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Artificial Intelligence

Artificial Intelligence  Book
Author : Max Bramer
Publisher : Springer Science & Business Media
Release : 2009-08-04
ISBN : 3642032257
Language : En, Es, Fr & De

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Book Description :

Featuring the viewpoint of expert members of the IFIP Technical Committee 12, its Working Groups and their colleagues, this book provides an international perspective on recent and future directions in this significant field.

Artificial Intelligence

Artificial Intelligence Book
Author : Richard E. Neapolitan,Xia Jiang
Publisher : CRC Press
Release : 2018-03-12
ISBN : 1351384384
Language : En, Es, Fr & De

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Book Description :

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more.

Artificial Intelligence

Artificial Intelligence Book
Author : Melanie Mitchell
Publisher : Pelican
Release : 2020-09-24
ISBN : 9780241404836
Language : En, Es, Fr & De

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Book Description :

No recent scientific enterprise has been so alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. How intelligent are the best of today's AI programs? To what extent can we entrust them with decisions that affect our lives? How human-like do we expect them to become, and how soon do we need to worry about them surpassing us in most, if not all, human endeavours? From leading AI researcher and award-winning author Melanie Mitchell comes a knowledgeable and captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humor, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense. Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI requires such elusive human qualities in order to be reliable, trustworthy and beneficial. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible, entertaining, and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go, and what it means for all of our futures.

Artificial Intelligence

Artificial Intelligence Book
Author : David L. Poole,Alan K. Mackworth
Publisher : Cambridge University Press
Release : 2017-09-25
ISBN : 110719539X
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence Book
Author : Wolfgang Ertel
Publisher : Springer
Release : 2018-01-29
ISBN : 9783319584867
Language : En, Es, Fr & De

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Book Description :

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 learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning. Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW). Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.

Advances in Artificial Intelligence

Advances in Artificial Intelligence Book
Author : Grigoris Antoniou,George Potamias,Costas Spyropoulos,Dimitris Plexousakis
Publisher : Springer Science & Business Media
Release : 2006-05-11
ISBN : 354034117X
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 4th Hellenic Conference on Artificial Intelligence, SETN 2006, held at Heraklion, Crete, Greece in May 2006. The 43 revised full papers and extended abstracts of 34 revised short papers presented together with 2 invited contributions address many areas of artificial intelligence; particular fields of interest include: logic programming, knowledge-based systems, intelligent information retrieval, machine learning, neural nets, genetic algorithms, and more.

Artificial Intelligence and Computational Intelligence

Artificial Intelligence and Computational Intelligence Book
Author : Hepu Deng,Lanzhou Wang,Fu Lee Wang,Jingsheng Lei
Publisher : Springer Science & Business Media
Release : 2009-10-26
ISBN : 3642052525
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009, held in Shanghai, China, on November 7-8, 2009. The 79 revised full papers presented in this volume were carefully reviewed and selected from 1203 submissions. The papers are organized in topical sections on support vector machine, rough set theory, particle swarm optimization, neural computation, intelligent agents and systems, information security, immune computation, genetic algorithms, fuzzy computation, biological computing, applications of computational intelligence, ant colony algorithm, robotics, pattern recognition, neural networks, natural language processing, machine vision, machine learning, logic reasoning and theorem-proving, knowledge representation and acquisition, intelligent signal processing, intelligent scheduling, intelligent information retrieval, intelligent information fusion, intelligent image processing, heuristic searching methods, fuzzy logic and soft computing, distributed AI and agents, data mining and knowledge discovering, applications of artificial intelligence, and others.

