Abstract. We present an overview on how to perform non-monotonic reasoning based on paraconsistent logics. In particular, we show that one can define a logic programming semantics based on the paraconsistent logic G’3 which is called G’3-stable semantics. This semantics defines a frame for performing non-monotonic reasoning in domains which are pervaded with vagueness and inconsistencies. In fact, we show that, by considering also a possibilistic logic point of view, one can use this extended framework for defining a possibilistic logic programming approach able to deal with reasoning, which is at the same time non-monotonic and uncertain
Abstract. Many frameworks have been proposed to manage uncertain informa-tion in logic programming. ...
We present the proof theory and the model theory of a monotonic framework for default reasoning, and...
Our purpose is to exhibit a modular systematic method of representing nonmonotonic reasoning problem...
AbstractWe propose a framework which extends Antitonic Logic Programs [Damásio and Pereira, in: Proc...
In this work, we introduce a new framework able to deal with a reasoning that is at the same time no...
In this paper we present a logic programming-based language allowing for the combination of severa...
AbstractWe propose a framework which extends Antitonic Logic Programs [Damásio and Pereira, in: Proc...
Abstract. Uncertain information is present in many real applications e.g., medi-cal domain, weather ...
Possibilistic logic is a well-known logic for reasoning under uncertainty, which is based on the ide...
Abstract. We propose a paraconsistent declarative semantics of pos-sibly inconsistent generalized lo...
Possibilistic logic is a well-known logic for reasoning under uncertainty, which is based on the ide...
Abstract. Many frameworks of logic programming have been proposed to manage uncertain information in...
We introduce a fixpoint semantics for logic programs with two kinds of negation: an explicit negatio...
In the last decade defeasible argumentation frameworks have evolved to become a sound setting to for...
Possibilistic logic is a well-known logic for reasoning under uncertainty, which is based on the ide...
Abstract. Many frameworks have been proposed to manage uncertain informa-tion in logic programming. ...
We present the proof theory and the model theory of a monotonic framework for default reasoning, and...
Our purpose is to exhibit a modular systematic method of representing nonmonotonic reasoning problem...
AbstractWe propose a framework which extends Antitonic Logic Programs [Damásio and Pereira, in: Proc...
In this work, we introduce a new framework able to deal with a reasoning that is at the same time no...
In this paper we present a logic programming-based language allowing for the combination of severa...
AbstractWe propose a framework which extends Antitonic Logic Programs [Damásio and Pereira, in: Proc...
Abstract. Uncertain information is present in many real applications e.g., medi-cal domain, weather ...
Possibilistic logic is a well-known logic for reasoning under uncertainty, which is based on the ide...
Abstract. We propose a paraconsistent declarative semantics of pos-sibly inconsistent generalized lo...
Possibilistic logic is a well-known logic for reasoning under uncertainty, which is based on the ide...
Abstract. Many frameworks of logic programming have been proposed to manage uncertain information in...
We introduce a fixpoint semantics for logic programs with two kinds of negation: an explicit negatio...
In the last decade defeasible argumentation frameworks have evolved to become a sound setting to for...
Possibilistic logic is a well-known logic for reasoning under uncertainty, which is based on the ide...
Abstract. Many frameworks have been proposed to manage uncertain informa-tion in logic programming. ...
We present the proof theory and the model theory of a monotonic framework for default reasoning, and...
Our purpose is to exhibit a modular systematic method of representing nonmonotonic reasoning problem...