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PLP 2022
The 9th Workshop on Probabilistic Logic Programming
Collocated with ICLP 2022
Haifa, Israel, 1 August 2022
http://stoics.org.uk/~plp2022/
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Call for Papers
===============
Probabilistic logic programming (PLP) approaches have received much attention
in this century. They address the need to reason about relational domains under
uncertainty arising in a variety of application domains, such as
bioinformatics, the semantic web, robotics, and many more. Developments in PLP
include new languages that combine logic programming with probability theory as
well as algorithms that operate over programs in these formalisms.
PLP is part of a wider current interest in probabilistic programming. By
promoting probabilities as explicit programming constructs, inference,
parameter estimation and learning algorithms can be run over programs that
represent highly structured probability spaces. Partly due to logic
programming's strong theoretical underpinnings, PLP is fast becoming a very
well founded area of probabilistic programming. It builds upon and benefits
from the large body of existing work in logic programming, both in semantics
and implementation, but also presents new challenges to the field. PLP
reasoning often requires the evaluation of a large number of possible states
before any answers can be produced thus breaking the sequential search model of
traditional logic programs.
While PLP has already contributed a number of formalisms, systems and well
understood and established results in: parameter estimation, tabling, marginal
probabilities and Bayesian learning, many questions remain open in this
exciting, expanding field in the intersection of AI, machine learning and
statistics. The workshop encompasses all aspects of combining logic,
algorithms, programming and probability. It aims to bring together researchers
in all aspects of probabilistic logic programming, including theoretical work,
system implementations and applications. Interactions between theoretical and
applied minded researchers are encouraged.
Topics of Interest
------------------
This workshop provides a forum for the exchange of ideas, presentation of
results and preliminary work in all areas related to probabilistic logic
programming; including, but not limited to:
* probabilistic logic programming formalisms
* probabilistic logic programming languages
* parameter estimation
* statistical inference
* implementations
* structure learning
* reasoning with uncertainty
* constraint store approaches
* stochastic and randomised algorithms
* probabilistic knowledge representation and reasoning
* neuro-symbolic representation and reasoning
* constraints in statistical inference
* PLP applications, such as bioinformatics, semantic web, robotics,...
* probabilistic graphical models
* Bayesian learning
* tabling for learning and stochastic inference
* MCMC
* stochastic search
* labelled logic programs
* integration of statistical software
along with any other PLP-related topic.
Submissions
---------------
Submissions will be managed via EasyChair:
https://easychair.org/conferences/?conf=plp22.
Contributions should be prepared in the 1-column CEURART style (also available
as an overleaf project
https://www.overleaf.com/project/5e76702c4acae70001d3bc87). A mixture of papers
are sought including: new results, work in progress as well as technical
summaries of recent substantial contributions. Papers presenting new results
should be 6-15 pages in length. Work in progress and technical summaries can be
shorter (2-5 pages). The workshop proceedings will clearly indicate the type of
each paper.
At least one author of each accepted paper will be required to attend the
workshop to present the contribution.
Important Dates
---------------
Paper submission deadline: June 10th, 2022
Notification: July 10th, 2022
Camera Ready: July 20th, 2022
Workshop: August 1st, 2022
(the deadline for all dates is intended Anywhere on Earth (UTC-12))
Program Chairs
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* Roberta Calegari <roberta.caleg...@unibo.it>
* Luke Dickens <l.dick...@ucl.ac.uk>
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