Handbook of Knowledge Representation Edited Belief Revision Pavlos Peppas 8.1 Introduction
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[1] Dov M. Gabbay,et al. Handbook of defeasible reasoning and uncertainty management systems: volume 2: reasoning with actual and potential contradictions , 1998 .
[2] Hans Rott,et al. Two methods of constructing contractions and revisions of knowledge systems , 1991, J. Philos. Log..
[3] Ken Satoh. Nonmonotonic Reasoning by Minimal Belief Revision , 1988, FGCS.
[4] David Makinson,et al. On the status of the postulate of recovery in the logic of theory change , 1987, J. Philos. Log..
[5] David Makinson,et al. Five faces of minimality , 1993, Stud Logica.
[6] Didier Dubois,et al. Epistemic Entrenchment and Possibilistic Logic , 1991, Artif. Intell..
[7] Pavlos Peppas,et al. On the Use of Epistemic Entrenchment in Reasoning about Action , 1992, ECAI.
[8] Norman Y. Foo,et al. Updates with Disjunctive Information: From Syntactical and Semantical Perspectives , 2000, Comput. Intell..
[9] Moisés Goldszmidt,et al. Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions , 1992, KR.
[10] Gerhard Brewka,et al. Belief revision in a framework for default reasoning , 1989, The Logic of Theory Change.
[11] Maurice Pagnucco,et al. Severe Withdrawal (and Recovery) , 1999, J. Philos. Log..
[12] Mariano Méndez. Belief revision by sets of sentences , 1996 .
[13] Maurice Pagnucco,et al. Gricean Belief Change , 2005, Stud Logica.
[14] Mukesh Dalal,et al. Investigations into a Theory of Knowledge Base Revision , 1988, AAAI.
[15] André Fuhrmann,et al. A survey of multiple contractions , 1994, J. Log. Lang. Inf..
[16] Patrick Brézillon,et al. Lecture Notes in Artificial Intelligence , 1999 .
[17] C. E. Alchourrón,et al. On the logic of theory change: Partial meet contraction and revision functions , 1985 .
[18] Chen C. Chang,et al. Model Theory: Third Edition (Dover Books On Mathematics) By C.C. Chang;H. Jerome Keisler;Mathematics , 1966 .
[19] Karl Schlechta,et al. Distance semantics for belief revision , 1996, Journal of Symbolic Logic.
[20] Aditya K. Ghose,et al. A Framework for Reasoning about Requirements Evolution , 1996, PRICAI.
[21] Norman Y. Foo,et al. Distance Semantics for Relevance-Sensitive Belief Revision , 2004, KR.
[22] Sébastien Konieczny,et al. Merging with Integrity Constraints , 1999, ESCQARU.
[23] Hirofumi Katsuno,et al. On the Difference between Updating a Knowledge Base and Revising It , 1991, KR.
[24] Pierre-Yves Schobbens,et al. Counterfactuals and Updates as Inverse Modalities , 1996, J. Log. Lang. Inf..
[25] Craig Boutilier,et al. Revision Sequences and Nested Conditionals , 1993, IJCAI.
[26] Didier Dubois,et al. A Practical Approach to Revising Prioritized Knowledge Bases , 1999, 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410).
[27] Maurice Pagnucco,et al. Dynamic belief revision operators , 2003, Artif. Intell..
[28] André Fuhrmann,et al. Theory contraction through base contraction , 1991, J. Philos. Log..
[29] Daniel Lehmann,et al. Belief Revision and Rational Inference , 2002, ArXiv.
[30] Craig Boutilier,et al. Generalized Update: Belief Change in Dynamic Settings , 1995, IJCAI.
[31] Dongmo Zhang. Properties of Iterated Multiple Belief Revision , 2004, LPNMR.
[32] Marianne Winslett,et al. Reasoning about Action Using a Possible Models Approach , 1988, AAAI.
[33] Thomas Andreas Meyer,et al. Non-Prioritized Ranked Belief Change , 2001, J. Philos. Log..
[34] Peter Gärdenfors,et al. Nonmonotonic Inference Based on Expectations , 1994, Artif. Intell..
[35] Grigoris Antoniou,et al. On Generalizing the AGM Postulates , 2006, STAIRS.
[36] Randy Goebel,et al. Belief States as Default Theories: Studies in Non-Prioritized Belief Change , 1998, ECAI.
[37] Richard Booth,et al. Admissible and Restrained Revision , 2006, J. Artif. Intell. Res..
[38] Pavlos Peppas. Well Behaved and Multiple Belief Revision , 1996, ECAI.
[39] Raymond Y. K. Lau. Context-sensitive text mining and belief revision for intelligent information retrieval on the web , 2003, Web Intell. Agent Syst..
[40] Pierre-Yves Schobbens,et al. Intertranslating Counterfactuals and Updates , 1996, ECAI.
[41] Mary-Anne Williams,et al. Iterated Theory Base Change: A Computational Model , 1995, IJCAI.
[42] Hans Rott. Belief Contraction in the Context for the General Theory of Rational Choice , 1993, J. Symb. Log..
[43] Hector J. Levesque,et al. Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning , 1991 .
[44] Andreas Herzig,et al. The PMA Revisited , 1996, KR.
[45] Sven Ove Hansson,et al. A survey of multiple contraction , 1994 .
[46] Renata Wassermann. Resource Bounded Belief Revision , 1999 .
[47] Peter Gärdenfors,et al. Knowledge in Flux , 1988 .
[48] Eduardo L. Fermé,et al. Revision by comparison , 2004, Artif. Intell..
[49] W. Salmon,et al. Knowledge in Flux , 1991 .
[50] Michael Thielscher,et al. Iterated Belief Revision, Revised , 2005, IJCAI.
[51] Sven Ove Hansson,et al. A Textbook Of Belief Dynamics , 1999 .
[52] Alvaro del Val. On the Relation between the Coherence and Foundations Theories of Belief Revision , 1994, AAAI.
[53] Bernhard Nebel,et al. How Hard is it to Revise a Belief Base , 1996 .
[54] Joseph Y. Halpern,et al. Conditional Logics of Belief Change , 1994, AAAI.
[55] André Fuhrmann,et al. Change, Choice and Inference , 2003 .
[56] Mary-Anne Williams,et al. Transmutations of Knowledge Systems , 1994, KR.
[57] Marco Schaerf,et al. Arbitration (or How to Merge Knowledge Bases) , 1998, IEEE Trans. Knowl. Data Eng..
[58] Souhila Kaci,et al. Weakening conflicting information for iterated revision and knowledge integration , 2001, Artificial Intelligence.
[59] Gösta Grahne,et al. Updates and Counterfactuals , 1998, J. Log. Comput..
[60] Bernhard Nebel,et al. Base Revision Operations and Schemes: Semantics, Representation and Complexity , 1994, ECAI.
[61] Sven Ove Hansson,et al. A textbook of belief dynamics - theory change and database updating , 1999, Applied logic series.
[62] Daniel Lehmann,et al. Belief Revision, Revised , 1995, IJCAI.
[63] R. Parikh. Beliefs, belief revision, and splitting languages , 1999 .
[64] Dongmo Zhang. Belief revision by sets of sentences , 2008, Journal of Computer Science and Technology.
[65] Peter Z. Revesz. On the semantics of theory change: arbitration between old and new information , 1993, PODS '93.
[66] Adam J. Grove,et al. Two modellings for theory change , 1988, J. Philos. Log..
[67] Yoav Shoham,et al. Deriving properties of belief update from theories of action , 1992, IJCAI.
[68] Peter Gärdenfors,et al. Revisions of Knowledge Systems Using Epistemic Entrenchment , 1988, TARK.
[69] Abhaya C. Nayak. Foundational belief change , 1994, J. Philos. Log..
[70] Pavlos Peppas. The Limit Assumption and Multiple Revision , 2004, J. Log. Comput..
[71] H. Kyburg. Iterated Belief Change Based on Epistemic Entrenchment* , 1994 .
[72] William Harper,et al. Causation in decision, belief change, and statistics , 1988 .
[73] Aaron Hunter,et al. An Action Description Language for Iterated Belief Change , 2007, IJCAI.
[74] David Makinson,et al. Bridges from classical to nonmonotonic logic , 2005, Texts in computing.
[75] Norman Y. Foo,et al. Revision vs. Update: Taking a Closer Look , 1996, ECAI.
[76] Aaron Hunter,et al. Iterated Belief Change: A Transition System Approach , 2005, IJCAI.
