627 search results - page 24 / 126 » Evolution and learning in multiagent systems |
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
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...
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
One of the key issues in designing appropriate and effective learning environments is understanding how learners advance and what factors contribute to their progress. This holds...
SMC
2007
IEEE
14 years 1 months ago
2007
IEEE
—This paper discusses a new implementation of embodied evolution that uses the concept of punctuated anytime learning to increase the complexity of tasks that the learning system...
LAMAS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
AGENTS
2001
Springer
13 years 11 months ago
2001
Springer
Multiagent learning di ers from standard machine learning in that most existing learning methods assume that all knowledge is available locally in a single agent. In multiagent sy...