Modeling Observation in Intelligent Agents: Knowledge and Belief
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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In this paper, a method is presented for controlling autonomous agent behavior by filtering the agents input. Without such filtering, the agent is allowed to have exact knowledge of the state of its domain, resulting in a pattern of performance that is unrealistic and consistently successful. However, filtering the knowledge into beliefs is a way of making it possible for the agent to be unsuccessful some of the time. That is, if the agent is working from beliefs, and the beliefs happen to be wrong, then the agent may not reach its goal at that particular instant. An application for this method--control of an autonomous combat force in a simulation system--is developed and demonstrated in this paper. The algorithm for generating beliefs about battlefield events models the information-gathering system of a combat force. However, this model attempts to simulate the results of the information-gathering system, and not the cognitive or perceptive processes contained in such a system.
- Information Science
- Computer Programming and Software
- Military Operations, Strategy and Tactics