Artificial Intelligence A New Synthesis
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Artificial Intelligence
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Author : Nils J. Nilsson
language : en
Publisher: Morgan Kaufmann
Release Date : 1998
Artificial Intelligence written by Nils J. Nilsson and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
This new book, by one of the most respected researchers in Artificial Intelligence, features a radical new 'evolutionary' organization that begins with low level intelligent behavior and develops complex intelligence as the book progresses.
Artificial Intelligence
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Author : Nils Nilsson
language : en
Publisher:
Release Date : 1998
Artificial Intelligence written by Nils Nilsson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Internet games categories.
Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. The book provides a refreshing and motivating new synthesis of the field by one of AI's master expositors and leading researchers. Artificial Intelligence: A New Synthesis takes the reader on a complete tour of this intriguing new world of AI. An evolutionary approach provides a unifying theme Thorough coverage of important AI ideas, old and new Frequent use of examples and illustrative diagrams Extensive coverage of machine learning methods throughout the text Citations to over 500 references Comprehensive index.
Artificial Intelligence A New Synthesis
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Author : Nils J. Nilsson
language : en
Publisher: Elsevier
Release Date : 1998-04-17
Artificial Intelligence A New Synthesis written by Nils J. Nilsson and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-17 with Computers categories.
Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches. An evolutionary approach provides a unifying theme Thorough coverage of important AI ideas, old and new Frequent use of examples and illustrative diagrams Extensive coverage of machine learning methods throughout the text Citations to over 500 references Comprehensive index
Synthetic Data For Deep Learning
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Author : Sergey I. Nikolenko
language : en
Publisher: Springer Nature
Release Date : 2021-06-26
Synthetic Data For Deep Learning written by Sergey I. Nikolenko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-26 with Computers categories.
This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default reference on synthetic data for years to come. The book can also serve as an introduction to several other important subfields of machine learning that are seldom touched upon in other books. Machine learning as a discipline would not be possible without the inner workings of optimization at hand. The book includes the necessary sinews of optimization though the crux of the discussion centers on the increasingly popular tool for training deep learning models, namely synthetic data. It is expected that the field of synthetic data will undergo exponential growth in the near future. This book serves as a comprehensive survey of the field. In the simplest case, synthetic data refers to computer-generated graphics used to train computer vision models. There are many more facets of synthetic data to consider. In the section on basic computer vision, the book discusses fundamental computer vision problems, both low-level (e.g., optical flow estimation) and high-level (e.g., object detection and semantic segmentation), synthetic environments and datasets for outdoor and urban scenes (autonomous driving), indoor scenes (indoor navigation), aerial navigation, and simulation environments for robotics. Additionally, it touches upon applications of synthetic data outside computer vision (in neural programming, bioinformatics, NLP, and more). It also surveys the work on improving synthetic data development and alternative ways to produce it such as GANs. The book introduces and reviews several different approaches to synthetic data in various domains of machine learning, most notably the following fields: domain adaptation for making synthetic data more realistic and/or adapting the models to be trained on synthetic data and differential privacy for generating synthetic data with privacy guarantees. This discussion is accompanied by an introduction into generative adversarial networks (GAN) and an introduction to differential privacy.
Artificial Intelligence In Drug Discovery
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Author : Nathan Brown
language : en
Publisher: Royal Society of Chemistry
Release Date : 2020-11-04
Artificial Intelligence In Drug Discovery written by Nathan Brown and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with Computers categories.
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
Statistical Relational Artificial Intelligence
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Author : Luc De Raedt
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2016-03-24
Statistical Relational Artificial Intelligence written by Luc De Raedt and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-24 with Computers categories.
An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.
Artificial Intelligence
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Author : Alexander V Andreichikov
language : en
Publisher:
Release Date : 2018-10
Artificial Intelligence written by Alexander V Andreichikov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10 with categories.
The monograph present outlines the results of the developments in the field of creating computing technology of the synthesis of new engineering on the level of invention. The most attention is paid to problem of computer aided designing on initial stages, where synthesis of new on principal technical systems is carried out.
Artificial Life Iv
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Author : Rodney Allen Brooks
language : en
Publisher: MIT Press
Release Date : 1994
Artificial Life Iv written by Rodney Allen Brooks and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
This book brings together contributions to the Fourth Artificial Life Workshop, held at the Massachusetts Institute of Technology in the summer of 1994.
Principles Of Artificial Intelligence
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Author : Nils J. Nilsson
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-06-28
Principles Of Artificial Intelligence written by Nils J. Nilsson and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used. Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.
Attachment And Bonding
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Author : Carol Sue Carter
language : en
Publisher: MIT Press
Release Date : 2005
Attachment And Bonding written by Carol Sue Carter and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Medical categories.
Scientists from different disciplines, including anthropology, psychology, psychiatry, pediatrics, neurobiology, endocrinology, and molecular biology, explore the concepts of attachment and bonding from varying scientific perspectives.