Belief revision in Horn theories

This paper investigates belief revision where the underlying logic is that governing Horn clauses. We show that classical (AGM) belief revision doesn’t immediately generalise to the Horn case. In particular, a standard construction based on a total preorder over possible worlds may violate the accepted (AGM) postulates. Conversely, in the obvious extension to the AGM approach, Horn revision functions are not captured by total preorders over possible worlds. We address these difficulties by introducing two modifications to the AGM approach. First, the semantic construction is restricted to “well behaved” orderings, what we call Horn compliant orderings. Second, the revision postulates are augmented by an additional postulate. Both restrictions are redundant in the AGM approach, but not in the Horn case. In a representation result we show that the class of revision functions captured by Horn compliant total preorders over possible worlds is precisely that given by the (extended) set of Horn revision postulates. Further, we show that Horn revision is compatible with work in iterated revision and work concerning relevance in revision. We also consider specific revision operators. Arguably this work is interesting for several reasons. It extends AGM revision to inferentially-weaker Horn theories; hence it sheds light on the theoretical underpinnings of belief change, as well as generalising the AGM paradigm. Thus, this work is relevant to revision in areas that employ Horn clauses, such as deductive databases and logic programming, as well as areas in which inference is weaker than classical logic, such as in description logic.

[1]  Jean H. Gallier,et al.  Linear-Time Algorithms for Testing the Satisfiability of Propositional Horn Formulae , 1984, J. Log. Program..

[2]  Wlodzimierz Rabinowicz,et al.  Epistemic entrenchment with incomparabilities and relational belief revision , 1989, The Logic of Theory Change.

[3]  Craig Boutilier,et al.  Iterated revision and minimal change of conditional beliefs , 1996, J. Philos. Log..

[4]  James P. Delgrande,et al.  Horn Clause Belief Change: Contraction Functions , 2008, KR.

[5]  James P. Delgrande,et al.  Horn Clause Contraction Functions , 2013, J. Artif. Intell. Res..

[6]  Mukesh Dalal,et al.  Investigations into a Theory of Knowledge Base Revision , 1988, AAAI.

[7]  Craig Boutilier,et al.  Revision Sequences and Nested Conditionals , 1993, IJCAI.

[8]  Adam J. Grove,et al.  Two modellings for theory change , 1988, J. Philos. Log..

[9]  R. Parikh Beliefs, belief revision, and splitting languages , 1999 .

[10]  Balázs Szörényi,et al.  Horn Complements: Towards Horn-to-Horn Belief Revision , 2008, AAAI.

[11]  Bart Selman,et al.  Knowledge compilation and theory approximation , 1996, JACM.

[12]  Georg Gottlob,et al.  On the complexity of propositional knowledge base revision, updates, and counterfactuals , 1992, Artif. Intell..

[13]  Maurice Pagnucco,et al.  Transitively Relational Partial Meet Horn Contraction , 2011, IJCAI.

[14]  Maurice Pagnucco,et al.  Model Based Horn Contraction , 2012, KR.

[15]  Yan Zhang,et al.  Definability of Horn Revision from Horn Contraction , 2013, IJCAI.

[16]  James P. Delgrande,et al.  Horn Clause Contraction Functions: Belief Set and Belief Base Approaches , 2010, KR.

[17]  Hirofumi Katsuno,et al.  Propositional Knowledge Base Revision and Minimal Change , 1991, Artif. Intell..

[18]  Norman Y. Foo,et al.  Distance Semantics for Relevance-Sensitive Belief Revision , 2004, KR.

[19]  Guilin Qi,et al.  A Survey of Revision Approaches in Description Logics , 2008, Description Logics.

[20]  Pavlos Peppas,et al.  Conflicts between Relevance-Sensitive and Iterated Belief Revision , 2008, ECAI.

[21]  James P. Delgrande,et al.  Revising Horn Theories , 2011, IJCAI.

[22]  P G rdenfors,et al.  Knowledge in flux: modeling the dynamics of epistemic states , 1988 .

[23]  Ken Satoh Nonmonotonic Reasoning by Minimal Belief Revision , 1988, FGCS.

[24]  Paolo Liberatore Compilability and compact representations of revision of Horn knowledge bases , 2000, TOCL.

[25]  Maurice Pagnucco,et al.  Horn Contraction via Epistemic Entrenchment , 2010, JELIA.

[26]  Richard Booth,et al.  On the Link between Partial Meet, Kernel, and Infra Contraction and its Application to Horn Logic , 2011, J. Artif. Intell. Res..

[27]  Richard Booth,et al.  Next Steps in Propositional Horn Contraction , 2009, IJCAI.

[28]  Peter Gärdenfors,et al.  Belief Revision , 1995 .

[29]  Peter Gärdenfors,et al.  On the logic of theory change: Partial meet contraction and revision functions , 1985, Journal of Symbolic Logic.

[30]  Grigoris Antoniou,et al.  Generalizing the AGM postulates: preliminary results and applications , 2004, NMR.

[31]  Eduardo L. Fermé,et al.  Belief Revision , 2007, Inteligencia Artif..

[32]  Judea Pearl,et al.  On the Logic of Iterated Belief Revision , 1994, Artif. Intell..

[33]  Stefan Woltran,et al.  Belief revision within fragments of propositional logic , 2012, J. Comput. Syst. Sci..