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» Problems of learning in multi-agent systems
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TSMC
2008
146views more  TSMC 2008»
13 years 9 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
ICCS
2005
Springer
14 years 3 months ago
The Dynamics of Computing Agent Systems
The paper presents the Multi Agent System (MAS) designed for the large scale parallel computations. The special kind of diffusionbased scheduling enables to decompose and allocate...
Maciej Smolka, Piotr Uhruski, Robert Schaefer, Mar...
ACRI
2008
Springer
14 years 4 months ago
GP Generation of Pedestrian Behavioral Rules in an Evacuation Model Based on SCA
This paper presents a research in the context of pedestrian dynamics according to Situated Cellular Agent (SCA), a Multi-Agent Systems approach whose roots are on Cellular Automata...
Stefania Bandini, Sara Manzoni, Giancarlo Mauri, S...
ATAL
2003
Springer
14 years 3 months ago
Dynamic Imputation of Agent Cognition
People can interact much more readily with a multi-agent system if they can understand it in cognitive terms. Modern work on “BDI agents” emphasizes explicit representation of ...
H. Van Dyke Parunak, Sven Brueckner
CRIWG
2003
13 years 11 months ago
Application Design Based on Work Ontology and an Agent Based Awareness Server
Collaborative Systems support user groups enabling a shared environment and informing of its state and changes through a mechanism called awareness. We believe that these changes a...
Rosa Alarcón, David A. Fuller