A metamorphic internal image with the complex learning system

Abstract

This study presents an autonomous agent which is able to behave appropriately in the complex environment with unsophisticated sensors. To satisfy this aim, an internal cognitive space, called a metamorphic internal image space, is introduced. The metamorphic internal image space is a space that integrates the sensory inputs and the temporal change of the space, so that the agent is able to behave by relying only on the image. An agent with the metamorphic internal image is considered to have following two major characteristics: 1) it can learn the chain of actions considered as a behavior; and 2) it can move with/without the change of sensory input pattern. A learning mechanism based on a multi-agent system is introduced for the realization of the metamorphic internal image. The behavior of the multi-agent system can be regarded as a complex system. Computational experiments show the emergent behavior of the mobile agent with metamorphic internal image based on the complex learning system.