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

Akama, Seiki, Nakayama, Yotaro, Murai, Tetsuya

  • 出版商: Springer
  • 出版日期: 2024-05-17
  • 售價: $5,690
  • 貴賓價: 9.5$5,406
  • 語言: 英文
  • 頁數: 163
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031285530
  • ISBN-13: 9783031285530
  • 相關分類: 微積分 Calculus
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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

商品描述(中文翻譯)

這本書以知識推理系統中的常識推理為主題,使用了認識論情境演算法,該演算法結合了情境演算法和認識論邏輯的思想。人工智慧(AI)是科學和工程領域中研究智能機器,尤其是智能計算機程序的領域。在基於知識的系統中處理常識推理非常重要。如果我們採用基於邏輯的框架,傳統邏輯並不適合描述常識推理的目的。眾所周知,基於邏輯的方法存在一些困難,例如所謂的名聲問題。我們試圖在基於粗糙集理論的粒計算框架下形式化常識推理。本書旨在為那些希望以專著或教科書的形式參與該領域的專家和學生提供參考。我們假設讀者已經掌握了人工智慧和數學邏輯的基本知識。