Non prioritized reasoning in intelligent agents

The design of intelligent agents is greatly influenced by the many different models that exist to represent knowledge. It is essential that such agents have computationally adequate mechanisms to manage its knowledge, which more often than not is incomplete and/or inconsistent. It is also important...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Falappa, Marcelo Alejandro, Simari, Guillermo Ricardo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2003
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/21439
Aporte de:
id I19-R120-10915-21439
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Prioritized Reasoning
Intelligent agents
spellingShingle Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Prioritized Reasoning
Intelligent agents
Falappa, Marcelo Alejandro
Simari, Guillermo Ricardo
Non prioritized reasoning in intelligent agents
topic_facet Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Prioritized Reasoning
Intelligent agents
description The design of intelligent agents is greatly influenced by the many different models that exist to represent knowledge. It is essential that such agents have computationally adequate mechanisms to manage its knowledge, which more often than not is incomplete and/or inconsistent. It is also important for an agent to be able to obtain new conclusions that allow it to reason about the state of the world in which it is embedded. It has been proven that this problem cannot be solved within the realm of Classic Logic. This situation has triggered the development of a series of logical formalisms that extend the classic ones. These proposals often carry the names of Nonmonotonic Reasoning, or Defeasible Reasoning. Some examples of such models are McDermott and Doyle’s Nonmonotonic Logics, Reiter’s Default Logic, Moore’s Autoepistemic Logic, McCarthy’s Circumscription Model, and Belief Revision (also called Belief Change). This last formalism was introduced by G¨ardenfors and later extended by Alchourrón, G¨ardenfors, and Makinson [1, 4]
format Objeto de conferencia
Objeto de conferencia
author Falappa, Marcelo Alejandro
Simari, Guillermo Ricardo
author_facet Falappa, Marcelo Alejandro
Simari, Guillermo Ricardo
author_sort Falappa, Marcelo Alejandro
title Non prioritized reasoning in intelligent agents
title_short Non prioritized reasoning in intelligent agents
title_full Non prioritized reasoning in intelligent agents
title_fullStr Non prioritized reasoning in intelligent agents
title_full_unstemmed Non prioritized reasoning in intelligent agents
title_sort non prioritized reasoning in intelligent agents
publishDate 2003
url http://sedici.unlp.edu.ar/handle/10915/21439
work_keys_str_mv AT falappamarceloalejandro nonprioritizedreasoninginintelligentagents
AT simariguillermoricardo nonprioritizedreasoninginintelligentagents
bdutipo_str Repositorios
_version_ 1764820464535863298