Human-Like Machine Intelligence (eBook)

Nicholas Chater, Stephen Muggleton (Herausgeber)

eBook Download: PDF

2021
560 Seiten
OUP Oxford (Verlag)
978-0-19-260746-1 (ISBN)

Infos

In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society. This book addresses the leading edge of research in this area. The research described aims to address present incompatibilities of Human and Machine reasoning and learning approaches. According to the influential US funding agency DARPA (originator of the Internet and Self-Driving Cars) this new area represents the Third Wave of Artificial Intelligence (3AI, 2020s-2030s), and is being actively investigated in the US, Europe and China. The chapters of this book have been authored by a mixture of UK and other international specialists. Some of the key questions addressed by the Human-Like Computing programme include how AI systems might 1) explain their decisions effectively, 2) interact with human beings in natural language, 3) learn from small numbers of examples and 4) learn with minimal supervision. Solving such fundamental problems involves new foundational research in both the Psychology of perception and interaction as well as the development of novel algorithmic approaches in Artificial Intelligence.

Produkt-Details

• Erscheint lt. Verlag: 15.7.2021
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Psychologie
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Naturwissenschaften
• ISBN-10: 0-19-260746-4 / 0192607464
• ISBN-13: 978-0-19-260746-1 / 9780192607461