A PURSUIT-EVASION GAME BASED ON MENTAL FUNCTIONS AND RATIONAL-CHOICE THEORY

Abstract

In the most general sense human-level Artificial Intelligence is essentially an attempt to understand and imbibe human mind and its functions in machines. The effort has driven man to understand how humans accomplish cognitive tasks like reasoning, learning, planning, acting, problem solving etc. in the first place. Artificial Intelligence constitute a continuum of attempts to model adaptive, learning and cognitive abilities in all the varying degrees of complexities we know from biology and psychology. The purpose of present research project is to design a pursuit – evasion game model for a dynamic environment with both the pursuer and evader having partial information about the environment. Both pursuer and evader are designed as cognitive cellular automata agent with conflict-level spatial problem-solving abilities. Such an agent will have the capability to reason, learn and plan in a manner similar to a human being. The architecture of pursuer and evader has a fuzzy inference s...