Interactive multistage simulation of goal-driven agents

Detalhes bibliográficos
Autor(a) principal: Ciarlini,Angelo E. M.
Data de Publicação: 1999
Outros Autores: Furtado,Antonio L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Computer Society
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65001999000300004
Resumo: Multistage simulation is employed to help predicting the future actions of collaborating or competing agents, interacting in the mini-world covered by a temporal database. At each stage, their goals are inferred from the current situation, with the help of rules designed to model their behavioural patterns, in turn extracted from records of their past actions. Besides goal-inference rules, the simulation machinery adapts and combines plan-recognition and generation algorithms. The resulting environment is highly interactive, allowing the user to interfere in various ways. A prototype tool (IPG), implemented in Prolog augmented with constraint programming features, was developed and is being used to run experiments.
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spelling Interactive multistage simulation of goal-driven agentsDatabasesTemporal ReasoningPlanningSimulationDecision SupportMultistage simulation is employed to help predicting the future actions of collaborating or competing agents, interacting in the mini-world covered by a temporal database. At each stage, their goals are inferred from the current situation, with the help of rules designed to model their behavioural patterns, in turn extracted from records of their past actions. Besides goal-inference rules, the simulation machinery adapts and combines plan-recognition and generation algorithms. The resulting environment is highly interactive, allowing the user to interfere in various ways. A prototype tool (IPG), implemented in Prolog augmented with constraint programming features, was developed and is being used to run experiments.Sociedade Brasileira de Computação1999-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65001999000300004Journal of the Brazilian Computer Society v.6 n.2 1999reponame:Journal of the Brazilian Computer Societyinstname:Sociedade Brasileira de Computação (SBC)instacron:UFRGS10.1590/S0104-65001999000300004info:eu-repo/semantics/openAccessCiarlini,Angelo E. M.Furtado,Antonio L.eng2000-07-31T00:00:00Zoai:scielo:S0104-65001999000300004Revistahttps://journal-bcs.springeropen.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpjbcs@icmc.sc.usp.br1678-48040104-6500opendoar:2000-07-31T00:00Journal of the Brazilian Computer Society - Sociedade Brasileira de Computação (SBC)false
dc.title.none.fl_str_mv Interactive multistage simulation of goal-driven agents
title Interactive multistage simulation of goal-driven agents
spellingShingle Interactive multistage simulation of goal-driven agents
Ciarlini,Angelo E. M.
Databases
Temporal Reasoning
Planning
Simulation
Decision Support
title_short Interactive multistage simulation of goal-driven agents
title_full Interactive multistage simulation of goal-driven agents
title_fullStr Interactive multistage simulation of goal-driven agents
title_full_unstemmed Interactive multistage simulation of goal-driven agents
title_sort Interactive multistage simulation of goal-driven agents
author Ciarlini,Angelo E. M.
author_facet Ciarlini,Angelo E. M.
Furtado,Antonio L.
author_role author
author2 Furtado,Antonio L.
author2_role author
dc.contributor.author.fl_str_mv Ciarlini,Angelo E. M.
Furtado,Antonio L.
dc.subject.por.fl_str_mv Databases
Temporal Reasoning
Planning
Simulation
Decision Support
topic Databases
Temporal Reasoning
Planning
Simulation
Decision Support
description Multistage simulation is employed to help predicting the future actions of collaborating or competing agents, interacting in the mini-world covered by a temporal database. At each stage, their goals are inferred from the current situation, with the help of rules designed to model their behavioural patterns, in turn extracted from records of their past actions. Besides goal-inference rules, the simulation machinery adapts and combines plan-recognition and generation algorithms. The resulting environment is highly interactive, allowing the user to interfere in various ways. A prototype tool (IPG), implemented in Prolog augmented with constraint programming features, was developed and is being used to run experiments.
publishDate 1999
dc.date.none.fl_str_mv 1999-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65001999000300004
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65001999000300004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0104-65001999000300004
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Computação
publisher.none.fl_str_mv Sociedade Brasileira de Computação
dc.source.none.fl_str_mv Journal of the Brazilian Computer Society v.6 n.2 1999
reponame:Journal of the Brazilian Computer Society
instname:Sociedade Brasileira de Computação (SBC)
instacron:UFRGS
instname_str Sociedade Brasileira de Computação (SBC)
instacron_str UFRGS
institution UFRGS
reponame_str Journal of the Brazilian Computer Society
collection Journal of the Brazilian Computer Society
repository.name.fl_str_mv Journal of the Brazilian Computer Society - Sociedade Brasileira de Computação (SBC)
repository.mail.fl_str_mv jbcs@icmc.sc.usp.br
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