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2007
Springer
13 years 11 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
HICSS
2003
IEEE
207views Biometrics» more  HICSS 2003»
13 years 10 months ago
Formalizing Multi-Agent POMDP's in the context of network routing
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
13 years 10 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu