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Coherence and Nonmonotonicity in Human Reasoning

Synthese, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Niki Pfeifer, Gernot D. Kleiter
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The Nature of Nonmonotonic Reasoning

Minds and Machines, 2000
Conclusions reached using common sense reasoning from a set of premises are often subsequently revised when additional premises are added. Because we do not always accept previous conclusions in light of subsequent information, common sense reasoning is said to be nonmonotonic.
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Logical foundations of nonmonotonic reasoning

Artificial Intelligence Review, 1991
In this paper we shall review the main approaches to nonmono- tonic reasoning which we classify from the perspective of their underlying logical settings as classical, intuitionistic, three-valuedlpartial models, and conditional. We shall be placing special emphasis on some of the promin- ent approaches.
Nadim Obeid, Raymond Turner
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Nonmonotonic reasoning as prioritized argumentation

IEEE Transactions on Knowledge and Data Engineering, 2001
This paper proposes a formalism for nonmonotonic reasoning based on prioritized argumentation. We argue that nonmonotonic reasoning in general can be viewed as selecting monotonic inferences by a simple notion of priority among inference rules. More importantly, these types of constrained inferences can be specified in a knowledge representation ...
Jia-Huai You   +2 more
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Nonmonotonic inheritance reasoning in classifiers

Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002
The authors investigate the significance of classifier systems with respect to nonmonotonic inheritance reasoning by constructing a simple classifier system. The experiments show that classifier systems can perform useful inheritance reasoning and may be a viable alternative to expert systems when dealing with potentially nonmonotonic environments. >
Alex Young, Abdul Sattar 0001
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Some Strengths of Nonmonotonic Reasoning

2000
A characteristic feature of human reasoning is its ability to draw rational conclusions in situations where not all relevant information is known. In fact, except for the most trivial cases, we always reason with an incomplete body of knowledge describing the current situation we are arguing about. We are constantly forced to make assumptions which may
Uwe Egly, Hans Tompits
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Nonmonotonic reasoning and logic programming

Knowledge-Based Systems, 1990
Inference methods in knowledge-based systems are presented which are used for inferencing from incomplete information or in systems that model actions, i.e. systems that describe a time-varying world. In such cases, one is faced with nonmonotonic types of derivation when new information can lead to a revision of some statements accepted earlier.
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Strong Explanations for Nonmonotonic Reasoning

2019
The ability to generate explanations for inferences drawn from a knowledge base is of utmost importance for intelligent systems. A central notion in this context are minimal subsets of the knowledge base entailing a certain formula. Such subsets are often referred to as justifications, and their identification is called axiom pinpointing.As observed by
Gerhard Brewka, Markus Ulbricht 0001
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Nonmonotonic reasoning

Artificial Intelligence Review, 1990
Francesco M. Donini   +4 more
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Worlds of knowing and nonmonotonic reasoning

IEEE Transactions on Systems, Man, and Cybernetics, 1989
The project of formalizing nonmonotonic reasoning on the basis of historical and contemporary philosophical reflections on reasoning and knowing is examined. Some paradigmatic accounts of the prospects of formalizing reasoning, from the ancient beginnings of western epistemology up to contemporary debate about the reasonableness of scientific ...
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