Decision Theoretic Agent Design for Personal Rapid Transit Systems
نویسندگان
چکیده
agents are designed to utilize the known methods of machine learning with Bayesian Networks (BN): parameter learning and structure learning. In addition, a new method of machine learning with BNs, termed utility learning in this paper, is introduced. BN software for Matlab is used to realize the proposed agent. Additional software is written to simulate the PRT problem using various intelligent agents that utilize one or more learning methods.
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ورودعنوان ژورنال:
- Engineering Letters
دوره 15 شماره
صفحات -
تاریخ انتشار 2007