ISSN:
1572-9974
Keywords:
Multi-agent systems
;
(distributed) planning
;
communication
;
resource scheduling
;
logistics
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
,
Economics
Notes:
Abstract The transportation domain is presented as a multi-agent scenario and the use of techniques of Distributed Artificial Intelligence (DAI) for solving cooperatively the hard problems that occur in this domain are demonstrated. After a motivation and a description of the domain we will address questions of cooperation between the agents, techniques for task decomposition and task allocation, and multi-agent planning and scheduling. By introducing a cooperation protocol, examples will be presented that show the utility of the approach. Finally, some implementation aspects will be considered.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01299711
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