Virtual Utility Based Strategy Selection in Games
نویسندگان
چکیده
Intelligent systems play a crucial role in our everyday life. Yet there is still no general concept for designing such systems. Systems are designed on a case-by-case basis, mostly in an ad-hoc fashion lacking any kind of general design strategy. My research aims to solve the above problem by unifying game, agent, and evolution theory using a special concept of rationality: bounded optimality [1]. A bounded optimal agent has a program that is a solution to the constrained optimization problem defined by its architecture and the task environment [2]. To be able to design and analyze such complex, intelligent agent systems, an appropriate, abstract model of agent-programs is required. Virtual utility is proposed as a key component of a general decision-making mechanism that models agent-programs.
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