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» Multiagent learning in adaptive dynamic systems
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GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 10 months ago
Multi-agent task allocation: learning when to say no
This paper presents a communication-less multi-agent task allocation procedure that allows agents to use past experience to make non-greedy decisions about task assignments. Exper...
Adam Campbell, Annie S. Wu, Randall Shumaker
AGENTS
1999
Springer
14 years 1 months ago
On Being a Teammate: Experiences Acquired in the design of RoboCup Teams
Increasingly, multi-agent systems are being designed for a variety of complex, dynamic domains. E ective agent interactions in such domains raise some of most fundamental research...
Stacy Marsella, Jafar Adibi, Yaser Al-Onaizan, Gal...
ANOR
2005
128views more  ANOR 2005»
13 years 9 months ago
Expectation-Stock Dynamics in Multi-Agent Fisheries
In this paper we consider a game-theoretic dynamic model describing the exploitation of a renewable resource. Our model is based on a Cournot oligopoly game where n profit-maximizi...
Gian Italo Bischi, Michael Kopel, Ferenc Szidarovs...
ACOM
2006
Springer
14 years 3 months ago
Using Social Commitments to Control the Agents' Freedom of Speech
Communication is essential in multi-agent systems, since it allows agents to share knowledge and to coordinate. However, in open multi-agent systems, autonomous and heterogeneous a...
Guillaume Muller, Laurent Vercouter
ICALT
2006
IEEE
14 years 3 months ago
Sharing Knowledge in Adaptive Learning Systems
In this paper we deal with knowledge representation in the area of learning design and adaptive learning. Specification of concrete instances is usually context-dependent and does...
Milos Kravcik, Dragan Gasevic