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» Learning in Multi-Agent Systems
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ICMAS
1998
13 years 8 months ago
Multi-Machine Scheduling - A Multi-Agent Learning Approach
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...
Wilfried Brauer, Gerhard Weiß
WCE
2007
13 years 8 months ago
Stock Technical Analysis using Multi Agent and Fuzzy Logic
—this paper proposes a multi agent and fuzzy logic based DSS for stock market. This system will help investors of the stock market to take the correct buy/sell/hold decisions. Th...
Ahmed Abdullah Gamil, Raafat S. Elfouly, Nevin M. ...
LAMAS
2005
Springer
14 years 27 days 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 ...
AOSE
2003
Springer
14 years 19 days ago
Activity Theory for the Analysis and Design of Multi-agent Systems
This paper shows how to verify a Multi-Agent System specification using human organization metaphors. This proposal applies Activity Theory, which has its roots in Sociology, to st...
Rubén Fuentes, Jorge J. Gómez-Sanz, ...
CAISE
2005
Springer
14 years 29 days ago
Organizational Model to Derive Multi-Agent Architecture from Requirements
Abstract. Understanding and supporting the interaction between software requirements and architectures remains one of the challenging problems in software engineering research. To ...
Lúcia R. D. Bastos, Jaelson Brelaz de Castr...