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AAMAS
2005
Springer
13 years 7 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
AUTOMATICA
2007
88views more  AUTOMATICA 2007»
13 years 7 months ago
Three and higher dimensional autonomous formations: Rigidity, persistence and structural persistence
In this paper, we generalize the notion of persistence, which has been originally introduced for two-dimensional formations, to Rd for d 3, seeking to provide a theoretical framew...
Changbin Yu, Julien M. Hendrickx, Baris Fidan, Bri...
ATAL
2007
Springer
14 years 1 months ago
Implementing Norms That Govern Non-dialogical Actions
The governance of open multi-agent systems is particular important since those systems are composed by heterogeneous, autonomous and independently designed agents. Such governance ...
Viviane Torres da Silva
ATAL
2010
Springer
13 years 8 months ago
Heuristic search for identical payoff Bayesian games
Bayesian games can be used to model single-shot decision problems in which agents only possess incomplete information about other agents, and hence are important for multiagent co...
Frans A. Oliehoek, Matthijs T. J. Spaan, Jilles St...
LAMAS
2005
Springer
14 years 1 months ago
An Overview of Cooperative and Competitive Multiagent Learning
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...
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean ...