21 found
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James P. Delgrande [14]James Delgrande [7]
  1. An Approach to Default Reasoning Based on a First-Order Conditional Logic: Revised Report.James P. Delgrande - 1988 - Artificial Intelligence 36 (1):63-90.
  2.  1
    A First-Order Conditional Logic for Prototypical Properties.James P. Delgrande - 1987 - Artificial Intelligence 33 (1):105-130.
  3.  3
    The Logic of Qualitative Probability.James P. Delgrande, Bryan Renne & Joshua Sack - 2019 - Artificial Intelligence 275:457-486.
  4. A Consistency-Based Approach for Belief Change.James P. Delgrande & Torsten Schaub - 2003 - Artificial Intelligence 151 (1-2):1-41.
  5.  1
    Expressing Preferences in Default Logic.James P. Delgrande & Torsten Schaub - 2000 - Artificial Intelligence 123 (1-2):41-87.
  6. Alternative Approaches to Default Logic.James P. Delgrande, Torsten Schaub & W. Ken Jackson - 1994 - Artificial Intelligence 70 (1-2):167-237.
  7.  1
    On First-Order Conditional Logics.James P. Delgrande - 1998 - Artificial Intelligence 105 (1-2):105-137.
  8.  59
    A Formal Analysis of Relevance.James P. Delgrande & Francis Jeffry Pelletier - 1998 - Erkenntnis 49 (2):137-173.
    We investigate the notion of relevance as it pertains to ‘commonsense’, subjunctive conditionals. Relevance is taken here as a relation between a property (such as having a broken wing) and a conditional (such as birds typically fly). Specifically, we explore a notion of ‘causative’ relevance, distinct from ‘evidential’ relevance found, for example, in probabilistic approaches. A series of postulates characterising a minimal, parsimonious concept of relevance is developed. Along the way we argue that no purely logical account of relevance (even (...)
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  9.  12
    A Consistency-Based Framework for Merging Knowledge Bases.James P. Delgrande & Torsten Schaub - 2007 - Journal of Applied Logic 5 (3):459-477.
  10.  1
    Belief Revision in Horn Theories.James P. Delgrande & Pavlos Peppas - 2015 - Artificial Intelligence 218:1-22.
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  11.  60
    Gricean Belief Change.James P. Delgrande, Abhaya C. Nayak & Maurice Pagnucco - 2005 - Studia Logica 79 (1):97-113.
    One of the standard principles of rationality guiding traditional accounts of belief change is the principle of minimal change: a reasoner's belief corpus should be modified in a minimal fashion when assimilating new information. This rationality principle has stood belief change in good stead. However, it does not deal properly with all belief change scenarios. We introduce a novel account of belief change motivated by one of Grice's maxims of conversational implicature: the reasoner's belief corpus is modified in a minimal (...)
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  12.  46
    Reasoning Credulously and Skeptically Within a Single Extension.James P. Delgrande & Torsten Schaub - 2002 - Journal of Applied Non-Classical Logics 12 (2):259-285.
    Consistency-based approaches in nonmonotonic reasoning may be expected to yield multiple sets of default conclusions for a given default theory. Reasoning about such extensions is carried out at the meta-level. In this paper, we show how such reasoning may be carried out at the object level for a large class of default theories. Essentially we show how one can translate a default theory Δ, obtaining a second Δ', such that Δ has a single extension that encodes every extension of _. (...)
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  13.  55
    Guest Editors' Introduction.Giacomo Bonanno, James Delgrande & Hans Rott - 2012 - Journal of Philosophical Logic 41 (1):1-5.
    The contributions to the Special Issue on Multiple Belief Change, Iterated Belief Change and Preference Aggregation are divided into three parts. Four contributions are grouped under the heading "multiple belief change" (Part I, with authors M. Falappa, E. Fermé, G. Kern-Isberner, P. Peppas, M. Reis, and G. Simari), five contributions under the heading "iterated belief change" (Part II, with authors G. Bonanno, S.O. Hansson, A. Nayak, M. Orgun, R. Ramachandran, H. Rott, and E. Weydert). These papers do not only pick (...)
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  14. KR'16: Proceedings of the Fifteenth International Conference on Principles of Knowledge Representation and Reasoning.Chitta Baral, James Delgrande & Frank Wolter (eds.) - 2016
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  15. A Comparison of Point-Based Approaches to Qualitative Temporal Reasoning.James Delgrande, Arvind Gupta & Tim Van Allen - 2001 - Artificial Intelligence 131 (1-2):135-170.
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  16. Parallel Belief Revision: Revising by Sets of Formulas.James Delgrande & Yi Jin - 2012 - Artificial Intelligence 176 (1):2223-2245.
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  17.  12
    Special Issue on Formal Models of Belief Change in Rational Agents.Giacomo Bonanno, James Delgrande, Jérôme Lang & Hans Rott - 2009 - Journal of Applied Logic 7 (4):363.
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  18.  14
    An Epistemic Approach to Nondeterminism: Believing in the Simplest Course of Events.James P. Delgrande & Hector J. Levesque - 2019 - Studia Logica 107 (5):859-886.
    This paper describes an approach for reasoning in a dynamic domain with nondeterministic actions in which an agent’s beliefs correspond to the simplest, or most plausible, course of events consistent with the agent’s observations and beliefs. The account is based on an epistemic extension of the situation calculus, a first-order theory of reasoning about action that accommodates sensing actions. In particular, the account is based on a qualitative theory of nondeterminism. Our position is that for commonsense reasoning, the world is (...)
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  19.  20
    Guest Editors’ Introduction.James Delgrande & Jérôme Lang - 2015 - Journal of Philosophical Logic 44 (2):111-115.
    This special issue presents a selection of papers in Knowledge Representation in Artificial Intelligence , intended to illustrate the depth and breadth of current research in the area. It comes just over 25 years since a similar special issue of the Journal of Philosophical Logic appeared on the topic Philosophical Logic and Artificial Intelligence [15]. This latter special issue covered work addressing the use of logic, in one form or another, for representing and reasoning with knowledge. The papers of the (...)
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  20.  25
    Compositional Belief Update.James Delgrande & Francis Jeffry Pelletier - unknown
    In this paper we explore a class of belief update operators, in which the definition of the operator is compositional with respect to the sentence to be added. The goal is to provide an update operator that is intuitive, in that its definition is based on a recursive decomposition of the update sentence’s structure, and that may be reasonably implemented. In addressing update, we first provide a definition phrased in terms of the models of a knowledge base. While this operator (...)
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  21. Compiling Specificity Into Approaches to Nonmonotonic Reasoning.James P. Delgrande & Torsten H. Schaub - 1997 - Artificial Intelligence 90 (1-2):301-348.
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