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  1. Annals of Mathematics and Artificial Intelligence
  2. Annals of Mathematics and Artificial Intelligence : Volume 47
  3. Annals of Mathematics and Artificial Intelligence : Volume 47, Issue 1-2, June 2006
  4. Conceptual logic programs
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Annals of Mathematics and Artificial Intelligence : Volume 47
Annals of Mathematics and Artificial Intelligence : Volume 47, Issue 3-4, August 2006
Annals of Mathematics and Artificial Intelligence : Volume 47, Issue 1-2, June 2006
Preface
Equilibrium logic
Strong order equivalence
A generalization of the Lin-Zhao theorem
Conceptual logic programs
Possibilistic uncertainty handling for answer set programming
Answer set based design of knowledge systems
Annals of Mathematics and Artificial Intelligence : Volume 46
Annals of Mathematics and Artificial Intelligence : Volume 45
Annals of Mathematics and Artificial Intelligence : Volume 44
Annals of Mathematics and Artificial Intelligence : Volume 43
Annals of Mathematics and Artificial Intelligence : Volume 42
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Annals of Mathematics and Artificial Intelligence : Volume 40
Annals of Mathematics and Artificial Intelligence : Volume 39
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Annals of Mathematics and Artificial Intelligence : Volume 33
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Conceptual logic programs

Content Provider Springer Nature Link
Author Heymans, Stijn Vermeir, Dirk Nieuwenborgh, Davy
Copyright Year 2006
Abstract Open answer set programming (OASP) solves the lack of modularity in closed world answer set programming by allowing for the grounding of logic programs with an arbitrary non-empty countable superset of the program’s constants. However, OASP is, in general, undecidable: the undecidable domino problem can be reduced to it. In order to regain decidability, we restrict the shape of logic programs, yielding conceptual logic programs (CoLPs). CoLPs are logic programs with unary and binary predicates (possibly inverted) where rules have a tree shape. Decidability of satisfiability checking of predicates w.r.t. CoLPs is shown by a reduction to non-emptiness checking of two-way alternating tree automata. We illustrate the expressiveness of CoLPs by simulating the description logic $\mathcal{SHIQ}$ . CoLPs thus integrate, in one unifying framework, the best of both the logic programming paradigm (a flexible rule-based representation and nonmonotonicity by means of negation as failure) and the description logics paradigm (decidable open domain reasoning).
Ending Page 137
Page Count 35
Starting Page 103
File Format PDF
ISSN 10122443
e-ISSN 15737470
Journal Annals of Mathematics and Artificial Intelligence
Issue Number 1-2
Volume Number 47
Language English
Publisher Kluwer Academic Publishers
Publisher Date 2006-09-13
Publisher Place Dordrecht
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword description logics Logic programming Logic in artificial intelligence Knowledge representation Computer Science Artificial Intelligence (incl. Robotics) Mathematics open domains answer set programming Complexity
Content Type Text
Resource Type Article
Subject Applied Mathematics Artificial Intelligence
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