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Commonsense Reasoning: An Event Calculus Based ApproachNovember 2014
Publisher:
  • Morgan Kaufmann Publishers Inc.
  • 340 Pine Street, Sixth Floor
  • San Francisco
  • CA
  • United States
ISBN:978-0-12-801647-3
Published:11 November 2014
Pages:
516
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Abstract

To endow computers with common sense is one of the major long-term goals of artificial intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning: An Event Calculus Based Approach is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions that span many areas of the commonsense world. The Second Edition features new chapters on commonsense reasoning using unstructured information including the Watson system, commonsense reasoning using answer set programming, and techniques for acquisition of commonsense knowledge including crowdsourcing. Drawing upon years of practical experience and using numerous examples and illustrative applications Erik Mueller shows you the keys to mastering commonsense reasoning. You ll be able to: Understand techniques for automated commonsense reasoning Incorporate commonsense reasoning into software solutions Acquire a broad understanding of the field of commonsense reasoning. Gain comprehensive knowledge of the human capacity for commonsense reasoning Table of Contents Part I: Foundations Part II: Commonsense Phenomena Part III: Commonsense Domains Part IV: Default Reasoning Part V: Programs and Applications Part VI: Logical and Non-logical Methods Part VII: Knowledge Acquisition Part VIII: Conclusion Part IX: Appendices

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