A Fuzzy Agent System to Control the State Transition for an Autonomous Decision Making on Taxi Driving 


Vol. 12,  No. 4, pp. 413-420, Aug.  2005
10.3745/KIPSTB.2005.12.4.413


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  Abstract

In this paper, we apply software agents, which use fuzzy logic and make autonomous decisions according to state transitions, to car driving environment. We carry out an experiment on artificial intelligent car driving in terms of real-time reactive agents. Inference techniques for constructing real-time reactive agents consider the settings with max-product inference, n-fuzzy rules, and n-associatives(A1, B1), ... , (An, Bn). Then we perform defuzzification processes, extract a central value, and work out inference processes.

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[IEEE Style]

C. K. Lim and B. W. Kang, "A Fuzzy Agent System to Control the State Transition for an Autonomous Decision Making on Taxi Driving," The KIPS Transactions:PartB , vol. 12, no. 4, pp. 413-420, 2005. DOI: 10.3745/KIPSTB.2005.12.4.413.

[ACM Style]

Chun Kyu Lim and Byung Wook Kang. 2005. A Fuzzy Agent System to Control the State Transition for an Autonomous Decision Making on Taxi Driving. The KIPS Transactions:PartB , 12, 4, (2005), 413-420. DOI: 10.3745/KIPSTB.2005.12.4.413.

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