Life 3 0

Life 3 0 Book
Author : Max Tegmark
Publisher : Penguin UK
Release : 2017-08-29
ISBN : 0141981792
Language : En, Es, Fr & De

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Book Description :

'This is the most important conversation of our time, and Tegmark's thought-provoking book will help you join it' Stephen Hawking THE INTERNATIONAL BESTSELLER. DAILY TELEGRAPH AND THE TIMES BOOKS OF THE YEAR SELECTED AS ONE OF BARACK OBAMA'S FAVOURITE BOOKS OF 2018 AI is the future - but what will that future look like? Will superhuman intelligence be our slave, or become our god? Taking us to the heart of the latest thinking about AI, Max Tegmark, the MIT professor whose work has helped mainstream research on how to keep AI beneficial, separates myths from reality, utopias from dystopias, to explore the next phase of our existence. How can we grow our prosperity through automation, without leaving people lacking income or purpose? How can we ensure that future AI systems do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will AI help life flourish as never before, or will machines eventually outsmart us at all tasks, and even, perhaps, replace us altogether? 'This is a rich and visionary book and everyone should read it' The Times

Artificial Intelligence for Asset Management and Investment

Artificial Intelligence for Asset Management and Investment Book
Author : Al Naqvi
Publisher : John Wiley & Sons
Release : 2021-02-09
ISBN : 1119601827
Language : En, Es, Fr & De

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Book Description :

Make AI technology the backbone of your organization to compete in the Fintech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond. No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you’ll be able to build an asset management firm from the ground up—or revolutionize your existing firm—using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren’t integrating AI in the strategic DNA of your firm, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework Learn how to build AI into your organization to remain competitive in the world of Fintech Go beyond siloed AI implementations to reap even greater benefits Understand and overcome the governance and leadership challenges inherent in AI strategy Until now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations.

Tools and Applications with Artificial Intelligence

Tools and Applications with Artificial Intelligence Book
Author : Constantinos Koutsojannis,Spiros Sirmakessis
Publisher : Springer Science & Business Media
Release : 2009-01-17
ISBN : 3540880682
Language : En, Es, Fr & De

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Book Description :

In recent years, the use of Artificial Intelligence (AI) techniques has been greatly increased. The term “intelligence” seems to be a “must” in a large number of European and International project calls. AI Techniques have been used in almost any domain. Application-oriented systems usually incorporate some kind of “intelligence” by using techniques stemming from intelligent search, knowledge representation, machine learning, knowledge discovery, intelligent agents, computational intelligence etc. The Workshop on “Applications with Artificial Intelligence” seeks for quality papers on computer applications that incorporate some kind of AI technique. The objective of the workshop was to bring together scientists, engineers and practitioners, who work on designing or developing applications that use intelligent techniques or work on intelligent techniques and apply them to application domains (like medicine, biology, education etc), to present and discuss their research works and exchange ideas in this book.

Artificial Intelligence

Artificial Intelligence Book
Author : Charu C. Aggarwal
Publisher : Springer Nature
Release : 2021-10-19
ISBN : 3030723577
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence book written by Charu C. Aggarwal, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

The Promise of Artificial Intelligence

The Promise of Artificial Intelligence Book
Author : Brian Cantwell Smith
Publisher : MIT Press
Release : 2019-10-08
ISBN : 0262043041
Language : En, Es, Fr & De

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Book Description :

An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability “reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (“good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.

Artificial Intelligence

Artificial Intelligence Book
Author : Stuart J. Russell,Stuart Jonathan Russell,Peter Norvig,Ernest Davis
Publisher : Prentice Hall
Release : 2010
ISBN : 0136042597
Language : En, Es, Fr & De

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Book Description :

Artificial intelligence: A Modern Approach, 3e,is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. It is also a valuable resource for computer professionals, linguists, and cognitive scientists interested in artificial intelligence. The revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.

New Frontiers in Artificial Intelligence

New Frontiers in Artificial Intelligence Book
Author : Takashi Washio,Akito Sakurai,Katsuto Nakajima,Hideaki Takeda,Satoshi Tojo,Makoto Yokoo
Publisher : Springer Science & Business Media
Release : 2006-06-27
ISBN : 3540354700
Language : En, Es, Fr & De

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Book Description :

This book presents the joint post-proceedings of five international workshops organized by the Japanese Society for Artificial Intelligence, during the 19th Annual Conference JSAI 2005. The volume includes 5 award winning papers of the main conference, along with 40 revised full workshop papers, covering such topics as logic and engineering of natural language semantics, learning with logics, agent network dynamics and intelligence, conversational informatics and risk management systems with intelligent data analysis.

