W11 --- Interactive Decision Theory and Game Theory
Decision and game theories are powerful tools with which to design
autonomous agents, and to understand interactions in systems composed of
many such agents. Decision theory provides a general paradigm for
designing agents that can operate in uncertain environments.
Decision-theoretic models use mathematical formalism to define the
properties of the agent's environment, the agent's sensory capabilities,
the ways the agent's actions change the state of the environment, and
the agent's goals and preferences. Game theory adds to the
decision-theoretic framework the idea of multiple agents interacting
within a common environment. It provides ways to specify how agents can
change the environment and how the resulting changes impact their
individual preferences. Building on the assumption that agents are
rational and self-interested, game theory uses the notion of Nash
equilibrium to design mechanisms for various forms of interaction and
communication that result in the overall system behaving in a stable,
efficient, and fair manner.
Recent research has sought to merge advances in decision and game
theories to build agents that may operate in uncertain environments
shared with other agents. This research has investigated the adequacy of
Nash equilibrium as a solution concept, focused on epistemological
advances in game theory and expressive ways to model agents, and looked
into new solution concepts all with the aim of designing autonomous
agents that may robustly interact with other, sophisticated agents in
both cooperative and noncooperative settings.
Topics
Topics include the following:
* Theoretical developments in decision theory or game theory applied
to interactive settings
* Theoretical developments in interactive epistemology
* Representation and revision of interactive beliefs
* Integrating decision theory and game theory
* Modeling strategic agent behavior, behavioral game theory and
evolutionary game theory
* Learning in multiagent settings
* Rational communication among agents
* Human-computer interaction
* Modeling agents and humans during interactions
* Descriptions of multiagent systems employing decision theory or
game theory
* Empirical evaluations of multiagent systems employing decision
theory or game theory
* Nonstandard variants of decision theory
* Position statements
* Descriptions of deployed systems
Submissions
Submit papers in PostScript or in PDF format to [email protected], by
Friday, April 22, 2011.
Organizing Committee
Piotr Gmytrasiewicz (University of Illinois at Chicago); Prashant Doshi
(University of Georgia); Simon Parsons (City University of New York);
Karl Tuyls (Maastricht University)
*Website*
http://dali.ai.uic.edu/idtgt-11/
--
Piotr Gmytrasiewicz
Associate Professor
Department of Computer Science email: [email protected]
University of Illinois at Chicago phone: (312) 355-1320
851 S. Morgan Street fax: (312) 413-0024
Chicago, IL 60607-7053 http://www.cs.uic.edu/~piotr
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