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Artificial Intelligence
'I propose to consider the question, 'Can machines think?' Alan Turing (1950) Part of the ALL-NEW Ladybird Expert series. This book is for everyone living in the age of Artificial Intelligence. And this is an accessible and authoritative introduction to one of the most important conversations of our time . . . Written by computer scientist Michael Wooldridge, Artificial Intelligence chronicles the development of intelligent machines, from Turing's dream of machines that think, to today's digital assistants like Siri and Alexa. AI is not something that awaits us in the future. Inside you'll learn how we have come to rely on embedded AI software and what a world of ubiquitous AI might look like. What's inside? - The British mathematician Alan Turing - Can machines 'understand'? - Logical and Behavioural AI - The reality of AI today - AI tomorrow - And much more . . . For an adult readership, the Ladybird Expert series is produced in the same iconic small hardback format pioneered by the original Ladybirds. Each beautifully illustrated book features the first new illustrations produced in the original Ladybird style for nearly forty years.
An Introduction to MultiAgent Systems
The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). This book assumes only basic knowledge of algorithms and discrete maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential. The book’s main aims are: To introduce the student to the concept of agen...
Principles of Automated Negotiation
Top researchers investigate the main challenges and state of the art in automated negotiation and discuss potential applications.
Penguin Readers Level 7: Artificial Intelligence (ELT Graded Reader)
Penguin Readers is an ELT graded reader series. Please note that the eBook edition does NOT include access to the audio edition and digital book. Written for learners of English as a foreign language, each title includes carefully adapted text, new illustrations and language learning exercises. Titles include popular classics, exciting contemporary fiction, and thought-provoking non-fiction, introducing language learners to bestselling authors and compelling content. The eight levels of Penguin Readers follow the Common European Framework of Reference for language learning (CEFR). Exercises at the back of each Reader help language learners to practise grammar, vocabulary, and key exam skills...
Agent Autonomy
A clear trend in the study and design of autonomous agents during the late 1990s and early 2000s, has been a growing concern with being able to adjust the autonomy, particularly in the context of interactions between artificial intelligences and humans during space missions. The 11 papers present the state of the field, illustrate maturing trends ranging from analytical and formal approaches to concrete attempts and application problems, and challenge researchers to return to that old- time artificial intelligence. Representing and analyzing adaptive decision-making frameworks, obligations and cooperation as two sides of social responsibility, and policy-based agent directability are among the topics. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com).
Intelligent Agents VIII
This volume is the eighth in the Intelligent Agents series associated with the ATAL workshops. These workshops on “Agent Theories, Architectures, and L- guages” have established themselves as a tradition, and play the role of small but internationally well-known conferences on the subject, where besides theory per se also integration of theory and practice is in focus. Speci?cally, ATAL - dresses issues of theories of agency, software architectures for intelligent agents, methodologies and programming languages for realizing agents, and software tools for applying and evaluating agent-based systems. ATAL 2001 featured two special tracks in which both the more theoretical / formal and the...
Witness Testimony Evidence
Recent work in artificial intelligence has increasingly turned to argumentation as a rich, interdisciplinary area of research that can provide new methods related to evidence and reasoning in the area of law. Douglas Walton provides an introduction to basic concepts, tools and methods in argumentation theory and artificial intelligence as applied to the analysis and evaluation of witness testimony. He shows how witness testimony is by its nature inherently fallible and sometimes subject to disastrous failures. At the same time such testimony can provide evidence that is not only necessary but inherently reasonable for logically guiding legal experts to accept or reject a claim. Walton shows how to overcome the traditional disdain for witness testimony as a type of evidence shown by logical positivists, and the views of trial sceptics who doubt that trial rules deal with witness testimony in a way that yields a rational decision-making process.
Autonomy Oriented Computing
Autonomy Oriented Computing is a comprehensive reference for scientists, engineers, and other professionals concerned with this promising development in computer science. It can also be used as a text in graduate/undergraduate programs in a broad range of computer-related disciplines, including Robotics and Automation, Amorphous Computing, Image Processing, Programming Paradigms, Computational Biology, etc. Part One describes the basic concepts and characteristics of an AOC system and enumerates the critical design and engineering issues faced in AOC system development. Part Two gives detailed analyses of methodologies and case studies to evaluate AOC used in problem solving and complex system modeling. The final chapter outlines possibilities for future research and development. Numerous illustrative examples, experimental case studies, and exercises at the end of each chapter of Autonomy Oriented Computing help particularize and consolidate the methodologies and theories presented.
