A Classical Approach To Artificial Intelligence

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A Classical Approach To Artificial Intelligence

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Author : Munesh Chandra Trivedi
language : en
Publisher: KHANNA PUBLISHING HOUSE
Release Date :

A Classical Approach To Artificial Intelligence written by Munesh Chandra Trivedi and has been published by KHANNA PUBLISHING HOUSE this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

There are many books available in the market on the proposed topic but none of them can be termed as comprehensive. Besides, students face many problems in understanding the language of this books. Keeping these points in mind, Artificial Intelligence was prepared, which should be simple enough to comprehend and comprehensive enough to encompass all the topics of different institutions and universities.

Philosophy And Theory Of Artificial Intelligence

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Author : Vincent C. Müller
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-23

Philosophy And Theory Of Artificial Intelligence written by Vincent C. Müller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-23 with Technology & Engineering categories.

Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.

Artificial Intelligence

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Author : Stuart Russell
language : en
Publisher:
Release Date : 2016-05-05

Artificial Intelligence written by Stuart Russell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-05 with categories.

For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.

The Economics Of Artificial Intelligence

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Author : Ajay Agrawal
language : en
Publisher: University of Chicago Press
Release Date : 2024-03-14

The Economics Of Artificial Intelligence written by Ajay Agrawal and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-14 with Business & Economics categories.

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

The Cambridge Handbook Of Artificial Intelligence

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Author : Keith Frankish
language : en
Publisher: Cambridge University Press
Release Date : 2014-06-12

The Cambridge Handbook Of Artificial Intelligence written by Keith Frankish and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-12 with Computers categories.

An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists.

Artificial Intelligence The Basics

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Author : Kevin Warwick
language : en
Publisher: Routledge
Release Date : 2013-03-01

Artificial Intelligence The Basics written by Kevin Warwick and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-01 with Philosophy categories.

'if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011 Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries. Topics covered include: how intelligence can be defined whether machines can 'think' sensory input in machine systems the nature of consciousness the controversial culturing of human neurons. Exploring issues at the heart of the subject, this book is suitable for anyone interested in AI, and provides an illuminating and accessible introduction to this fascinating subject.

Introduction To Artificial Intelligence

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Author : Wolfgang Ertel
language : en
Publisher: Springer
Release Date : 2018-01-18

Introduction To Artificial Intelligence written by Wolfgang Ertel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-18 with Computers categories.

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.

Artificial Intelligence

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Author : Charles Patton
language : en
Publisher: Charles D. Patton
Release Date : 2024-12-26

Artificial Intelligence written by Charles Patton and has been published by Charles D. Patton this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.

"Artificial Consciousness" is a pioneering exploration of the boundaries between Artificial Intelligence (AI), consciousness, and the potential for overlap. A leading artificial intelligence researcher delves deep into the inherent divide between AI and true consciousness, presenting thought-provoking arguments and unique insights. Artificial intelligence has revolutionized numerous aspects of modern life, from autonomous vehicles to personalized recommendations on streaming platforms. But does AI possess the critical elements of consciousness despite its complexity and seeming intelligence? Is it truly capable of understanding and experiencing reality the way humans do? In this ground-breaking work, the author strives to answer these questions, untangling the intricate threads of AI and consciousness to layout the “roadmap” to creating an Artificial Consciousness (AC). This book meticulously explores AI's current limitations, focusing on its inability to replicate the essential elements of consciousness. It sheds light on why our most sophisticated AI models, despite their impressive capabilities, lack genuine self-awareness, subjective experience, or the ability to empathize. But the journey doesn't stop at describing AI's limitations. As the narrative progresses, it unfolds the fascinating concept of Artificial Consciousness (AC), a not-so-distant future where AI could transcend its boundaries and approach consciousness. The author proposes a comprehensive blueprint for creating an AC, detailing the technical advancements, ethical considerations, and philosophical shifts necessary for this monumental transition.

Artificial Intelligence And The Value Alignment Problem

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Author : Travis LaCroix
language : en
Publisher: Broadview Press
Release Date : 2025-04-07

Artificial Intelligence And The Value Alignment Problem written by Travis LaCroix and has been published by Broadview Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-07 with Philosophy categories.

Written for an interdisciplinary audience, this book provides strikingly clear explanations of the many difficult technical and moral concepts central to discussions of ethics and AI. In particular, it serves as an introduction to the value alignment problem: that of ensuring that AI systems are aligned with the values of humanity. LaCroix redefines the problem as a structural one, showing the reader how various topics in AI ethics, from bias and fairness to transparency and opacity, can be understood as instances of the key problem of value alignment. Numerous case studies are presented throughout the book to highlight the significance of the issues at stake and to clarify the central role of the value alignment problem in the many ethical challenges facing the development and implementation of AI.

Unlocking Artificial Intelligence

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Author : Christopher Mutschler
language : en
Publisher: Springer Nature
Release Date : 2024-07-29

Unlocking Artificial Intelligence written by Christopher Mutschler and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-29 with Mathematics categories.

This open access book provides a state-of-the-art overview of current machine learning research and its exploitation in various application areas. It has become apparent that the deep integration of artificial intelligence (AI) methods in products and services is essential for companies to stay competitive. The use of AI allows large volumes of data to be analyzed, patterns and trends to be identified, and well-founded decisions to be made on an informative basis. It also enables the optimization of workflows, the automation of processes and the development of new services, thus creating potential for new business models and significant competitive advantages. The book is divided in two main parts: First, in a theoretically oriented part, various AI/ML-related approaches like automated machine learning, sequence-based learning, deep learning, learning from experience and data, and process-aware learning are explained. In a second part, various applications are presented that benefit from the exploitation of recent research results. These include autonomous systems, indoor localization, medical applications, energy supply and networks, logistics networks, traffic control, image processing, and IoT applications. Overall, the book offers professionals and applied researchers an excellent overview of current exploitations, approaches, and challenges of AI/ML-related research.