6 edition of Introducing artificial intelligence found in the catalog.
|LC Classifications||Q335 .S54 1984|
|The Physical Object|
|Pagination||281 p. :|
|Number of Pages||281|
|LC Control Number||85140851|
This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement : Springer International Publishing. Artificial intelligence — A computer system able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Machine learning — Arthur Samuel said “Machine Learning is the ability to learn without being explicitly programmed.”Author: Danilo Pena.
NOW OUT: Introduction to Artificial Intelligence for Security Professionals. The Cylance Data Science Team has published an instructional book about artificial intelligence and machine learning that pulls together machine learning techniques and puts them into practical situations in order to teach readers how to thrive in a data driven world. "In this book, we will cover machine . Russell and Norvig. Artificial Intelligence: A Modern Approach. A comprehensive reference for all the AI topics that we will cover. Koller and Friedman. Probabilistic Graphical Models. Covers factor graphs and Bayesian networks (this is the textbook for CS). Sutton and Barto. Reinforcement Learning: An Introduction.
Practical Artificial Intelligence Programming in Java. This book is for both professional programmers and home hobbyists who already know how to program in Java and who want to learn practical Artificial Intelligence (AI) programming and information processing techniques. The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh a concept, Artificial.
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Personal construct psychology, 1977
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About the Author. Henry Brighton is a research scientist at the Max Planck Institute for Human Development in Berlin, where he explores cognition-inspired approaches to Artificial Intelligence. Previously, he was a postdoctoral research fellow at the University of Edinburgh, and a research scientist at SHARP Laboratories of Europe, Oxford/5(11).
"Introducing Artificial Intelligence" focuses on the major issues behind one of the hardest scientific problems ever undertaken. Artificial Intelligence is not just a fictional concept. Half a century of research into the construction of intelligent machinery has resulted in machines capable of beating the best human chess players and humanoid robots that can walk and interact with by: 9.
Artificial Intelligence: A Graphic Guide is an interesting take on how to provide a quick but informative introduction to a topic. This book is worth a read, especially as deep learning and AI become household names. Furthers knowledge of cognitive science.
We've got a long way to go/5. Introduction to Artificial Intelligence: Third Edition Paperback – Aug by Philip C. Jackson (Author)4/5(5). The book on artificial intelligence gives examples of how machine learning is being used in our day-to-day lives and how it has infiltrated our daily existence.
It also discusses the future of machine learning and the ethical and legal implications for data privacy and security.
This is a Introducing artificial intelligence book little book that introduces many of the major ideas in the field of artificial intelligence.
It's pretty old now so has more value as a historical document than anything. Not overly technical, though some background in computer science, cognitive science and/or mathematics is /5.
“Deep Learning” is one of the best books on artificial intelligence written by three experts in the field. Frankly speaking, this book is a real treasure for two categories of readers. Firstly, it’s useful for university students beginning a career in deep learning and artiﬁcial intelligence research.
Artificial Intelligence: A Modern Approach (AIMA) is a university textbook on artificial intelligence, written by Stuart J. Russell and Peter Norvig. It was first published in and the third edition of the book was released 11 December An accessible book for undergraduate or graduate level students in Artificial intelligence, this is a standard across in academia.
Written by Peter Norvig, Artificial Intelligence: a Modern. books — 55 voters. Best of The Culture. 10 books — 50 voters. Women in Science. books — 45 voters. Best machine learning books. 59 books — 38 voters.
Artificial Neural Networks and Deep Learning. books — 36 voters. Fiction with an AI as main character or romantic interest (no cyborgs) books — 32 voters. Artificial Intelligence, or AI in short, has become a very important concept in computer programming.
It has evolved so suddenly in recent time, and it has become so branched, that only a primer like this on the subject can help a person to get a glance of the by: 2. Abundant illustrations, diagrams and photographs enhance the text, and challenging practice exercises at the end of each chapter test the student's grasp of each combination of introductory and advanced material makes Introduction to Artificial Intelligence ideal for both the layman and the student of mathematics and computer science.
For anyone interested in the nature of thought, it will inspire Cited by: Artificial Intelligence: The Basics is a concise and chopping-edge introduction to the quick paced world of AI. The author Kevin Warwick, a pioneer inside the space, examines issues with what it means to be man or machine and seems at advances in robotics which have blurred the boundaries.
Compared with the large standard coursebook on the subject of artificial intelligence Artificial Intelligence: A Modern Approach, Global Edition this book of Ertel is more challenging with respect to the math contained and the steep ascension between the topics and chapters.
It was the author's aim to present a briefer and more affordable introduction, and I can imagine that this book serves well as a companion /5. Introduction to Artificial Intelligence by Philip C Jackson.
Originally written over 40 years ago, and released as a second edition inthis classic provides an introduction to the science of reasoning processes in computers, as well as the approaches and results of more than two decades of research.
A comprehensive survey of artificial intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications.
This textbook offers a comprehensive survey of artificial intelligence (AI) algorithms and programming organization for robot systems. Readers who master the topics covered will be able to design and evaluate an artificially.
Any region in which you need to comprehend data is a potential client of machine learning. A prologue to Prolog programming for Artificial Intelligence spreading over crosswise over both essential and progressed Computerized reasoning material. A special advantage of this work is the mix of Artificial Intelligence, Prolog and Rationale.
The Quest for Artificial Intelligence This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today’s AI engineers.
AI is becoming more and more a part of everyone’s life. These are just a few examples of artificial intelligence systems that exist today. Not magic or science fiction--but rather science, engineering, and mathematics, to which this book provides an introduction.
Summary This chapter defines AI and establishes the cultural background against which it. Artificial intelligence is the hottest tech topic there is at the moment. It is therefore not surprising that there are hundreds of books available on the impact of AI on business and society. One.
Can computers think? Can they use reason to develop their own concepts, solve complex problems, understand our languages? This updated edition of a comprehensive survey includes extensive new text on "Artificial Intelligence in the 21st Century," introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects, andRatings: 0.This updated edition of a comprehensive survey includes extensive new text on "Artificial Intelligence in the 21st Century," introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects, and research toward human-level AI.Author Calum Chace picks the best books on Artificial Intelligence or AI.
I think this is a fairly typical American approach. They see the difficulty of introducing UBI as so massive, that they don’t see very far beyond that.
To me, there are all sorts of problems beyond UBI. Paula Boddington on Ethics for Artificial Intelligence Books.