Título | On Warranted Inference in Possibilistic Defeasible Logic Programming |

Publication Type | Book Chapter |

Year of Publication | 2005 |

Authors | Chesñevar C. [1], Simari G. [2], Godo L [3], Alsinet T [4] |

Editor | López B. [5], Meléndez J. [6], Radeva P. [7], Vitrià J. [8] |

Book Title | Artificial Intelligence Reseach and Development. Frontiers in Artificial Intelligence and Applications. |

Paginación | 265 - 272 |

Editorial | IOS Press |

Resumen | Possibilistic Defeasible Logic Programming (P-DeLP) is a logic programming language which combines features from argumentation theory and logic programming, incorporating as well the treatment of possibilistic uncertainty and fuzzy knowledge at object-language level. Defeasible argumentation in general and P-DeLP in particular provide a way of modelling non-monotonic inference. From a logical viewpoint, capturing defeasible inference relationships for modelling argument and warrant is particularly important, as well as the study of their logical properties. This paper analyzes two non-monotonic operators for P-DeLP which model the expansion of a given program program by adding new weighed facts associated with argument conclusions and warranted literals, resp. Different logical properties for the proposed expansion operators are studied and contrasted with a traditional SLD-based Horn logic. We will show that this analysis provides useful comparison criteria that can be extended and applied to other argumentation frameworks. |