ID: cs/0207087

Axiomatic Aspects of Default Inference

July 25, 2002

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Where Fail-Safe Default Logics Fail

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Paolo Liberatore
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Reiter's original definition of default logic allows for the application of a default that contradicts a previously applied one. We call failure this condition. The possibility of generating failures has been in the past considered as a semantical problem, and variants have been proposed to solve it. We show that it is instead a computational feature that is needed to encode some domains into default logic.

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A logic for reasoning with inconsistent knowledge -- A reformulation using nowadays terminology (2024)

November 15, 2024

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Nico Roos
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In many situations humans have to reason with inconsistent knowledge. These inconsistencies may occur due to not fully reliable sources of information. In order to reason with inconsistent knowledge, it is not possible to view a set of premisses as absolute truths as is done in predicate logic. Viewing the set of premisses as a set of assumptions, however, it is possible to deduce useful conclusions from an inconsistent set of premisses. In this paper a logic for reasoning wi...

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Rules, Belief Functions and Default Logic

March 27, 2013

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Nic Wilson
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This paper describes a natural framework for rules, based on belief functions, which includes a repre- sentation of numerical rules, default rules and rules allowing and rules not allowing contraposition. In particular it justifies the use of the Dempster-Shafer Theory for representing a particular class of rules, Belief calculated being a lower probability given certain independence assumptions on an underlying space. It shows how a belief function framework can be generalis...

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Probabilistic Default Reasoning with Conditional Constraints

March 8, 2000

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Thomas Lukasiewicz
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We propose a combination of probabilistic reasoning from conditional constraints with approaches to default reasoning from conditional knowledge bases. In detail, we generalize the notions of Pearl's entailment in system Z, Lehmann's lexicographic entailment, and Geffner's conditional entailment to conditional constraints. We give some examples that show that the new notions of z-, lexicographic, and conditional entailment have similar properties like their classical counterp...

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Implementing Default and Autoepistemic Logics via the Logic of GK

May 5, 2014

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Jianmin Ji, Hannes Strass
Artificial Intelligence
Logic in Computer Science

The logic of knowledge and justified assumptions, also known as logic of grounded knowledge (GK), was proposed by Lin and Shoham as a general logic for nonmonotonic reasoning. To date, it has been used to embed in it default logic (propositional case), autoepistemic logic, Turner's logic of universal causation, and general logic programming under stable model semantics. Besides showing the generality of GK as a logic for nonmonotonic reasoning, these embeddings shed light on ...

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The Probability of a Possibility: Adding Uncertainty to Default Rules

March 6, 2013

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Craig Boutilier
Artificial Intelligence

We present a semantics for adding uncertainty to conditional logics for default reasoning and belief revision. We are able to treat conditional sentences as statements of conditional probability, and express rules for revision such as "If A were believed, then B would be believed to degree p." This method of revision extends conditionalization by allowing meaningful revision by sentences whose probability is zero. This is achieved through the use of counterfactual probabiliti...

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Interpolation Theorems for Nonmonotonic Reasoning Systems

July 16, 2002

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Eyal Amir
Artificial Intelligence
Logic in Computer Science

Craig's interpolation theorem (Craig 1957) is an important theorem known for propositional logic and first-order logic. It says that if a logical formula $\beta$ logically follows from a formula $\alpha$, then there is a formula $\gamma$, including only symbols that appear in both $\alpha,\beta$, such that $\beta$ logically follows from $\gamma$ and $\gamma$ logically follows from $\alpha$. Such theorems are important and useful for understanding those logics in which they ho...

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Defining Relative Likelihood in Partially-Ordered Preferential Structures

July 27, 2014

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Joseph Y. Halpern
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Starting with a likelihood or preference order on worlds, we extend it to a likelihood ordering on sets of worlds in a natural way, and examine the resulting logic. Lewis (1973) earlier considered such a notion of relative likelihood in the context of studying counterfactuals, but he assumed a total preference order on worlds. Complications arise when examining partial orders that are not present for total orders. There are subtleties involving the exact approach to lifting t...

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Reasoning about Evolving Nonmonotonic Knowledge Bases

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T. Eiter, M. Fink, ... , Tompits H.
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Recently, several approaches to updating knowledge bases modeled as extended logic programs have been introduced, ranging from basic methods to incorporate (sequences of) sets of rules into a logic program, to more elaborate methods which use an update policy for specifying how updates must be incorporated. In this paper, we introduce a framework for reasoning about evolving knowledge bases, which are represented as extended logic programs and maintained by an update policy. ...

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Default Logic and Bounded Treewidth

June 28, 2017

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Johannes K. Fichte, Markus Hecher, Irina Schindler
Artificial Intelligence
Computational Complexity
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In this paper, we study Reiter's propositional default logic when the treewidth of a certain graph representation (semi-primal graph) of the input theory is bounded. We establish a dynamic programming algorithm on tree decompositions that decides whether a theory has a consistent stable extension (Ext). Our algorithm can even be used to enumerate all generating defaults (ExtEnum) that lead to stable extensions. We show that our algorithm decides Ext in linear time in the in...

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