INVESTIGADORES
CHESÑEVAR Carlos Ivan
artículos
Título:
On the Construction of Dialectical Databases
Autor/es:
MARCELA CAPOBIANCO; CARLOS CHESÑEVAR; GUILLERMO SIMARI,
Revista:
INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE
Editorial:
AEPIA
Referencias:
Lugar: Madrid; Año: 2007 p. 89 - 100
ISSN:
1137-3601
Resumen:
Argumentation systems have substantially evolved in the past few years,resulting in adequate tools to model some forms of common sense reasoning.This has sprung a new set of argument-based applications in diverse areas. In previous work,we defined how to use precompiled knowledge to obtain significant speed-ups in the inference process of an argument-based system.This development is based on a logic programming system with an argumentation-driven inference engine, called Observation Based Defeasible Logic Programming (ODeLP).In this setting was first presented the concept ofemph{dialectical databases}, that is, data structuresfor storing precompiled knowledge.These structures provide precompiled information about inferencesand can be used to speed up the inference process,as ms do in general problem solvers. In this work, we present detailed algorithms for the creationof dialectical databases in ODeLP andanalyze these algorithms in terms of theircomputational complexity.
