Human-Like Machine Intelligence (PDF)
(Sprache: Englisch)
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...
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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.
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.
Autoren-Porträt
Stephen Muggleton is Professor of Machine Learning in the Department of Computing at Imperial College London. He is the Director of UK EPSRC NetworkPlus on Human-Like Computing He was the founder of the field of Inductive Logic Programming to which he has made contributions in theory, implementations and applications and has over 200 publications. He has been Executive Editor of the Machine Intelligence workshop series since 1992 and Editor-in-Chief of the seriessince 2000. In particular he acted as Programme Chair of the Machine Intelligence 20 and 21 workshop on Human-Like Computing (Cumberland Lodge, 23-25 October 2016; 30 th June-3rd July 2019).
Nick Chater FBA, Professor of Behavioural Science, Warwick Business School
Nick works on the cognitive and social foundations of rationality. He has written over 250 publications and co-written or edited more than a dozen books, has won four national awards for psychological research, and has served as Associate Editor for the journals Cognitive Science, Psychological Review, and Psychological Science. He was elected Fellow of the Cognitive Science Society in 2010, Fellow of the British Academy in 2012, and Fellow of the Association for Psychological Science in 2014.
Nick co-founded Decision Technology, a consultancy applying psychology to business; and he is a member of the UK's Committee on Climate Change. His book The Mind is Flat (Penguin/Yale University Press), won the Association of American Publishers PROSE Award for Best Book in Clinical Psychology,
2018.
Bibliographische Angaben
- 2021, 560 Seiten, Englisch
- Herausgegeben: Stephen Muggleton, Nicholas Chater
- Verlag: Oxford University Press
- ISBN-10: 0192607464
- ISBN-13: 9780192607461
- Erscheinungsdatum: 15.07.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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