Modeling observation in intelligent agents : knowledge and belief
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Authors
Branley, William C., Jr.
Subjects
Advisors
Bhargava, Hemant
Date of Issue
1989-03
Date
Mar-92
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
In this paper, a method is presented for controlling autonomous agent behavior by filtering the agent's 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 that 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.
Type
Thesis
Description
Series/Report No
Department
Administrative Sciences
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
vi, 74 p.;28 cm.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.