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Default logic encounters some conceptual difficulties in representing common sense reasoning tasks. We argue that we should not try to formulate modular default rules that are presumed to work in all or most circumstances. We need to take…

人工智能 · 计算机科学 2013-02-08 Choh Man Teng

In many real-life settings, agents must navigate dynamic environments while reasoning under incomplete information and acting on a corpus of unstable, context-dependent, and often conflicting norms. We introduce a general, non-modal,…

计算机科学中的逻辑 · 计算机科学 2025-12-23 Mario Piazza , Andrea Sabatini

In inductive learning of a broad concept, an algorithm should be able to distinguish concept examples from exceptions and noisy data. An approach through recursively finding patterns in exceptions turns out to correspond to the problem of…

计算机科学中的逻辑 · 计算机科学 2017-07-11 Farhad Shakerin , Elmer Salazar , Gopal Gupta

Extensional higher-order logic programming has been introduced as a generalization of classical logic programming. An important characteristic of this paradigm is that it preserves all the well-known properties of traditional logic…

编程语言 · 计算机科学 2020-02-19 Angelos Charalambidis , Zoltán Ésik , Panos Rondogiannis

Often, we assume that an action is permitted simply because it is not explicitly forbidden; or, similarly, that an action is forbidden simply because it is not explicitly permitted. This kind of assumptions appear, e.g., in autonomous…

计算机科学中的逻辑 · 计算机科学 2019-07-23 Pablo F. Castro , Valentin Cassano , Raul Fervari , Carlos Areces

The paper proposes a new knowledge representation language, called DLP<, which extends disjunctive logic programming (with strong negation) by inheritance. The addition of inheritance enhances the knowledge modeling features of the language…

计算机科学中的逻辑 · 计算机科学 2008-02-21 Francesco Buccafurri , Wolfgang Faber , Nicola Leone

Non deterministic applications arise in many domains, including, stochastic optimization, multi-objectives optimization, stochastic planning, contingent stochastic planning, reinforcement learning, reinforcement learning in partially…

人工智能 · 计算机科学 2013-04-29 Emad Saad

Much work has been done on extending the well-founded semantics to general disjunctive logic programs and various approaches have been proposed. However, these semantics are different from each other and no consensus is reached about which…

人工智能 · 计算机科学 2007-05-23 Kewen Wang , Lizhu Zhou

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…

人工智能 · 计算机科学 2014-05-06 Jianmin Ji , Hannes Strass

We extend the $ASPIC^+$ framework for structured argumentation so as to allow applications of the reasoning by cases inference scheme for defeasible arguments. Given an argument with conclusion `$A$ or $B$', an argument based on $A$ with…

人工智能 · 计算机科学 2017-03-27 Mathieu Beirlaen , Jesse Heyninck , Christian Straßer

Two major difficulties in using default logics are their intractability and the problem of selecting among multiple extensions. We propose an approach to these problems based on integrating nommonotonic reasoning with plausible reasoning…

人工智能 · 计算机科学 2013-04-08 Piero P. Bonissone , David A. Cyrluk , James W. Goodwin , Jonathan Stillman

This paper analyses the declarative readings of logic programming. Logic programming - and negation as failure - has no unique declarative reading. One common view is that logic programming is a logic for default reasoning, a sub-formalism…

计算机科学中的逻辑 · 计算机科学 2007-05-23 Marc Denecker

Argumentation is a non-monotonic process. This reflects the fact that argumentation involves uncertain information, and so new information can cause a change in the conclusions drawn. However, the base logic does not need to be…

人工智能 · 计算机科学 2018-09-05 Anthony Hunter

Many writers have observed that default logics appear to contain the "lottery paradox" of probability theory. This arises when a default "proof by contradiction" lets us conclude that a typical X is not a Y where Y is an unusual subclass of…

人工智能 · 计算机科学 2013-04-08 Eric Neufeld , J. D. Horton

Default logic can be regarded as a mechanism to represent families of belief sets of a reasoning agent. As such, it is inherently second-order. In this paper, we study the problem of representability of a family of theories as the set of…

计算机科学中的逻辑 · 计算机科学 2007-05-23 Victor Marek , Jan Treur , Miroslaw Truszczynski

This paper develops a Reasoning about Actions and Change framework integrated with Default Reasoning, suitable as a Knowledge Representation and Reasoning framework for Story Comprehension. The proposed framework, which is guided strongly…

人工智能 · 计算机科学 2014-07-16 Irene-Anna Diakidoy , Antonis Kakas , Loizos Michael , Rob Miller

Argumentation has proved a useful tool in defining formal semantics for assumption-based reasoning by viewing a proof as a process in which proponents and opponents attack each others arguments by undercuts (attack to an argument's premise)…

计算机科学中的逻辑 · 计算机科学 2007-05-23 Ralf Schweimeier , Michael Schroeder

In Apt and Bezem [AB99] (see cs.LO/9811017) we provided a computational interpretation of first-order formulas over arbitrary interpretations. Here we complement this work by introducing a denotational semantics for first-order logic.…

编程语言 · 计算机科学 2007-05-23 Krzysztof R. Apt

In this paper we propose a framework for combining Disjunctive Logic Programming and Poole's Probabilistic Horn Abduction. We use the concept of hypothesis to specify the probability structure. We consider the case in which probabilistic…

人工智能 · 计算机科学 2013-02-18 Liem Ngo

We extend description logics (DLs) with non-monotonic reasoning features. We start by investigating a notion of defeasible subsumption in the spirit of defeasible conditionals as studied by Kraus, Lehmann and Magidor in the propositional…

人工智能 · 计算机科学 2019-04-17 Katarina Britz , Giovanni Casini , Thomas Meyer , Kody Moodley , Uli Sattler , Ivan Varzinczak
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