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» Adversarial Behavior in Multi-agent Systems
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LAMAS
2005
Springer
14 years 2 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 ...
IJMMS
1998
74views more  IJMMS 1998»
13 years 8 months ago
Towards collaborative and adversarial learning: a case study in robotic soccer
Soccer is a rich domain for the study of multiagent learning issues. Not only must the players learn low-level skills, but they must also learn to work together and to adapt to th...
Peter Stone, Manuela M. Veloso
IFIPTM
2010
113views Management» more  IFIPTM 2010»
13 years 7 months ago
Impact of Trust Management and Information Sharing to Adversarial Cost in Ranking Systems
Ranking systems such as those in product review sites and recommender systems usually use ratings to rank favorite items based on both their quality and popularity. Since higher ra...
Le-Hung Vu, Thanasis G. Papaioannou, Karl Aberer
ATAL
2009
Springer
14 years 3 months ago
Stigmergic landmark foraging
In this paper, we describe a nature-inspired optimization algorithm based on bee foraging behavior. This algorithm combines the high performance of bee path-integration navigation...
Nyree Lemmens, Karl Tuyls
CAISE
2003
Springer
14 years 1 months ago
Ontological Basis for Agent ADL
Abstract. Multi-Agent Systems (MAS) architectures are gaining popularity over traditional ones for building open, distributed or evolving software. To formally define system archit...
Stéphane Faulkner, Manuel Kolp