Loading…

Everyday Believability

Believable Agents must be able to handle a large number of goals, opportunistically acting on them while maintaining a focus of purpose. They also must be able to operate over long life times without signifIcant performance degradations. We describe in this paper a method of managing an agent's...

Full description

Saved in:
Bibliographic Details
Main Authors: Pelton, Garrett A, Lehman, Jill F
Format: Report
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Pelton, Garrett A
Lehman, Jill F
description Believable Agents must be able to handle a large number of goals, opportunistically acting on them while maintaining a focus of purpose. They also must be able to operate over long life times without signifIcant performance degradations. We describe in this paper a method of managing an agent's goals so that the agent can make progress on as many goals as possible, without spending undue time considering goals that it can't make progress on. The key part of this method is a way of specializing and generalizing the set of perceptual cues that are used to bring a goal into consideration by the agent. The method is described via a simple example. (AN)
format report
fullrecord <record><control><sourceid>dtic_1RU</sourceid><recordid>TN_cdi_dtic_stinet_ADA294938</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>ADA294938</sourcerecordid><originalsourceid>FETCH-dtic_stinet_ADA2949383</originalsourceid><addsrcrecordid>eNrjZBBzLUstqkxJrFRwSs3JTC1LTMrMySyp5GFgTUvMKU7lhdLcDDJuriHOHropJZnJ8cUlmXmpJfGOLo5GliaWxhbGBKQBZQEe7Q</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>report</recordtype></control><display><type>report</type><title>Everyday Believability</title><source>DTIC Technical Reports</source><creator>Pelton, Garrett A ; Lehman, Jill F</creator><creatorcontrib>Pelton, Garrett A ; Lehman, Jill F ; CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE</creatorcontrib><description>Believable Agents must be able to handle a large number of goals, opportunistically acting on them while maintaining a focus of purpose. They also must be able to operate over long life times without signifIcant performance degradations. We describe in this paper a method of managing an agent's goals so that the agent can make progress on as many goals as possible, without spending undue time considering goals that it can't make progress on. The key part of this method is a way of specializing and generalizing the set of perceptual cues that are used to bring a goal into consideration by the agent. The method is described via a simple example. (AN)</description><language>eng</language><subject>ALGORITHMS ; ARTIFICIAL INTELLIGENCE ; COMPUTERIZED SIMULATION ; CONTROL THEORY ; Cybernetics ; DECISION MAKING ; DEGRADATION ; EXECUTIVE ROUTINES ; LEARNING MACHINES ; LONG RANGE(TIME) ; OPERATING SYSTEMS(COMPUTERS) ; OPTIMIZATION ; PATTERN RECOGNITION ; RULE BASED SYSTEMS ; SYSTEMS ANALYSIS</subject><creationdate>1995</creationdate><rights>APPROVED FOR PUBLIC RELEASE</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,780,885,27567,27568</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA294938$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Pelton, Garrett A</creatorcontrib><creatorcontrib>Lehman, Jill F</creatorcontrib><creatorcontrib>CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE</creatorcontrib><title>Everyday Believability</title><description>Believable Agents must be able to handle a large number of goals, opportunistically acting on them while maintaining a focus of purpose. They also must be able to operate over long life times without signifIcant performance degradations. We describe in this paper a method of managing an agent's goals so that the agent can make progress on as many goals as possible, without spending undue time considering goals that it can't make progress on. The key part of this method is a way of specializing and generalizing the set of perceptual cues that are used to bring a goal into consideration by the agent. The method is described via a simple example. (AN)</description><subject>ALGORITHMS</subject><subject>ARTIFICIAL INTELLIGENCE</subject><subject>COMPUTERIZED SIMULATION</subject><subject>CONTROL THEORY</subject><subject>Cybernetics</subject><subject>DECISION MAKING</subject><subject>DEGRADATION</subject><subject>EXECUTIVE ROUTINES</subject><subject>LEARNING MACHINES</subject><subject>LONG RANGE(TIME)</subject><subject>OPERATING SYSTEMS(COMPUTERS)</subject><subject>OPTIMIZATION</subject><subject>PATTERN RECOGNITION</subject><subject>RULE BASED SYSTEMS</subject><subject>SYSTEMS ANALYSIS</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1995</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZBBzLUstqkxJrFRwSs3JTC1LTMrMySyp5GFgTUvMKU7lhdLcDDJuriHOHropJZnJ8cUlmXmpJfGOLo5GliaWxhbGBKQBZQEe7Q</recordid><startdate>199503</startdate><enddate>199503</enddate><creator>Pelton, Garrett A</creator><creator>Lehman, Jill F</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>199503</creationdate><title>Everyday Believability</title><author>Pelton, Garrett A ; Lehman, Jill F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA2949383</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1995</creationdate><topic>ALGORITHMS</topic><topic>ARTIFICIAL INTELLIGENCE</topic><topic>COMPUTERIZED SIMULATION</topic><topic>CONTROL THEORY</topic><topic>Cybernetics</topic><topic>DECISION MAKING</topic><topic>DEGRADATION</topic><topic>EXECUTIVE ROUTINES</topic><topic>LEARNING MACHINES</topic><topic>LONG RANGE(TIME)</topic><topic>OPERATING SYSTEMS(COMPUTERS)</topic><topic>OPTIMIZATION</topic><topic>PATTERN RECOGNITION</topic><topic>RULE BASED SYSTEMS</topic><topic>SYSTEMS ANALYSIS</topic><toplevel>online_resources</toplevel><creatorcontrib>Pelton, Garrett A</creatorcontrib><creatorcontrib>Lehman, Jill F</creatorcontrib><creatorcontrib>CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pelton, Garrett A</au><au>Lehman, Jill F</au><aucorp>CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Everyday Believability</btitle><date>1995-03</date><risdate>1995</risdate><abstract>Believable Agents must be able to handle a large number of goals, opportunistically acting on them while maintaining a focus of purpose. They also must be able to operate over long life times without signifIcant performance degradations. We describe in this paper a method of managing an agent's goals so that the agent can make progress on as many goals as possible, without spending undue time considering goals that it can't make progress on. The key part of this method is a way of specializing and generalizing the set of perceptual cues that are used to bring a goal into consideration by the agent. The method is described via a simple example. (AN)</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_dtic_stinet_ADA294938
source DTIC Technical Reports
subjects ALGORITHMS
ARTIFICIAL INTELLIGENCE
COMPUTERIZED SIMULATION
CONTROL THEORY
Cybernetics
DECISION MAKING
DEGRADATION
EXECUTIVE ROUTINES
LEARNING MACHINES
LONG RANGE(TIME)
OPERATING SYSTEMS(COMPUTERS)
OPTIMIZATION
PATTERN RECOGNITION
RULE BASED SYSTEMS
SYSTEMS ANALYSIS
title Everyday Believability
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T09%3A40%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-dtic_1RU&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.btitle=Everyday%20Believability&rft.au=Pelton,%20Garrett%20A&rft.aucorp=CARNEGIE-MELLON%20UNIV%20PITTSBURGH%20PA%20SCHOOL%20OF%20COMPUTER%20SCIENCE&rft.date=1995-03&rft_id=info:doi/&rft_dat=%3Cdtic_1RU%3EADA294938%3C/dtic_1RU%3E%3Cgrp_id%3Ecdi_FETCH-dtic_stinet_ADA2949383%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true