Fr. 188.00

Epistemic Situation Calculus Based on Granular Computing - A New Approach to Common-Sense Reasoning

English · Paperback / Softback

Shipping usually within 1 to 2 weeks (title will be printed to order)

Description

Read more

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

List of contents

Introduction.- Preliminaries.- Discussion.- Conclusion.- Index.

Product details

Authors Seiki Akama, Tetsuya Murai, Yotaro Nakayama
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 17.05.2024
 
EAN 9783031285530
ISBN 978-3-0-3128553-0
No. of pages 163
Dimensions 155 mm x 9 mm x 235 mm
Weight 277 g
Illustrations XI, 163 p. 6 illus.
Series Intelligent Systems Reference Library
Subject Natural sciences, medicine, IT, technology > Technology > General, dictionaries

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.