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Poole, D. 1988. A logical framework for default reasoning. Artificial Intelligence 36:27--47.

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Representing Meta-Knowledge in Poole-Systems - Gerhard Brewka Institut (2001)   Self-citation (Poole)   (Correct)

....do this by using a two place relation symbol with standard meaning in the language. Finally, we need a method for defining the nonmonotonic conclusions of a given set of premises which takes the preference information into account adequately. The formalism we use in this paper are Poole systems [13]. The reason is that these systems are very simple, yet powerful, especially when they are equipped with our techniques. The outline of the paper is as follows. In Sect. 0.2 we introduce our proposed generalization of Poole systems. It turns out that with our metareasoning techniques some default ....

....a new definition of consequence based on the least fixed point of a monotone operator. Sect. 0.4 applies our formalism to several problems in commonsense reasoning. Sect. 0.5 discusses related work and concludes. 0. 2 Extending Poole systems Our formalism extends the well known Poole systems [13]. A Poole system (F; D) is a pair consisting of 1. a consistent set of (first order) formulas F , the facts, and 2. a possibly inconsistent set of formulas D, the defaults. A set of formulas E is an extension of a Poole system (F; D) iff E = Th(F [ D ) where D is a maximal F consistent ....

Poole, D., A Logical Framework for Default Reasoning, Artificial Intelligence 36, 1988


Two Paradigms of Nonmonotonic Reasoning - Alexander Bochman Computer   (Correct)

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Poole, D. 1988. A logical framework for default reasoning. Artificial Intelligence 36:27--47.


The Dynamics of Default Reasoning - Van Linder Van (1995)   (Correct)

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D. Poole. A logical framework for default reasoning. Arti cial Intelligence, 36:27-47, 1988.


Making Argument Systems Computationally Attractive -.. - Garcia, Chesnevar.. (1993)   (Correct)

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Poole,D.L., 1988, A logical framework for default reasoning, in Articial Intelligence 36, pp. 27-47.


Abduction with Hypotheses Confirmation - Alberti, Gavanelli, Lamma, Mello, .. (2004)   (Correct)

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Poole, D.L.: A logical framework for default reasoning. Artificial Intelligence 36 (1988) 27--47


Modeling Interactions Using Social Integrity.. - Alberti.. (2004)   (Correct)

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D. L. Poole. A logical framework for default reasoning. Artificial Intelligence, 36(1):27--47, 1988.


Abduction with Hypotheses Confirmation - Alberti, Gavanelli, Lamma, Mello, .. (2004)   (Correct)

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Poole, D.L.: A logical framework for default reasoning. Artificial Intelligence 36 (1988) 27--47


On Computing Belief Change Operations Using Quantified.. - Delgrande, Schaub, al.   (Correct)

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D. Poole. A logical framework for default reasoning. Artificial Intelligence, 36(1):27--48, 1988.


A Consistency-Based Approach for Belief Change - James Delgrande School (2003)   (Correct)

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D.L. Poole. A logical framework for default reasoning. Artificial Intelligence, 36(1):27--48, 1988.


How to Reason Credulously and Skeptically within a Single.. - Delgrande, Schaub   (Correct)

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POOLE D., "A Logical Framework for Default Reasoning", Artificial Intelligence, vol. 36, 1988, p. 27-47.


Open Default Theories over Closed - Domains Michael Kaminski   (Correct)

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D. Poole, A logical framework for default reasoning, Artificial Intelligence 36 (1988), 27--47.


A Compilation of Brewka and Eiter's Approach to.. - Delgrande, Schaub, Tompits (2000)   (1 citation)  (Correct)

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D. Poole. A logical framework for default reasoning. Artificial Intelligence, 36:27--47, 1988.


Enhancing Model Checking in Verification by AI Techniques - Buccafurri, Eiter.. (1999)   (2 citations)  (Correct)

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Poole D., A Logical Framework for Default Reasoning, Artificial Intelligence, 36:27--47, 1988.


Reasoning with Sets of Defaults in Default Logic - Delgrande, Schaub (2004)   (Correct)

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D.L. Poole. A logical framework for default reasoning. Artificial Intelligence, 36(1):27--48, 1988.


Preference Programming for Configuration - Junker (2001)   (13 citations)  (Correct)

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D. Poole. A logical framework for default reasoning. Artificial Intelligence, 36:27--47, 1988.


Expressing Preferences in Default Logic - Delgrande, Schaub (2002)   (4 citations)  (Correct)

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D. Poole. A logical framework for default reasoning. Artificial Intelligence, 36:27--47, 1988.


A Consistency-Based Approach for Belief Change - Delgrande, Schaub (2003)   (Correct)

No context found.

D.L. Poole. A logical framework for default reasoning. Artificial Intelligence, 36(1):27--48, 1988.


Open Default Theories over Closed Domains - Kaminski (1999)   (Correct)

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D. Poole, A logical framework for default reasoning, Arti cial Intelligence 36 (1988), 27-47.


The Implementation of a First-Order Logic AGM Belief Revision.. - Simon Dixon And (1993)   (6 citations)  (Correct)

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Poole, D. (1988) A Logical Framework for Default Reasoning, Artificial Intelligence, 36, pp. 27-47.


How to Reason Credulously and Skeptically within a Single.. - Delgrande, Schaub   (Correct)

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D. Poole. A logical framework for default reasoning. Artificial Intelligence, 36:27--47, 1988.


Ramification Analysis With Structured News Reports Using Temporal .. - Hunter (2001)   (Correct)

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D Poole. A logical framework for default reasoning. Artificial Intelligence, 36:27--47, 1988.


Argumentation-Theoretic Proof Procedures for Default Reasoning - Dung, Kowalski, Toni (2003)   (1 citation)  (Correct)

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D. Poole, A logical framework for default reasoning. Artificial Intelligence 36 (1988)


Hybrid Argumentation Systems for Structured News Reports - Hunter (2001)   (2 citations)  (Correct)

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D Poole. A logical framework for default reasoning. Artificial Intelligence, 36:27--47, 1988.


On the Computational Complexity of Assumption-based.. - Dimopoulos, Nebel (2002)   (Correct)

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David Poole. A logical framework for default reasoning. Arti cial Intelligence, 36:27-47, 1988.


What Is A Skeptical Proof? - Michael Thielscher Fg   (Correct)

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D. Poole. A Logical Framework for Default Reasoning. Artif. Intell., 36(1):27--47, 1988.

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