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ATAL
2007
Springer
16 years 24 days ago
Multiagent reinforcement learning and self-organization in a network of agents
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Sherief Abdallah, Victor R. Lesser
HAIS
2009
Springer
15 years 11 months ago
A Generic and Extendible Multi-Agent Data Mining Framework
A generic and extendible Multi-Agent Data Mining (MADM) framework, EMADS (the Extendible Multi-Agent Data mining System) is described. The central feature of the framework is that ...
Kamal Ali Albashiri, Frans Coenen
AAAI
2007
15 years 9 months ago
The Marchitecture: A Cognitive Architecture for a Robot Baby
The Marchitecture is a cognitive architecture for autonomous development of representations. The goals of The Marchitecture are domain independence, operating in the absence of kn...
Marc Pickett, Tim Oates
ACMICEC
2003
ACM
172views ECommerce» more  ACMICEC 2003»
15 years 12 months ago
Automated mechanism design: complexity results stemming from the single-agent setting
The aggregation of conflicting preferences is a central problem in multiagent systems. The key difficulty is that the agents may report their preferences insincerely. Mechanism ...
Vincent Conitzer, Tuomas Sandholm
ICCS
2007
Springer
16 years 23 days ago
Integration of Biological, Psychological, and Social Aspects in Agent-Based Simulation of a Violent Psychopath
In the analysis of criminal behaviour, a combination of biological, psychological and social aspects may be taken into account. Dynamical modelling methods developed in recent year...
Tibor Bosse, Charlotte Gerritsen, Jan Treur