinec.perso.math.cnrs.fr/
tel: +33 (0) 2 47 42 76 55
 +33 (0) 7 68 86 42 79

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[UAI] Postdoc Positions in Privacy/Machine Learning at KAUST

[Di Wang]

Di Wang is currently an Assistant Professor in the Division of Computer, 
Electrical and Mathematical Sciences and Engineering (CEMSE) at the King 
Abdullah University of Science and Technology (KAUST). He is always looking for 
postdoc positions, with a flexible start date. The initial appointment will be 
1 year, with the possibility renewal for one for two additional years depending 
on the performance. The position will remain open until filled.

Di Wang obtained his PhD degree in Computer Science and Engineering at the 
State University of New York (SUNY) at Buffalo. During his PhD studies, he has 
been invited as a visiting student to the University of California, Berkeley, 
Harvard University, and Boston University. During the last 3 years, he was the 
first author for more than twenty four papers, including several JMLR, ML, 
ICML, NeurIPS, AAAI, IJCAI, ALT. He has collaborated with people from several 
top universities such as UVA, University of Toronto, Cornell, University of 
Boston, SUNY at Buffalo, MIT.

His interested areas include Machine Learning, Statistical Estimation, 
Fairness, Privacy and Security, see his personal 
website for details. If you are 
interested in working or have common interests with him, feel free to send him 
(di.w...@kaust.edu.sa) your CV. Successful 
candidates will be further contacted to provide more documents (e.g., two 
recommendation letters or a short statement of research plans).

Candidates need to hold an earned Ph.D. (or be near completion) in computer 
science or in a related field with mathematics or statistics or good 
programming skills in C/C++/Java/Matlab/Python. Successful candidates are 
expected to be self-motivated and have a good publication record (at least have 
one paper accepted by premier conferences or journals like COLT, NeurIPS, ICML, 
AISTATS, ALT, ICLR, CCS, S&P, KDD, AAAI, TIT, TPAMI, JMLR, MLJ, TKDE, TIFS 
etc.) and good command of English. The position holders will perform 
interdisciplinary research, shape research directions, produce and disseminate 
results through publications, coordinate research projects and help to 
supervise PhD. and M.S. students.

KAUST offers:

  1.  Very competitive tax exemption salary and benefit package (e.g., free 
high-standards fully furnished houses, health insurance, education at KAUST 
international schools for children, 20 days of paid vacation per year, 
relocation allowance, repatriation allowance).

  2.  Sufficient funding support (e.g., conference attendance and international 
trip support).

  3.  State-of-the-art research facilities, including one of the fastest 
supercomputers in the world (IBM BlueGene, 64000 cores, 64TB RAM), and a 
word-class visualization

  4.  Solid collaboration (including exchange visits) with our partners.

  5.  Vibrant campus life and impressive recreational facilities that include a 
private beach, marina and golf course.

Best,
Di
---
Di Wang, PhD
Assistant Professor
Division of CEMSE
King Abdullah University of Science and Technology
URL: http://www.acsu.buffalo.edu/~dwang45/
Email: di.w...@kaust.edu.sa
—

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[UAI] Special Track on Uncertain Reasoning at Flairs 34 - Last Call for Papers (deadline February 16)

[Antonucci Alessandro]

*** Apologies for multiple postings ***

[UR @ FLAIRS 34] LAST CALL FOR PAPERS

Special Track on Uncertain Reasoning at the 34th Florida Artificial 
Intelligence Research Society Conference (FLAIRS-34) 

May 16-19, 2021 - North Miami Beach, Florida (US)

FLAIRS 34 will have a safe physical conference to the extent possible, and 
provide an option for online presentation for those who cannot attend the 
physical conference.

