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Epistemic Situation Calculus Based on Granular Computing : A New Approach to Common-Sense Reasoning / / by Seiki Akama, Yotaro Nakayama, Tetsuya Murai



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Autore: Akama Seiki Visualizza persona
Titolo: Epistemic Situation Calculus Based on Granular Computing : A New Approach to Common-Sense Reasoning / / by Seiki Akama, Yotaro Nakayama, Tetsuya Murai Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (171 pages)
Disciplina: 060
Soggetto topico: Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
Persona (resp. second.): NakayamaYotaro
MuraiTetsuya
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Introduction -- Preliminaries -- Discussion -- Conclusion -- Index.
Sommario/riassunto: 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.
Titolo autorizzato: Epistemic Situation Calculus Based on Granular Computing  Visualizza cluster
ISBN: 9783031285516
3031285514
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910725094803321
Lo trovi qui: Univ. Federico II
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Serie: Intelligent Systems Reference Library, . 1868-4408 ; ; 239