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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 4 months ago
Towards incremental social learning in optimization and multiagent systems
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
Marco Antonio Montes de Oca, Thomas Stützle
IAT
2008
IEEE
15 years 3 months ago
Interaction Selection Ambiguities in Multi-agent Systems
To ensure multi-agent based simulation models reproducibility, particular attention must be payed on its possible implementation ambiguities. This concerns every aspect of simulat...
Yoann Kubera, Philippe Mathieu, Sébastien P...
COMPSAC
2007
IEEE
15 years 9 months ago
An Adaptive Security Model for Multi-agent Systems and Application to a Clinical Trials Environment
We present in this paper an adaptive security model for Multi-agent systems. A security meta-model has been developed in which the traditional role concept has been extended. The ...
Liang Xiao 0002, Andrew Peet, Paul H. Lewis, Srina...
134
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AOSE
2007
Springer
15 years 9 months ago
A Methodology for Developing Multiagent Systems as 3D Electronic Institutions
In this paper we propose viewing Virtual Worlds as open Multiagent Systems and propose the 3D Electronic Institutions methodology for their development. 3D Electronic Institutions ...
Anton Bogdanovych, Marc Esteva, Simeon J. Simoff, ...
CIA
2004
Springer
15 years 9 months ago
Society-Centered Design for Socially Embedded Multiagent Systems
To realize large-scale socially embedded multiagent systems, this paper proposes a new system design methodology towards society-centered design. We have already developed the scen...
Toru Ishida