Paper submission deadline: February 16, 2021

Conference website: http://www.flairs-34.info

Special track website: http://idsia.ch/~alessandro/flairs


::: Call for Papers :::


Many problems in AI (in reasoning, planning, learning, perception and robotics) 
require the agent to operate with incomplete or uncertain information. The 
objective of this track is to present and discuss a broad and diverse range of 
current work on uncertain reasoning, including theoretical and applied research 
based on different paradigms. We hope that the variety and richness of this 
track will help to promote cross fertilisation among the different approaches 
for uncertain reasoning, and in this way foster the development of new ideas 
and paradigms.


The Special Track on Uncertain Reasoning (UR) is the oldest track in FLAIRS 
conferences, running annually since 1996. The UR '21 Special Track at the 34th 
International Florida Artificial Intelligence Research Society Conference 
(FLAIRS-34) is the 26th in the series. Like the past tracks, UR'21 seeks to 
bring together researchers working on broad issues related to reasoning under 
uncertainty.

Papers on all aspects of uncertain reasoning are invited. Papers of particular 
interest include, but are not limited to:

- Uncertain reasoning formalisms, calculi and methodologies

- Reasoning with probability, possibility, fuzzy logic, belief function, 
vagueness, granularity, rough sets, and probability logics

- Modelling and reasoning using imprecise and indeterminate information, such 
as: Choquet capacities, comparative orderings, convex sets of measures, and 
interval-valued probabilities

- Exact, approximate and qualitative uncertain reasoning

- Inference and learning with graphical models of uncertainty (e.g., Bayesian 
networks)

- Multi-agent uncertain reasoning and decision making

- Decision-theoretic planning and Markov decision process

- Temporal reasoning and uncertainty; non-monotonic reasoning; similarity-based 
reasoning

- Conditional logics, description logic, logic programming

- Argumentation

- Belief change and merging

- Construction of models from elicitation, data mining and knowledge discovery

- Uncertain reasoning in information retrieval, filtering, fusion, diagnosis, 
prediction, situation assessment

- Uncertain reasoning in data management

- Practical applications of uncertain reasoning (e.g., machine learning, 
computer vision and animation)


All accepted papers will be published as FLAIRS proceedings by AAAI Press. A 
special issue of an international journal will be devoted to extended versions 
of the top papers at the track.


::: Program Committee :::


: Track Chairs :

- Alessandro Antonucci (IDSIA, Switzerland)
- Salem Benferhat (University of Artois, France)
- Kamal Premaratne (University of Miami, US)


: PC Members :

Mohand Said Allili (Université du Québec en Outaouais)
Ofer Arieli (The Academic College of Tel-Aviv, Israel)
Ameur Bensefia (Higher Colleges of Technology, United Arab Emirates)
Nizar Bouguila (Concordia University, Canada)
Cory Butz (University of Regina, Canada)
Sebastien Destercke (University of Technology of Compiègne, France)
Lluis Godo (Spanish National Research Council, Spain)
Love Ekenberg (Stockholm University, Sweden)
Christophe Gonzales (LIS, France)
Ilyes Jenhani (Prince Mohammad Bin Fahd University, Saudi Arabia)
Gabriele Kern-Isberner (University of Technology Dortmund, Germany)
Vladik Kreinovich (University of Texas at El Paso, US)
Philippe Leray (University of Nantes, France)
Nicholas Mattei (Tulane University, US)
Jhonatan S. Oliveira (University of Regina, Canada)
Rafael Peñaloza (University of Milano-Bicocca, Italy)
Lalintha Polpitya (Mathworks, US)
Dilip Sarkar (University of Miami, US)
Steven Schockaert (Cardiff University, UK)
Karima Sedki (University of Paris 13, France)
Kari Sentz (Los Alamos National Laboratory, US)
Karim Tabia (Artois University, France)
Choh Man Teng (Institute for Human and Machine Cognition, US)
Thanuka Wickramarathne (University of Massachusetts, Lowell, US)
Yang Xiang (University of Guelph, Canada)


::: Other Information :::

FLAIRS 34 will be held in North Miami Beach, Florida. Additional information on 
the conference location and travel planning can be found here. Feel free to 
write the organizers (alessan...@idsia.ch, ka...@miami.edu, benfer...@cril.fr) 
for any further information about the special track.

