53 search results - page 8 / 11 » Distributed Learning in Intentional BDI Multi-Agent Systems |
94
Voted
ATAL
2011
Springer
13 years 9 months ago
2011
Springer
In multi-agent planning environments, action models for each agent must be given as input. However, creating such action models by hand is difficult and time-consuming, because i...
102
Voted
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
This article deals with the problem of collaborative learning in a multi-agent system. Here each agent can update incrementally its beliefs B (the concept representation) so that ...
81
Voted
ATAL
2008
Springer
14 years 11 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...
112
Voted
LAMAS
2005
Springer
15 years 3 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...