Anatomy of Intelligent Agents

From Neurons to Silicon-Based Agents
Erscheinungsjahr 2026
ISBN: 978-3-032-21407-2
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 296 Seiten, Format (B × H): 155 mm x 235 mm

This book dissects the relevant terms intelligence, learning, value and goal. The author explains all relevant technical terms carefully and clearly for a general audience, who is scientifically and technically interested and literate. The main theme is the Intelligent Agent, who has both the capacity, adaptability and its own interest to act independently to pursue its own goals. What are its parts and its features? How will it be different from human agents? Will it be superior or inferior? Will it coexist with humans or compete?

By discussing these questions the book will contemplate interesting properties of intelligent agents such as subjective experience and if they can have something akin to free will. Understanding their essential properties allows us to speculate how future agents will evolve, in cooperation and competition with humans.

Zielgruppe

Popular/general

Autoren/Hrsg.

Jantsch, Axel

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme

Inhaltsverzeichnis

Introduction.- Modeling.- Human intelligence.- Anatomy of an intelligent agent.- Ais strengths and weaknesses.- Transition.- Conclusion.

Über Autor(innen)

Axel Jantsch received the Dipl.Ing. and Ph.D. degrees in computer science from TU Wien, Vienna, Austria, in 1987 and 1992, respectively. From 2002 to 2014, he was Professor in Electronic Systems Design at KTH, the Royal Institute of Technology, Stockholm, Sweden. Since 2014, he has been a Professor of systems on chips with the Institute of Computer Technology, TU Wien. He has authored or coauthored five books as an editor and two as single author and more than 400 peer-reviewed contributions in journals, books, and conference proceedings. He has given more than 130 invited presentations at conferences, universities, and companies. His current research interests include systems on chips and embedded machine learning. A. Jantsch is IEEE Fellow.