[77] Georg Gottlob,et al. On the complexity of propositional knowledge base revision, updates, and counterfactuals , 1992, Artif. Intell..
[78] Moshe Y. Vardi. Conference on Theoretical Aspects of Reasoning about Knowledge , 1990 .
[79] Sébastien Konieczny,et al. DA2 merging operators , 2004, Artif. Intell..
[80] Dongmo Zhang,et al. Nonmonotonic Reasoning and Multiple Belief Revision , 1997, IJCAI.
[81] Craig Boutilier,et al. Iterated revision and minimal change of conditional beliefs , 1996, J. Philos. Log..
[82] Dimitris Christodoulakis,et al. Early Estimation of Users’ Perception of Software Quality , 2005, Software Quality Journal.
[83] Peter Gärdenfors,et al. Epistemic importance and minimal changes of belief , 1984 .
[84] Torsten Schaub,et al. A consistency-based approach for belief change , 2003, Artif. Intell..
[85] Andreas Weber,et al. Updating Propositional Formulas , 1986, Expert Database Conf..
[86] John Cantwell,et al. Credibility limited revision , 2001, Journal of Symbolic Logic.
[87] Peter Gärdenfors,et al. Belief Revision , 1995 .
[88] Norman Y. Foo,et al. Measuring similarity in belief revision , 2000, J. Log. Comput..
[89] Maurice Pagnucco,et al. The Role of Abductive Reasoning within the Process of Belief Revision , 1996 .
[90] S. Hansson. A Survey of non-Prioritized Belief Revision , 1999 .
[91] Andreas Herzig,et al. Conditionals: from philosophy to computer science , 1996 .
[92] Donald Nute,et al. Counterfactuals , 1975, Notre Dame J. Formal Log..
[93] Norman Y. Foo,et al. Infinitary Belief Revision , 2001, J. Philos. Log..
[94] Mary-Anne Williams,et al. On the Logic of Theory Base Change , 1994, JELIA.
[95] Sten Lindström,et al. A semantic approach to nonmonotonic reasoning: Inference operations and choice , 2022, Theoria.
[96] Sten Lindström,et al. The Ramsey test revisited , 1996 .
[97] K. Schlechta. Non-prioritized belief revision based on distances between models , 2008 .
[98] Sarit Kraus,et al. Combining Multiple Knowledge Bases , 1991, IEEE Trans. Knowl. Data Eng..
[99] D. Dubois,et al. Belief Revision: Belief change and possibility theory , 1992 .
[100] Didier Dubois,et al. Iterated Revision as Prioritized Merging , 2006, KR.
[101] John Mylopoulos,et al. Proceedings of the 10th International Conference on Principles of Knowledge Representation and Reasoning , 2006 .
[102] Mary-Anne Williams,et al. Constructive Modelings for Theory Change , 1995, Notre Dame J. Formal Log..
[103] Judea Pearl,et al. On the Logic of Iterated Belief Revision , 1994, Artif. Intell..
[104] Mary-Anne Williams,et al. SATEN: An Object-Oriented Web-Based Revision and Extraction Engine , 2000, ArXiv.
[105] Mary-Anne Williams,et al. Applications of Belief Revision , 1996, Transactions and Change in Logic Databases.
[106] Sven Ove Hansson. Kernel Contraction , 1994, J. Symb. Log..
[107] Laura Giordano,et al. Weak AGM postulates and strong Ramsey Test: A logical formalization , 2005, Artif. Intell..
[108] Raymond Y. K. Lau. Belief Revision for Adaptive Recommender Agents in E-commerce , 2003, IDEAL.
[109] Hans Rott. Conditionals and theory change: Revisions, expansions, and additions , 2004, Synthese.
[110] Sébastien Konieczny,et al. A framework for iterated revision , 2000, J. Appl. Non Class. Logics.
[111] Wolfgang Spohn,et al. Ordinal Conditional Functions: A Dynamic Theory of Epistemic States , 1988 .
[112] Hirofumi Katsuno,et al. Propositional Knowledge Base Revision and Minimal Change , 1991, Artif. Intell..
[113] David Makinson,et al. On the logic of theory change: Safe contraction , 1985, Stud Logica.
[114] P. Gärdenfors. Belief Revisions and the Ramsey Test for Conditionals , 1986 .
[115] Thomas Andreas Meyer,et al. Systematic Withdrawal , 2002, J. Philos. Log..