2017
IJCAI
IJCAI 2017
Evaluating Epistemic Negation in Answer Set Programming (Extended Abstract)
Abstract
Epistemic negation 'not' along with default negation 'neg' plays a key role in knowledge representation and nonmonotonic reasoning. However, the existing approaches behave not satisfactorily in that they suffer from the problems of unintended world views due to recursion through the epistemic modal operator K or M ( K F and M F are shorthands for (neg not F) and (not neg F), respectively). In this paper we present a general approach to epistemic negation which is free of unintended world views and thus offers a solution to the long-standing problem of epistemic specifications which were introduced by Gelfond 1991 over two decades ago.
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Keyword Pioneer
— epistemic negation
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Hot Topic Early Bird
— knowledge representation
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics