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[PDF][PDF] Semi-stable semantics
In this paper, we examine an argument-based semantics called semi-stable semantics.
Semi-stable semantics is quite close to traditional stable semantics in the sense that every …
Semi-stable semantics is quite close to traditional stable semantics in the sense that every …
Semi-stable semantics
In this article, we examine an argument-based semantics called semi-stable semantics.
Semi-stable semantics is quite close to traditional stable semantics in the sense that every …
Semi-stable semantics is quite close to traditional stable semantics in the sense that every …
Ideal paraconsistent logics
We define in precise terms the basic properties that an 'ideal propositional paraconsistent
logic'is expected to have, and investigate the relations between them. This leads to a precise …
logic'is expected to have, and investigate the relations between them. This leads to a precise …
Co** with incomplete data: Recent advances
Handling incomplete data in a correct manner is a notoriously hard problem in databases.
Theoretical approaches rely on the computationally hard notion of certain answers, while …
Theoretical approaches rely on the computationally hard notion of certain answers, while …
[HTML][HTML] Belief functions on distributive lattices
C Zhou - Artificial Intelligence, 2013 - Elsevier
Abstract The Dempster–Shafer theory of belief functions is an important approach to deal
with uncertainty in AI. In the theory, belief functions are defined on Boolean algebras of …
with uncertainty in AI. In the theory, belief functions are defined on Boolean algebras of …
Propositional and predicate logics of incomplete information
One of the most common scenarios of handling incomplete information occurs in relational
databases. They describe incomplete knowledge with three truth values, using Kleene's …
databases. They describe incomplete knowledge with three truth values, using Kleene's …
On the methodology of paraconsistent logic
The present note contains a critical discussion of the methodology of paraconsistent logic in
general and “the central optimisation problem of paraconsistent logics” in particular. It is …
general and “the central optimisation problem of paraconsistent logics” in particular. It is …
R-Mingle is nice, and so is Arnon Avron
Abstract Arnon Avron has written:“Dunn-McCall logic RM is by far the best understood and
the most well-behaved in the family of logics developed by the school of Anderson and …
the most well-behaved in the family of logics developed by the school of Anderson and …
[HTML][HTML] Inconsistency-tolerant reasoning over linear probabilistic knowledge bases
We consider the problem of reasoning under uncertainty in the presence of inconsistencies.
Our knowledge bases consist of linear probabilistic constraints that, in particular, generalize …
Our knowledge bases consist of linear probabilistic constraints that, in particular, generalize …
[PDF][PDF] Solving reasoning problems for probabilistic conditional logics with consistent and inconsistent information
N Potyka - 2016 - ub-deposit.fernuni-hagen.de
Classical logic can be regarded as the study of drawing deductive conclusions from
consistent assumptions. However, the classical truth values true and false are often …
consistent assumptions. However, the classical truth values true and false are often …