::: Submission :::

Interested authors should format their papers according to AAAI formatting 
guidelines. The papers should be ori

[UAI] 2020 Victor Lesser Distinguished Dissertation Award

[AAMAS2021 Publicity Chair]

Nominations are invited for the 2020 Victor Lesser Distinguished
Dissertation Award sponsored by IFAAMAS, the International
Foundation for Autonomous Agents and Multiagent Systems
(http://www.ifaamas.org) and to be presented at AAMAS-2021
(https://aamas2021.soton.ac.uk/).

Eligible doctoral dissertations are those defended between January
1, 2020 and December 31, 2020 in the area of Autonomous Agents or
Multiagent Systems.

This award includes a certificate and a 1500EUR payment.

The selection of the dissertation will be based on the originality,
significance, and impact of the work. Evidence of such impact
include publications at highly selective conferences and journals in
the field, with due importance given to the AAMAS conference series
and JAAMAS. Research output that resulted primarily from the
student's initiative will be considered more favorably. The
selection committee will be the final arbiter in the decision
process. The selection committee might decide to consult external
assessors and reserves the right to not award the prize if the
nominations do not meet the expected quality level.

The dissertation must be nominated by the thesis supervisor and must
be supported by the following documents, all should be delivered via
the link below before or on February 28, 2021:

- A PDF file of the dissertation. If the dissertation is not written
in English, the nomination must include a substantial manuscript in
English, with the nominee as the first author, published in a
journal or a prestigious conference.

- A list of citations to published papers based primarily on this
dissertation, with links to the pdfs of the published papers.

- A two page document (single column) in PDF format, explaining the
contribution of the dissertation to the field with regards to the
state of the art, as well as possible future impact of the work.

- A recommendation from the dissertation supervisor, on departmental
letterhead, nominating the dissertation for the IFAAMAS-20 Victor
Lesser Distinguished Dissertation Award. The recommendation should
argue the merit of the dissertation and highlight, where relevant,
how the work resulted from the initiative of the student. This
document, not to exceed 500 words, should also certify the
eligibility of the PhD by asserting that the PhD was defended in
calendar year 2020.

- The names, email addresses, and affiliations of at most three
referees, familiar with the research of the candidate and experts in
the pertinent research area, who will directly email their
recommendations for the candidate to the chair of the selection
committee (Matt Taylor, matthew.e.tay...@ualberta.ca). A reference
letter should be no more than 500 words in length and should be on
official letterhead, signed and emailed as a scanned PDF file.
NOTE: IT IS THE RESPONSIBILITY OF THE DISSERTATION
SUPERVISOR TO CONTACT THE REFEREES AND ENSURE THAT
LETTERS (max 500 words, signed, and on letterhead) ARE SUBMITTED
BY THE DEADLINE.

Though the nomination is to be submitted by the nominee's
dissertation supervisor, it is required that the nominee has
consented that the dissertation be considered for this award and, if
selected for the award, commits to attend the AAMAS-2021 conference,
where he/she will receive the award, and will give a presentation in
a special session of the conference on the work contained in the
dissertation. The cost of attending the conference is not covered by
the award.

Submission link: https://forms.gle/D47J3fQXw8AoJ8Y47

Submission deadline: February 28, 2021

For questions, please contact the chair of the selection committee,
Matt Taylor: matthew.e.tay...@ualberta.ca
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[UAI] CFP ProfNER shared task: Identification of professions & occupations in Health-related Social Media (SMM4H at NAACL)

[Martin Krallinger]

 CFP SMM4H-SPANISH:ProfNER Shared Task (SMM4H - NAACL 2021) 



*ProfNER: Identification of professions & occupations in Health-related
Social Media (SMM4H at NAACL)*

https://temu.bsc.es/smm4h-spanish/



We are organizing the first shared task specifically focusing on named
entity recognition of professions & occupations in Social Media in Spanish.
Specifically, we focus on Twitter data related to Covid-19 and lock-downs.

