抄録
This paper presents methods using Genetic Algorithm (GA) and Genetic Programming (GP) to presume mimetic object's intention. The latest research results obtained from simulation have proved a theory that if a robot presumed an intention of a mimetic object correctly, it will learn the object's behavior efficiently. Therefore, it can be justified whether a robot got a mimetic object's intention by evaluating the robot's learning efficiency. The simulation results based on these methods also will be presented.
