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MAAMAW
1999
Springer
15 years 4 months ago
Cooperative Plan Selection Through Trust
Cooperation plays a fundamental role in multi-agent systems in which individual agents must interact for the overall system to function effectively. However, cooperation inherently...
Nathan Griffiths, Michael Luck
JMLR
2006
153views more  JMLR 2006»
14 years 11 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
CIG
2005
IEEE
15 years 5 months ago
A Hybrid AI System for Agent Adaptation in a First Person Shooter
The aim of developing an agent that is able to adapt its actions in response to their effectiveness within the game provides the basis for the research presented in this paper. It ...
Abdennour El Rhalibi, Michael Burkey
AAAI
1994
15 years 1 months ago
Agents that Learn to Explain Themselves
Intelligent artificial agents need to be able to explain and justify their actions. They must therefore understand the rationales for their own actions. This paper describes a tec...
W. Lewis Johnson
ATAL
2006
Springer
15 years 3 months ago
Learning a common language through an emergent interaction topology
We study the effects of various emergent topologies of interaction on the rate of language convergence in a population of communicating agents. The agents generate, parse, and lea...
Samarth Swarup, Kiran Lakkaraju, Les Gasser