ProfNER is part of The Social Media Mining for Health Applications (#SMM4H)
Shared Task 2021.


*The ProfNER sub-tracks:*

*Tweet binary classification: *Participants must determine whether a tweet
contains a mention of occupation, or not.

*NER offset detection and classification**: *Participants must find the
beginning and end of occupation mentions and classify them in the
corresponding category


*Key information:*

*ProfNER web: *https://temu.bsc.es/smm4h-spanish/

*Datasets: *https://doi.org/10.5281/zenodo.4309356

*Registration: *https://forms.gle/1qs3rdNLDxAph88n6



*Task motivation*

Some workers are at the forefront of the battle against the COVID-19
pandemic. Detecting vulnerable occupations is critical to prepare
preventive measures related to exposure to the virus as well as indirect
mental health issues due to fear of infection, confinement, etc.

NLP systems benefit from recent NLP technologies such as transformers,
novel language technologies and transfer learning and from the vast
production of real-time data in social media.

Following the previous organization of shared task with high impact with a
considerable number of participants [Cantemist], [CodiEsp], [Meddocan] we
are organizing the ProfNER track. It promotes the development of profession
& occupation-related text mining resources in Spanish social media due to
the special relevance of professions in the definition of at-risk groups.

Systems capable of automatically processing social media texts are of
interest to the medical user community, researchers, the pharmaceutical
industry as well as patients. The detection of profession & occupation
information is relevant for general NLP, occupational data mining, etc.

Competing systems have the potential to generalize to alike use cases in
other content types such as medical reports and in other languages.



*Important dates*

Dec, 15: Training & Development set release
Feb, 15: Validation set submission due [Required]
Mar, 1: Test set & background set release
Mar, 4: Test set predictions due
Mar, 15: System descriptions due
Apr, 1: Acceptance notification
Apr, 12: Camera-ready system descriptions
June 6–11: NAACL 2021 conference



*Publications and workshop*

Each participating team will have the opportunity to submit a system
description which will be published as part of the *shared task proceedings*
.
The 6th SMM4H Workshop, *co-located at NAACL 2021* More details are
available at https://healthlanguageprocessing.org/smm4h-2021/



*Track Organizers*

   - *Martin Krallinger*, Barcelona Supercomputing Center, Spain
   - *Antonio Miranda-Escalada*, Barcelona Supercomputing Center, Spain
   - *Eulàlia Farré*, Barcelona Supercomputing Center, Spain
   - *Salvador Lima*, Barcelona Supercomputing Center, Spain

*SMM4H Organizers*

   - *Graciela Gonzalez-Hernandez*, University of Pennsylvania, USA
   - *Davy Weissenbacher*, University of Pennsylvania, USA
   - *Ari Z. Klein*, University of Pennsylvania, USA
   - *Karen O’Connor*, University of Pennsylvania, USA
   - *Abeed Sarker*, Emory University, USA
   - *Elena Tutubalina*, Kazan Federal University, Russia
   - *Zulfat Miftahutdinov*, Kazan Federal University, Russia
   - *Ilsear Alimova*, Kazan Federal University, Russia
   - *Martin Krallinger*, Barcelona Supercomputing Center, Spain
   - *Juan Banda*, Georgia State University, USA
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[UAI] CFP: 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021)

[Thanh Dinh]

CALL FOR PAPERS

18th Conference on Principles of Knowledge Representation and Reasoning 
(KR2021)


November 6-12, 2021, Hanoi, Vietnam -> see note below about remote 
participation


https://kr2021.kbsg.rwth-aachen.de

Knowledge Representation and Reasoning (KR) is a well-established and lively
field of research. In KR a fundamental assumption is that an agent's 
knowledge

is explicitly represented in a declarative form, suitable for processing by
dedicated reasoning engines. This assumption, that much of what an agent 
deals

with is knowledge-based, is common in many modern intelligent systems.
Consequently, KR has contributed to the theory and practice of various 
areas in

AI, including automated planning and natural language understanding, and to
fields beyond AI, including databases, verification, software 
engineering, and
robotics. In recent years, KR has contributed also to new and emerging 
fields,

including the semantic web, computational biology, cyber security, and the
development of software agents.

