Yoshiteru Ishida – författare

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.

Thisbook describes the struggle to introduce a mechanism that enablesnext-generation information systems to maintain themselves. Our generationobserved the birth and growth of information systems, and the Internet inparticular. Surprisingly information systems are quite different fromconventional (energy, material-intensive) artificial systems, and ratherresemble biological systems (information-intensive systems). Many artificialsystems are designed based on (Newtonian) physics assuming that every elementobeys simple and static rules; however, the experience of the Internet suggestsa different way of designing where growth cannot be controlled butself-organized with autonomous and selfish agents. This book suggests using gametheory, a mechanism design inparticular, for designing next-generation information systems which will beself-organized by collective acts with autonomous components. The challenge of mapping a probability to time appears repeatedly in many forms throughoutthis book.

The book contains interdisciplinaryresearch encompassing game theory, complex systems, reliability theory andparticle physics. All devoted to its central theme: what happens ifsystems self-repair themselves?