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.
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Fischer, K., Kuhn, N., Müller, H.J. et al. Modeling the transportation domain. Comput Econ 8, 81–93 (1995). https://doi.org/10.1007/BF01299711
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DOI: https://doi.org/10.1007/BF01299711