The KR conference series is the leading forum for timely in-depth 
presentation

of progress in the theory and principles underlying the representation and
computational management of knowledge.


** SCOPE **

We solicit papers presenting novel results on the principles of KR that 
clearly

contribute to the formal foundations of relevant problems or show the
applicability of results to implemented or implementable systems. We also
welcome papers from other areas that show clear use of, or contributions to,
the principles or practice of KR.

Topics of interest include, but are not limited to:

- Applications of KR

- Argumentation

- Belief revision and update, belief merging, information fusion

- Commonsense reasoning

- Computational aspects of knowledge representation

- Concept formation, similarity-based reasoning

- Contextual reasoning

- Decision making

- Description logics

- Explanation finding, diagnosis, causal reasoning, abduction

- Geometric, spatial, and temporal reasoning

- Inconsistency- and exception-tolerant reasoning, paraconsistent logics

- KR and autonomous agents and multi-agent systems

- KR and cognitive robotics

- KR and cyber security

- KR and education

- KR and game theory

- KR and machine learning, inductive logic programming, knowledge 
acquisition


- KR and natural language processing and understanding

- KR and the Web, Semantic Web

- Knowledge graphs and open linked data

- Knowledge representation languages

- Logic programming, answer set programming

- Modeling and reasoning about preferences

- Multi- and order-sorted representations and reasoning

- Nonmonotonic logics, default logics, conditional logics

- Ontology formalisms and models

- Ontology-based data access, integration, and exchange

- Philosophical foundations of KR

- Qualitative reasoning, reasoning about physical systems

- Reasoning about actions and change, action languages

- Reasoning about constraints, constraint programming

- Reasoning about knowledge, beliefs, and other mental attitudes

- Uncertainty, vagueness, many-valued and fuzzy logics

The KR2021 program will also feature workshops and tutorials, solicited 
by means

of an open call, as well as a doctoral consortium.


** TRACKS AND SPECIAL SESSIONS **

In addition to the main conference track, KR2021 will host the following 
tracks

and sessions:

* Applications and Systems Track

* Recently Published Research Track

* Special Session on KR and Machine Learning

* Special Session on KR and Robotics



** IMPORTANT DATES **

Submission of title and abstract: March 24, 2021

Paper submission deadline:  March 31, 2021

Author response period: May 24-26, 2021

Notification: June 15, 2021

Camera-ready papers: July 14, 2021

Conference dates: November 6-12, 2021


The Recently Published Research track, workshops, tutorials, and the 
doctoral
consortium have different submission and notification dates, which are 
listed

on the conference website.


**AUTHOR GUIDELINES AND SUBMISSION INFORMATION**


All submissions must be written in English and formatted using the style 
files
provided on the KR'21 website. Papers must be submitted in PDF format, 
through

the EasyChair conference system:

https://easychair.org/conferences/?conf=kr2021


For the main conference track and additional tracks/sessions (except for
the Recently Published Research track), we invite

- Full papers of up to 9 pages, including abstract, figures, and appendices
  (if any), but excluding references and acknowledgements.

- Short papers of up to 4 pages, excluding references and acknowledgements.

Both full and short papers must describe original, previously unpublished
research, and must not simultaneously be submitted for publication 
elsewhere.

These restrictions do not apply to previously accepted workshop papers with
a limited audience and/or without archival proceedings, and to pap