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» Problems of learning in multi-agent systems
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AAAI
1996
13 years 11 months ago
Total-Order Multi-Agent Task-Network Planning for Contract Bridge
This paper describes the results of applying a modified version of hierarchical task-network (HTN) planning to the problem of declarer play in contract bridge. We represent inform...
Stephen J. J. Smith, Dana S. Nau, Thomas A. Throop
WCE
2007
13 years 11 months ago
A Multi-Agent Approach for Intelligent Traffic-Light Control
—In this paper we propose a multi-agent approach for traffic-light control. According to this approach, our system consists of agents and their world. In this context, the world ...
Visit Hirankitti, Jaturapith Krohkaew, Christopher...
ATAL
2003
Springer
14 years 3 months ago
A selection-mutation model for q-learning in multi-agent systems
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
Karl Tuyls, Katja Verbeeck, Tom Lenaerts
AIPS
2003
13 years 11 months ago
A Multi-Agent System-driven AI Planning Approach to Biological Pathway Discovery
As genomic and proteomic data is collected from highthroughput methods on a daily basis, subcellular components are identified and their in vitro behavior is characterized. Howev...
Salim Khan, William Gillis, Carl Schmidt, Keith De...
AAAI
2012
12 years 7 days ago
Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League
Real-world AI systems have been recently deployed which can automatically analyze the plan and tactics of tennis players. As the game-state is updated regularly at short intervals...
Patrick Lucey, Alina Bialkowski, Peter Carr, Eric ...