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ICML
1999
IEEE
14 years 8 months ago
Implicit Imitation in Multiagent Reinforcement Learning
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
Bob Price, Craig Boutilier
ATAL
2010
Springer
13 years 8 months ago
Reasoning about strategies of multi-agent programs
Verification of multi-agent programs is a key problem in agent research and development. This paper focuses on multi-agent programs that consist of a finite set of BDI-based agent...
Mehdi Dastani, Wojciech Jamroga
ATAL
2006
Springer
13 years 11 months ago
A computer-supported cooperative learning system with multiagent intelligence
In this paper, we describe an innovative infrastructure to support student participation and collaboration and help the instructor manage large or distance classrooms using multia...
Leen-Kiat Soh, Nobel Khandaker, Xuliu Liu, Hong Ji...
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 1 months ago
Agent-environment interaction in a multi-agent system: a formal model
In this paper, we introduce a formal-language model for explicitly formalizing agent-environment interaction in a multiagent systems (MAS) framework: Conversational Grammar System...
Gemma Bel Enguix, Maria Dolores Jiménez-L&o...
CEEMAS
2001
Springer
14 years 5 days ago
UML for Behavior-Oriented Multi-agent Simulations
Developing multi-agent simulations seems to be rather straight forward, as active entities in the original correspond to active agents in the model. Thus plausible behaviors can be...
Christoph Oechslein, Franziska Klügl, Rainer ...