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AIPS
2003
15 years 5 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...
ATAL
2008
Springer
15 years 6 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
115
Voted
ML
1998
ACM
15 years 3 months ago
Conjectural Equilibrium in Multiagent Learning
Abstract. Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents’ actions are oft...
Michael P. Wellman, Junling Hu
KES
2007
Springer
15 years 10 months ago
Calculating Optimal Decision Using Meta-level Agents for Multi-Agents in Networks
In spatial graphs with a vast number of nodes, it is difficult to compute a solution to graph optimisation problems. We propose an approach using meta-level agents for multi-agents...
Anne Håkansson, Ronald L. Hartung
ATAL
2004
Springer
15 years 9 months ago
Multiagent Planning as Control Synthesis
This paper proposes a new multiagent planning approach to coordination synthesis that views distributed agents as discrete-event processes. The connection between discreteevent co...
Kiam Tian Seow, Chuan Ma, Makoto Yokoo