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» Multi-agent learning for engineers
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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
ENC
2004
IEEE
13 years 11 months ago
Distributed Learning in Intentional BDI Multi-Agent Systems
Despite the relevance of the belief-desire-intention (BDI) model of rational agency, little work has been done to deal with its two main limitations: the lack of learning competen...
Alejandro Guerra-Hernández, Amal El Fallah-...
ARCS
2008
Springer
13 years 9 months ago
How Efficient are Creatures with Time-shuffled Behaviors?
: The task of the creatures in the "creatures' exploration problem" is to visit all empty cells in an environment with a minimum number of steps. We have analyzed th...
Patrick Ediger, Rolf Hoffmann, Mathias Halbach
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...
ESAW
2005
Springer
14 years 29 days ago
Developing Multi Agent Systems on Semantic Web Environment Using SEAGENT Platform
In this paper, we discuss the development of a multi agent system working on the Semantic Web environment by using a new framework called SEAGENT. SEAGENT is a new agent developmen...
Oguz Dikenelli, Riza Cenk Erdur, Geylani Kardas, &...