An argumentative formalism for implementing rational agents

The design of intelligent agents is a key issue for many applications. Although there is no universally accepted de nition of intelligence, a notion of rational agency has been proposed as an alternative for the characterization of intelligent agency. Modeling the epistemic state of a rational agen...

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Detalles Bibliográficos
Autores principales: Capobianco, Marcela, Chesñevar, Carlos Iván, Simari, Guillermo Ricardo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2001
Materias:
Ciencias Informáticas
knowledge representation
argumentation
rational agents
ARTIFICIAL INTELLIGENCE
Intelligent agents
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23396
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23396
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
knowledge representation
argumentation
rational agents
ARTIFICIAL INTELLIGENCE
Intelligent agents
spellingShingle Ciencias Informáticas
knowledge representation
argumentation
rational agents
ARTIFICIAL INTELLIGENCE
Intelligent agents
Capobianco, Marcela
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
An argumentative formalism for implementing rational agents
topic_facet Ciencias Informáticas
knowledge representation
argumentation
rational agents
ARTIFICIAL INTELLIGENCE
Intelligent agents
description The design of intelligent agents is a key issue for many applications. Although there is no universally accepted de nition of intelligence, a notion of rational agency has been proposed as an alternative for the characterization of intelligent agency. Modeling the epistemic state of a rational agent is one of the most di cult tasks to be addressed in the design process, and its complexity is directly related to the formalism used for representing the knowledge of the agent. This paper presents the main features of Observation-based Defeasible Logic Programming (ODeLP), a formalism tailored for agents that perform defeasible reasoning in dynamic domains. Most agents must have a timely interaction with their environment. Since the cognitive process of rational agents is complex and computationally expensive, this interaction is particularly hard to achieve. To solve this issue, we propose an optimization of the inference process in ODeLP based on the use of precompiled knowledge. This optimization can be e ciently implemented using concepts from pattern matching algorithms.
format Objeto de conferencia
Objeto de conferencia
author Capobianco, Marcela
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author_facet Capobianco, Marcela
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author_sort Capobianco, Marcela
title An argumentative formalism for implementing rational agents
title_short An argumentative formalism for implementing rational agents
title_full An argumentative formalism for implementing rational agents
title_fullStr An argumentative formalism for implementing rational agents
title_full_unstemmed An argumentative formalism for implementing rational agents
title_sort argumentative formalism for implementing rational agents
publishDate 2001
url http://sedici.unlp.edu.ar/handle/10915/23396
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