Knowledge Representation, Reasoning, and Declarative Problem Solving
Knowledge Representation, Reasoning, and Declarative Problem Solving
Artificial Intelligence - Special issue on logical formalizations and commonsense reasoning
The DLV system for knowledge representation and reasoning
ACM Transactions on Computational Logic (TOCL)
Ontology-based inference for causal explanation
Integrated Computer-Aided Engineering
Causes and explanations: a structural-model approach-part II: explanations
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
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We examine the practicality for a user of using Answer Set Programming (ASP) for representing logical formalisms. Our example is a formalism aiming at capturing causal explanations from causal information. We show the naturalness and relative efficiency of this translation job. We are interested in the ease for writing an ASP program. Limitations of the earlier systems made that in practice, the "declarative aspect" was more theoretical than practical. We show how recent improvements in working ASP systems facilitate the translation.