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AAAI
2010
13 years 8 months ago
Trial-Based Dynamic Programming for Multi-Agent Planning
Trial-based approaches offer an efficient way to solve singleagent MDPs and POMDPs. These approaches allow agents to focus their computations on regions of the environment they en...
Feng Wu, Shlomo Zilberstein, Xiaoping Chen
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
13 years 11 months ago
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming
This paper presents the emergence of the cooperative behavior for multiple agents by means of Genetic Programming (GP). For the purpose of evolving the effective cooperative behav...
Hitoshi Iba, Makoto Terao
ECAI
2006
Springer
13 years 11 months ago
Adaptive Multi-Agent Programming in GTGolog
Alberto Finzi, Thomas Lukasiewicz
ARCS
2008
Springer
13 years 9 months ago
How Efficient are Creatures with Time-shuffled Behaviors?
: The task of the creatures in the "creatures' exploration problem" is to visit all empty cells in an environment with a minimum number of steps. We have analyzed th...
Patrick Ediger, Rolf Hoffmann, Mathias Halbach
ATAL
2003
Springer
14 years 18 days ago
Integrating evolutionary computing and the SADDE methodology
This paper introduces a methodology to help the programmer in the transition from a set of desired global properties expressed as an equation-based model (EBM) that a Multi-Agent ...
Carles Sierra, Jordi Sabater, Jaume Agustí-...