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Published Articles >> Table of Contents >> Abstract
18th International Conference on Advanced Information Networking and Applications (AINA'04) Volume 2
p. 155
Collaborative Neuro-BDI Agents in Container Terminals
Prasanna Lokuge, Monash University, Australia
Damminda Alahakoon, Monash University, Australia
Parakrama Dissanayake, Sri Lanka Ports Authority, Sri Lanka
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2004.1283776
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| Abstract |
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Berth scheduling and monitoring of the vessel operations
are of paramount importance in order to assure faster
turnaround time and high productivity of any container
terminal. The need for an intelligent system that
dynamically adapts to the changing environment is
apparent, as there are a limited number of berths and
resources available in container terminals for delivering
services to vessels. In this paper we discuss how BDI
(Beliefs, Desires and Intentions) agents can be supported
with Neural Network and fuzzy logic in a collaborative
environment of a multi agents system for the scheduling
and monitoring of vessel berths in container ports.
Straightforward plans are handled by the generic BDI
architecture. Complex planning which requires the
learning and adaptability behavior is modeled with
neural networks. Beliefs with fuzzy scenarios are
modeled with fuzzy logic enabling agents to make
rational decisions in the environment of uncertainty.
Agents can autonomously adapt to the changing
environment in assigning berths for vessels.
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 Additional Information
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Citation:
Prasanna Lokuge, Damminda Alahakoon, Parakrama Dissanayake,
"Collaborative Neuro-BDI Agents in Container Terminals,"
aina,
p. 155,
18th International Conference on Advanced Information Networking and Applications (AINA'04) Volume 2,
2004
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