Yoshiteru Ishida – författare

What does the future of AI hold—a supportive partner or a rival with its own illusion of self? 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.

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?

Surprisingly information systems are quite different fromconventional (energy, material-intensive) artificial systems, and ratherresemble biological systems (information-intensive systems).

This book presents a framework for communication intensive autonomous agents inspired from the immune system. With the rapid increase of computational power and networking technology similarity between computer and biological systems may now practically work. The framework presented fills the need to guide the implementation of such a "biological" system. It is described in detail focusing on the field of diagnosis and control. Several sample applications and simulations are presented.