
Human-Like Machine Intelligence
Author(s): Stephen Muggleton (Editor), Nicholas Chater
- Publisher: OUP Oxford
- Publication Date: 20 July 2021
- Language: English
- Print length: 536 pages
- ISBN-10: 0198862539
- ISBN-13: 9780198862536
Book Description
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.
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About the Author
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.
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