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Mathematical structures of natural intelligence [electronic resource]

Mathematical structures of natural intelligence [electronic resource]

자료유형
E-Book(소장)
개인저자
Neuman, Yair, 1968-.
서명 / 저자사항
Mathematical structures of natural intelligence [electronic resource] / Yair Neuman.
발행사항
Cham :   Springer,   c2017.  
형태사항
1 online resource (xvii, 173 p.) : ill. (some col.).
총서사항
Mathematics in mind,2522-5405
ISBN
9783319682457 9783319682464 (eBook)
요약
This book uncovers mathematical structures underlying natural intelligence and applies category theory as a modeling language for understanding human cognition, giving readers new insights into the nature of human thought. In this context, the book explores various topics and questions, such as the human representation of the number system, why our counting ability is different from that which is evident among non-human organisms, and why the idea of zero is so difficult to grasp. The book is organized into three parts: the first introduces the general reason for studying general structures underlying the human mind; the second part introduces category theory as a modeling language and use it for exposing the deep and fascinating structures underlying human cognition; and the third applies the general principles and ideas of the first two parts to reaching a better understanding of challenging aspects of the human mind such as our understanding of the number system, the metaphorical nature of our thinking and the logic of our unconscious dynamics. About the Author: Yair Neuman is a Full Professor at Ben-Gurion University. He holds a BA in Psychology (Major) and Philosophy (Minor) and a PhD in Cognition (Hebrew University, 1999), and his expertise is in studying complex cognitive, social, and symbolic systems from a unique interdisciplinary approach. Professor Neuman has published numerous papers and five academic books and has been a visiting scholar or professor at MIT, the University of Toronto, the University of Oxford, and the Weizmann Institute of Science. Beyond his purely academic work, he has developed state-of-the-art algorithms for social and cognitive computing, such as those he developed for the IARPA metaphor project (ADAMA group).
일반주기
Title from e-Book title page.  
내용주기
Part I. 1. Introduction -- 2. What is Structure? -- 3. Category Theory -- 4. How to Trick the Demon of Entropy -- 5. Neural Networks and Groupoids -- Part II. 6. Natural Intelligence in the Wild -- 7. Natural Intelligence is about meaning -- 8. From Identity to Equivalence -- 9. On Negation -- 10. Modeling -- 11. On Structures and Wholes -- Part III. 12. Let's Talk About Nothing -- 13. King Richard is a Lion -- 14. The Madman and the Dentist -- 15. Discussion -- References -- Author index -- Subject index.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Categories (Mathematics). Natural computation. Mathematics. Category Theory, Homological Algebra.
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100 1 ▼a Neuman, Yair, ▼d 1968-.
245 1 0 ▼a Mathematical structures of natural intelligence ▼h [electronic resource] / ▼c Yair Neuman.
260 ▼a Cham : ▼b Springer, ▼c c2017.
300 ▼a 1 online resource (xvii, 173 p.) : ▼b ill. (some col.).
490 1 ▼a Mathematics in mind, ▼x 2522-5405
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Part I. 1. Introduction -- 2. What is Structure? -- 3. Category Theory -- 4. How to Trick the Demon of Entropy -- 5. Neural Networks and Groupoids -- Part II. 6. Natural Intelligence in the Wild -- 7. Natural Intelligence is about meaning -- 8. From Identity to Equivalence -- 9. On Negation -- 10. Modeling -- 11. On Structures and Wholes -- Part III. 12. Let's Talk About Nothing -- 13. King Richard is a Lion -- 14. The Madman and the Dentist -- 15. Discussion -- References -- Author index -- Subject index.
520 ▼a This book uncovers mathematical structures underlying natural intelligence and applies category theory as a modeling language for understanding human cognition, giving readers new insights into the nature of human thought. In this context, the book explores various topics and questions, such as the human representation of the number system, why our counting ability is different from that which is evident among non-human organisms, and why the idea of zero is so difficult to grasp. The book is organized into three parts: the first introduces the general reason for studying general structures underlying the human mind; the second part introduces category theory as a modeling language and use it for exposing the deep and fascinating structures underlying human cognition; and the third applies the general principles and ideas of the first two parts to reaching a better understanding of challenging aspects of the human mind such as our understanding of the number system, the metaphorical nature of our thinking and the logic of our unconscious dynamics. About the Author: Yair Neuman is a Full Professor at Ben-Gurion University. He holds a BA in Psychology (Major) and Philosophy (Minor) and a PhD in Cognition (Hebrew University, 1999), and his expertise is in studying complex cognitive, social, and symbolic systems from a unique interdisciplinary approach. Professor Neuman has published numerous papers and five academic books and has been a visiting scholar or professor at MIT, the University of Toronto, the University of Oxford, and the Weizmann Institute of Science. Beyond his purely academic work, he has developed state-of-the-art algorithms for social and cognitive computing, such as those he developed for the IARPA metaphor project (ADAMA group).
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Categories (Mathematics).
650 0 ▼a Natural computation.
650 0 ▼a Mathematics.
650 0 ▼a Category Theory, Homological Algebra.
830 0 ▼a Mathematics in mind.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-3-319-68246-4
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 512.62 등록번호 E14014775 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

컨텐츠정보

목차

Part I. 1. Introduction
2. What is Structure?
3. Category Theory
4. How to Trick the Demon of Entropy
5. Neural Networks and Groupoids
Part II. 6. Natural Intelligence in the Wild
7. Natural Intelligence is about meaning
8. From Identity to Equivalence
9. On Negation
10. Modeling
11. On Structures and Wholes
Part III. 12. Let''s Talk About Nothing
13. King Richard is a Lion
14. The Madman and the Dentist
15. Discussion
References
Author index
Subject index.

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