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Epistemic Situation Calculus Based on Granular Computing

A New Approach to Common-Sense Reasoning

Authors:

  1. Seiki Akama

    1. Kawasaki, Japan

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  2. Yotaro Nakayama

    1. Biprogy, Kōtō, Japan

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  3. Tetsuya Murai

    1. Chitose Institute of Science and Technology, Chitose, Japan

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  • Explores a new approach to common-sense reasoning
  • Uses epistemic situation calculus which integrates the ideas of situation calculus and epistemic logic
  • Formalizes common-sense reasoning in the context of granular computing based on rough set theory

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 239)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xi
    PDF

  2. Introduction

    • Seiki Akama, Yotaro Nakayama, Tetsuya Murai
    Pages 1-5

  3. Preliminaries

    • Seiki Akama, Yotaro Nakayama, Tetsuya Murai
    Pages 7-56

  4. Deduction Systems Based on Rough Sets

    • Seiki Akama, Yotaro Nakayama, Tetsuya Murai
    Pages 57-85

  5. Tableaux Calculi for Many-Valued Logics

    • Seiki Akama, Yotaro Nakayama, Tetsuya Murai
    Pages 87-110

  6. Granular Reasoning for the Epistemic Situation Calculus

    • Seiki Akama, Yotaro Nakayama, Tetsuya Murai
    Pages 111-138

  7. Discussion

    • Seiki Akama, Yotaro Nakayama, Tetsuya Murai
    Pages 139-154

  8. Conclusions

    • Seiki Akama, Yotaro Nakayama, Tetsuya Murai
    Pages 155-157

  9. Back Matter

    Pages 159-163
    PDF
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About this book

This book approaches to the subject of common-sense reasoning in AI using epistemic situation calculus which integrates the ideas of situation calculus and epistemic logic. Artificial intelligence (AI) is the research area of science and engineering for intelligent machines, especially intelligent computer programs. It is very important to deal with common-sense reasoning in knowledge-based systems. If we employ a logic-based framework, classical logic is not suited for the purpose of describing common-sense reasoning. It is well known that there are several difficulties with logic-based approaches, e.g., the so-called Fame Problem. We try to formalize common-sense reasoning in the context of granular computing based on rough set theory. The book is intended for those, like experts and students, who wish to get involved in the field as a monograph or a textbook for the subject. We assume that the reader has mastered the material ordinarily covered in AI and mathematical logic

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Keywords

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Authors and Affiliations

  • Kawasaki, Japan

    Seiki Akama

  • Biprogy, Kōtō, Japan

    Yotaro Nakayama

  • Chitose Institute of Science and Technology, Chitose, Japan

    Tetsuya Murai

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Bibliographic Information

  • Book Title: Epistemic Situation Calculus Based on Granular Computing

  • Book Subtitle: A New Approach to Common-Sense Reasoning

  • Authors: Seiki Akama, Yotaro Nakayama, Tetsuya Murai

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-031-28551-6

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-28550-9Published: 16 May 2023

  • Softcover ISBN: 978-3-031-28553-0Due: 16 June 2023

  • eBook ISBN: 978-3-031-28551-6Published: 15 May 2023

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XI, 163

  • Number of Illustrations: 6 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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Buy it now

eBook USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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