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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 8 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
14 years 4 days 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