logic programs with graded modality (LPGMs) combine ideas underlying graded modal logic and answer set programming. logicprogramming under answer set semantics is extended with a new graded modality M[lb:ub] where lb...
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asprin offers a framework for expressing and evaluating combinations of quantitative and qualitative preferences among the stable models of a logic program. In this paper, we demonstrate the generality and flexibility...
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Over the last years, Answer Set programming has significantly extended its range of applicability, and moved beyond solving static problems to dynamic ones, even in online environments. However, its nonmonotonic natur...
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Answer Set programming (ASP) is a powerful declarative programming paradigm that has been successfully applied to many different domains. Recently, ASP has also proved successful for hard optimization problems like co...
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We present a framework for conceptual blending – a concept invention method that is advocated in cognitive science as a fundamental, and uniquely human engine for creative thinking. Herein, we employ the search capab...
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Automated algorithm selection techniques have been applied successfully to Answer Set programming (ASP) solvers. ASP computation includes two levels of computation: variable substitution, called grounding, and proposi...
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Fuzzy Answer Set programming (FASP) is an extension of the popular Answer Set programming (ASP) paradigm which is tailored for continuous domains. Despite the existence of several prototype implementations, none of th...
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Acyclicity constraints are prevalent in knowledge representation and, in particular, applications where acyclic data structures such as DAGs and trees play a role. Recently, such constraints have been considered in th...
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Inductive logicprogramming (ILP) and Relational Data Mining (RDM) address the task of inducing models or patterns from multi-relational data. One of the established approaches to RDM is propositionalization, characte...
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In this paper we propose an extension of logicprogramming (LP) where each default literal derived from the well-founded model is associated a justification represented as an algebraic expression. this expression cont...
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