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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
A New
Approach In Learning For Intelligent Multi Agent Systems |
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Authors: |
Ahmed M. Elmahalawy |
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Published in:
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ECMS
2007 Proceedings Edited
by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni ISBN:
978-0-9553018-2-7 Doi: 10.7148/2007 21st European
Conference on Modelling and Simulation, Prague, June
4-6, 2007 |
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Citation
format: |
Elmahalawy, A. M. (2007). A New Approach In
Learning For Intelligent Multi Agent Systems. ECMS 2007 Proceedings edited
by: I. Zelinka, Z. Oplatkova,
A. Orsoni (pp. 593-598).
European Council for Modeling and Simulation. doi:10.7148/2007-0593. |
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DOI: |
http://dx.doi.org/10.7148/2007-0593 |
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Abstract: |
The
agent technology has recently become one of the most vibrant and fastest
growing areas in information technology. This technology is developed to use
more than one agent in the system; this is called Multi Agent systems (MAS).
The system that depends on this technology should have been studied
extensively. One of the most important characteristic
of this is its ability to learn and adapt itself, where it has been done
using one of the machine learning algorithms. Repertory Grid (RG) which has become a widely used and accepted technique
for knowledge elicitation and has been implemented as a major component for
many computer- based knowledge acquisition systems. In this paper, RG has
been developed to be one of the machine learning algorithms and then used in
MAS. |
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