Artificial Intelligence and Expert Systems

Artificial Intelligence and Expert Systems Book
Author : I. Gupta,G. Nagpal
Publisher : Stylus Publishing, LLC
Release : 2020-04-06
ISBN : 1683925068
Language : En, Es, Fr & De

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Book Description :

This book is designed to identify some of the current applications and techniques of artificial intelligence as an aid to solving problems and accomplishing tasks. It provides a general introduction to the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc. The book has been structured into five parts with an emphasis on expert systems: problems and state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog. Features: Introduces the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc. Includes a separate chapter on Prolog to introduce basic programming techniques in AI

Artificial Intelligence and Human Institutions

Artificial Intelligence and Human Institutions Book
Author : John Richard Ennals,Richard Ennals
Publisher : Springer
Release : 1991
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence and Human Institutions argues that successful applications of artificial intelligence are possible only within an understanding of human institutions and the limitations of technology. Products of artificial intelligence research are becoming widely available to non-specialists using low-cost computer systems, but there has been a lack of communication between re- searchers and community groups. Taking the "weak AI" position, the book explores the way insights and tools from artificial intelligence can be valuable in coming to terms with real world problems. Drawing on the author's extensive practical experience in AI research and research management, the book brings together case studies from the fields of education, training, business, engineering, defence, health, and community work, and suggests future directions. This book deals with advanced concepts of artificial intelligence for non-specialist readers, while providing an introduction to state-of-the-art developments. It seeks to use AI concepts to illuminate the practical and theoretical concerns of institutions and organisations, opening up possibilities for new areas of collaborative work, and revealing new sources of references and ideas. This is the latest title in the Artificial Intelligence and Society series and will be of interest to lecturers and students in AI, education, social and political sciences, and business studies.

The Philosophy of Artificial Intelligence

The Philosophy of Artificial Intelligence Book
Author : Margaret A. Boden
Publisher : Oxford University Press on Demand
Release : 1990
ISBN : 9780198248545
Language : En, Es, Fr & De

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Book Description :

Is `artificial intelligence' a contradiction in terms? Could computers (in principle) model every aspect of the mind, including logic, language, and emotion? What of the more brain-like, connectionist computers: could they really understand, even if digital computers cannot? This collection of classic and contemporary readings (which includes an editor's introduction and an up-to-date reading list) provides a clearly signposted pathway into hotly disputed philosophical issues at the heart of artificial intelligence.

Bio Inspired Artificial Intelligence

Bio Inspired Artificial Intelligence Book
Author : Dario Floreano,Claudio Mattiussi
Publisher : Intelligent Robotics and Autonomous Agents series
Release : 2008-08-22
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

Ethics of Artificial Intelligence

Ethics of Artificial Intelligence Book
Author : S. Matthew Liao
Publisher : Oxford University Press
Release : 2020-08-18
ISBN : 0190905069
Language : En, Es, Fr & De

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Book Description :

As Artificial Intelligence (AI) technologies rapidly progress, questions about the ethics of AI, in both the near-future and the long-term, become more pressing than ever. This volume features seventeen original essays by prominent AI scientists and philosophers and represents the state-of-the-art thinking in this fast-growing field. Organized into four sections, this volume explores the issues surrounding how to build ethics into machines; ethical issues in specific technologies, including self-driving cars, autonomous weapon systems, surveillance algorithms, and sex robots; the long term risks of superintelligence; and whether AI systems can be conscious or have rights. Though the use and practical applications of AI are growing exponentially, discussion of its ethical implications is still in its infancy. This volume provides an invaluable resource for thinking through the ethical issues surrounding AI today and for shaping the study and development of AI in the coming years.

Machine Learning

Machine Learning Book
Author : R.S. Michalski,J.G. Carbonell,T.M. Mitchell
Publisher : Springer
Release : 2013-10-03
ISBN : 9783662124079
Language : En, Es, Fr & De

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Book Description :

The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.