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ATAL
2010
Springer
15 years 4 months ago
Using answer set programming to model multi-agent scenarios involving agents' knowledge about other's knowledge
One of the most challenging aspects of reasoning, planning, and acting in a multi-agent domain is reasoning about what the agents know about the knowledge of their fellows, and to...
Chitta Baral, Gregory Gelfond, Tran Cao Son, Enric...
125
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ECAI
2008
Springer
15 years 5 months ago
Agent-Based and Population-Based Simulation of Displacement of Crime (extended abstract)
acement of Crime (extended abstract) Tibor Bosse and Charlotte Gerritsen and Mark Hoogendoorn and S. Waqar Jaffry and Jan Treur1 Within Criminology, the process of crime displaceme...
Tibor Bosse, Charlotte Gerritsen, Mark Hoogendoorn...
ATAL
2006
Springer
15 years 7 months ago
Learning to cooperate in multi-agent social dilemmas
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
Jose Enrique Munoz de Cote, Alessandro Lazaric, Ma...
AAMAS
2011
Springer
14 years 11 months ago
Using focal point learning to improve human-machine tacit coordination
We consider an automated agent that needs to coordinate with a human partner when communication between them is not possible or is undesirable (tacit coordination games). Specifi...
Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschei...
ECAI
2000
Springer
15 years 8 months ago
Achieving Coordination through Combining Joint Planning and Joint Learning
There are two major approaches to activity coordination in multiagent systems. First, by endowing the agents with the capability to jointly plan, that is, to jointly generate hypot...
Gerhard Weiss