東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Matching automata = a degenerated de...

Ishida, Yoshiteru.

Linked to FindBook

Google Book

Amazon

博客來

Matching automata = a degenerated design /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Matching automata/ by Yoshiteru Ishida.
Reminder of title:	a degenerated design /
Author:	Ishida, Yoshiteru.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xxviii, 202 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Introduction a degenerated design by matching -- Matching Automata as a Model of Self Actioning Systems -- A Classification of Instances with Graph Equivalence -- A Visualization of Symmetry in Matchings -- Modeling Biological Systems Switching in Visual Recognition -- Modeling Biological Systems Switching in Auditory Recognition -- Collective Identity and Additive Symmetry -- Biological Degeneracy and System Reliability -- Designing Artificial Systems with Degeneracy Matching Automata for Collective Survivability -- Matching Automata and the Self Repairing Network -- Conclusion.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-85604-4
ISBN:	9783031856044

Matching automata = a degenerated design /
Ishida, Yoshiteru.

Matching automataa degenerated design /[electronic resource] :by Yoshiteru Ishida. - Cham :Springer Nature Switzerland :2025. - xxviii, 202 p. :ill. (chiefly color), digital ;24 cm. - Intelligent systems reference library,v. 2711868-4408 ;. - Intelligent systems reference library ;v. 271..

Introduction a degenerated design by matching -- Matching Automata as a Model of Self Actioning Systems -- A Classification of Instances with Graph Equivalence -- A Visualization of Symmetry in Matchings -- Modeling Biological Systems Switching in Visual Recognition -- Modeling Biological Systems Switching in Auditory Recognition -- Collective Identity and Additive Symmetry -- Biological Degeneracy and System Reliability -- Designing Artificial Systems with Degeneracy Matching Automata for Collective Survivability -- Matching Automata and the Self Repairing Network -- Conclusion.

What does the future of AI hold-a supportive partner or a rival with its own illusion of self? This book explores this critical question by introducing degenerated design, a groundbreaking framework for creating resilient, adaptive systems inspired by natural processes like immunity and collective intelligence. Rejecting traditional optimization-focused AI paradigms, this approach embraces imperfection and diversity as essential for building intelligent systems that thrive in dynamic environments. Spanning industries such as robotics, automotive, biotechnology, quantum computing, and space exploration, the book also ventures into the cognitive dimensions of AI. Inspired by human sensory systems, it proposes a two-sided model, possibly extendable to that of consciousness, exploring the interplay between passive automata and active intentional agents. It delves into the origins and illusions of self-consciousness, examining its survival merits and dangers in both biological and artificial contexts. A must-read for system designers, CEOs, and AI researchers, this book also challenges academics and students to rethink the future of generative AI and antiAI systems. This book is both a technical blueprint and a philosophical exploration of AI's potential to liberate or confront humanity. The future of human AI coexistence starts here.

ISBN: 9783031856044

Standard No.: 10.1007/978-3-031-85604-4doiSubjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Matching automata = a degenerated design /
LDR:02996nmm a2200337 a 4500 001 2410274
003 DE-He213
005 20250428130220.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031856044 $q (electronic bk.)
020 $a 9783031856037 $q (paper)
024 7 $a 10.1007/978-3-031-85604-4 $2 doi
035 $a 978-3-031-85604-4
040 $a GP $c GP
041 0 $a eng
050 4 $a Q335
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q335 $b .I79 2025
100 1 $a Ishida, Yoshiteru. $3 2165567
245 1 0 $a Matching automata $h [electronic resource] : $b a degenerated design / $c by Yoshiteru Ishida.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xxviii, 202 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4408 ; $v v. 271
505 0 $a Introduction a degenerated design by matching -- Matching Automata as a Model of Self Actioning Systems -- A Classification of Instances with Graph Equivalence -- A Visualization of Symmetry in Matchings -- Modeling Biological Systems Switching in Visual Recognition -- Modeling Biological Systems Switching in Auditory Recognition -- Collective Identity and Additive Symmetry -- Biological Degeneracy and System Reliability -- Designing Artificial Systems with Degeneracy Matching Automata for Collective Survivability -- Matching Automata and the Self Repairing Network -- Conclusion.
520 $a What does the future of AI hold-a supportive partner or a rival with its own illusion of self? This book explores this critical question by introducing degenerated design, a groundbreaking framework for creating resilient, adaptive systems inspired by natural processes like immunity and collective intelligence. Rejecting traditional optimization-focused AI paradigms, this approach embraces imperfection and diversity as essential for building intelligent systems that thrive in dynamic environments. Spanning industries such as robotics, automotive, biotechnology, quantum computing, and space exploration, the book also ventures into the cognitive dimensions of AI. Inspired by human sensory systems, it proposes a two-sided model, possibly extendable to that of consciousness, exploring the interplay between passive automata and active intentional agents. It delves into the origins and illusions of self-consciousness, examining its survival merits and dangers in both biological and artificial contexts. A must-read for system designers, CEOs, and AI researchers, this book also challenges academics and students to rethink the future of generative AI and antiAI systems. This book is both a technical blueprint and a philosophical exploration of AI's potential to liberate or confront humanity. The future of human AI coexistence starts here.
650 0 $a Artificial intelligence. $3 516317
650 0 $a Human-computer interaction. $3 560071
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Data Engineering. $3 3409361
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Intelligent systems reference library ; $v v. 271. $3 3784064
856 4 0 $u https://doi.org/10.1007/978-3-031-85604-4
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)