Overview
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.
Full Product Details
Author: Stephen Muggleton (Professor of Machine Learning, Professor of Machine Learning, Imperial College London) ,
Nicholas Chater (Professor of Behavioural Science, Professor of Behavioural Science, Warwick Business School)
Publisher: Oxford University Press
Imprint: Oxford University Press
Edition: 1
Dimensions:
Width: 17.50cm
, Height: 3.00cm
, Length: 25.20cm
Weight: 1.208kg
ISBN: 9780198862536
ISBN 10: 0198862539
Pages: 536
Publication Date: 20 July 2021
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: To order
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.
Author Information
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 series since 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.
