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AAAI
2010
13 years 9 months ago
Multi-Agent Learning with Policy Prediction
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
Chongjie Zhang, Victor R. Lesser
AAAI
2010
13 years 9 months ago
Biologically-Inspired Control for Multi-Agent Self-Adaptive Tasks
Decentralized agent groups typically require complex mechanisms to accomplish coordinated tasks. In contrast, biological systems can achieve intelligent group behaviors with each ...
Chih-Han Yu, Radhika Nagpal
ICMAS
1998
13 years 9 months ago
The Moving Target Function Problem in Multi-Agent Learning
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
José M. Vidal, Edmund H. Durfee
JNW
2008
164views more  JNW 2008»
13 years 7 months ago
Improving Multi-Agent Based Resource Coordination in Peer-to-Peer Networks
The distributed nature of peer-to-peer networks offers a solid ground for the deployment of environments where multiple agents, managing several resources, can cooperate in pursuin...
António Luis Lopes, Luís Miguel Bote...
ECAI
1994
Springer
13 years 12 months ago
The DUAL Cognitive Architecture: A Hybrid Multi-Agent Approach
1 A hybrid (symbolic/connectionist) cognitive architecture, DUAL, is proposed. It is a multi-agent system which consist of a large number of non-cognitive, relatively simple agents...
Boicho N. Kokinov