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Research Bernoulli Institute Research

Strategies in multi-agent systems

Key words: multi-agent systems, cognitive modeling, robotics, human-machine communication, social choice theory, social software
Themes: e-science, e-humanities

Short description:

Modeling intelligent and rational interaction in multi-agent systems has been one of the main issues in Artificial Intelligence that gained momentum in the last decade of the past century. The 'agents' under discussion mainly referred autonomous actors like software programs, robots and even humans. Interaction among them can be cooperative as well as non-cooperative.

This is now merging into broader studies of formal models of society, where computer science meets decision theory, game theory, and social choice theory, for instance in the study of rational deliberation and decision making. One connection which has been made here is 'social software', an interesting perspective, but as yet without a complete theory. We have lots of detailed studies of agents' knowledge, beliefs, preferences, and also of their long-term powers for influencing the outcomes of games. But we do not have a good theory of what may be the most crucial ingredient here: the plans or strategies that information-processing agents have for achieving these goals. In other words, their know-how in addition to their know-that. This is the main topic of this research program.

Group leader: Rineke Verbrugge
Participating researchers: 2
Research programme: Multi-agent systems
Research institute: Bernoulli Institute
Faculty: Faculty of Science and Engineering
Graduate School: Graduate School of Science and Engineering (GSSE)
Collaboration: Institute for Logic, Language and Computation, University of Amsterdam
Links: Stratmas

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Last modified:03 March 2020 2.51 p.m.