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Adaptive Multi−agent Programming in GTGolog

Abstract:

We present a novel approach to adaptive multi-agent programming, which is based on an integration of the agent programming language GTGolog with adaptive dynamic programming techniques. GTGolog combines explicit agent programming in Golog with multi-agent planning in stochastic games. A drawback of this framework, however, is that the transition probabilities and reward values of the domain must be known in advance and then cannot change anymore. But such data is often not available in adv...

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Publisher:
Springer
Volume:
4314
Publication date:
2007-01-01
URN:
uuid:7d36cfe5-9e78-46e7-8ce9-f41723c9f40c
Local pid:
cs:6682
ISBN:
978-3-540-69911-8

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