On the generality of the evolved driving rules of an agent operating a model of a car

—We present an approach for automated evolutionary design of the functionary of driving agent, able to operate a software model of fast running car. The objective of our work is to automatically discover a set of driving rules (if existent) that are general enough to be able to adequately control the car in all sections of predefined circuits. In order to evolve an agent with such capabilities, we propose an indirect, generative representation of the driving rules as algebraic functions of the features of the current surroundings of the car. These functions, when evaluated for the current surrounding of the car yield concrete values of the main attributes of the driving style (e.g., straight line velocity, turning velocity, etc.), applied by the agent in the currently negotiated section of the circuit. Experimental results verify both the very existence of the general driving rules and the ability of the employed genetic programming framework to automatically discover them. The evolv...

• Type: Conference
• Year: 2008
• Where: CEC
• Authors: Hirotaka Yamazaki, Ivan Tanev, Tomoyuki Hiroyasu, Katsunori Shimohara
• Keywords: Artificial Intelligence, CEC 2008, Current Surrounding, Driving Rules, Fast Running Car