1.

Record Nr.

UNISA990000176990203316

Autore

Ribbens, William B.

Titolo

Understanding automative electronics / by William B. Ribbens ; with contributions to previous editions by Norman P. Mansour ... [et al.]

Pubbl/distr/stampa

Indianapolis : SAMS Publishing. copyr. 1993

ISBN

0-672-27358-6

Edizione

[4th ed]

Disciplina

621.381

Collocazione

621.381 RIB

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910999675903321

Autore

Ishida Yoshiteru

Titolo

Matching automata : a degenerated design / / Yoshiteru Ishida

Pubbl/distr/stampa

Cham : , : Springer, , [2025]

©2025

ISBN

9783031856044

Descrizione fisica

1 online resource (xxviii, 202 pages) : illustrations

Collana

Intelligent systems reference library, , 1868-4408 ; ; volume 271

Disciplina

006.3

Soggetti

Computational intelligence

Artificial intelligence

Engineering - Data processing

Human-computer interaction

Computational Intelligence

Artificial Intelligence

Data Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.

Sommario/riassunto

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.