Hybrid BDI agents with improved learning capabilities for adaptive planning in a container terminal application

Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004

Volumn , Issue , 2004, Pages 120-126

  Lokuge, Prasanna ^a   Alahakoon, Damminda ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE NEURO FUZZY INFERENCE SYSTEMS (ANFIS); AGENT MODELS; PORT OPERATIONS; SHIPPING APPLICATIONS;

COMPUTER SIMULATION; COMPUTER SOFTWARE; FUZZY CONTROL; INFERENCE ENGINES; KNOWLEDGE ACQUISITION; NEURAL NETWORKS; SHIPBUILDING;

INTELLIGENT AGENTS;

EID: 16244378244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IAT.2004.1342933     Document Type: Conference Paper

References (8)

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2. Lokuge D.P.S and Alahakoon D, Collaborative Neuro-BDI Agents in Container Terminals, In proceeding of the Advanced /information and Networking Applications, V1,p. 155-158, Jpan 2004.
3. th International workshop; /proceedings ATAL'99,Florida, 1999.
4. Jim Dai, Wuquin Lin, Rajeeva Moorthy and Chung-Piaw Teo. Berth allocation Planning Optimization in container Terminals.
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6. M. Georgeff, B. Pell, M. Pollack, M. Tambe, and M. Wooldridge, The Belief-Desire-Intention Model of Agency, SpringerPublishers, 1998. url: http://citeseer.nj.nec.com/georgeff99beliefdesireintention.html
7. J.-S. Roger Jang, "ANFIS: Adaptive network based fuzzy inference systems," IEEE Trans. on system, Man and Cybernetics, Vol. 23, No. 3, p. 665-685, May/June, 1993. http://citeseer.nj.nec.com/jang93anfis.html.
8. Jorg P. Muller, The Design of Intelligent Agents, A Layered Approach, Springer-Verlag Berlin Heidelberg, New York, 1996