Artificial Intelligence

Artificial Intelligence
Author: Saswat Sarangi,Pankaj Sharma
Publsiher: Taylor & Francis
Total Pages: 150
Release: 2018-09-03
ISBN: 0429865406
Category: Political Science
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Excerpt:

What will the future be? A dystopian landscape controlled by machines or a brave new world full of possibilities? Perhaps the answer lies with Artificial Intelligence (AI)—a phenomenon much beyond technology that has, continues to, and will shape lives in ways we do not understand yet. This book traces the evolution of AI in contemporary history. It analyses how AI is primarily being driven by "capital" as the only "factor of production" and its consequences for the global political economy. It further explores the dystopian prospect of mass unemployment by AI and takes up the ethical aspects of AI and its possible use in undermining natural and fundamental rights. A tract for the times, this volume will be a major intervention in an area that is heavily debated but rarely understood. It will be essential reading for researchers and students of digital humanities, politics, economics, science and technology studies, physics, and computer science. It will also be key reading for policy makers, cyber experts and bureaucrats.

Machine Learning for Evolution Strategies

Machine Learning for Evolution Strategies
Author: Oliver Kramer
Publsiher: Springer
Total Pages: 124
Release: 2016-05-25
ISBN: 3319333836
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Machine Learning for Evolution Strategies Book Excerpt:

This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search and visualization of high-dimensional optimization processes, and clustering-based niching. After giving an introduction to evolution strategies and machine learning, the book builds the bridge between both worlds with an algorithmic and experimental perspective. Experiments mostly employ a (1+1)-ES and are implemented in Python using the machine learning library scikit-learn. The examples are conducted on typical benchmark problems illustrating algorithmic concepts and their experimental behavior. The book closes with a discussion of related lines of research.

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems
Author: L. Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi
Publsiher: Springer
Total Pages: 862
Release: 2014-11-01
ISBN: 8132221265
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems Book Excerpt:

The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

Swarm Intelligence and Deep Evolution

Swarm Intelligence and Deep Evolution
Author: Hitoshi Iba
Publsiher: CRC Press
Total Pages: 288
Release: 2022-04-14
ISBN: 1000579905
Category: Computers
Language: EN, FR, DE, ES & NL

Swarm Intelligence and Deep Evolution Book Excerpt:

The book provides theoretical and practical knowledge about swarm intelligence and evolutionary computation. It describes the emerging trends in deep learning that involve the integration of swarm intelligence and evolutionary computation with deep learning, i.e., deep neuroevolution and deep swarms. The study reviews the research on network structures and hyperparameters in deep learning, and attracting attention as a new trend in AI. A part of the coverage of the book is based on the results of practical examples as well as various real-world applications. The future of AI, based on the ideas of swarm intelligence and evolution is also covered. The book is an introductory work for researchers. Approaches to the realization of AI and the emergence of intelligence are explained, with emphasis on evolution and learning. It is designed for beginners who do not have any knowledge of algorithms or biology, and explains the basics of neural networks and deep learning in an easy-to-understand manner. As a practical exercise in neuroevolution, the book shows how to learn to drive a racing car and a helicopter using MindRender. MindRender is an AI educational software that allows the readers to create and play with VR programs, and provides a variety of examples so that the readers will be able to create and understand AI.

Artificial Intelligence

Artificial Intelligence
Author: David Jefferis
Publsiher: New York ; Niagara-on-the-Lake, Ont. : Crabtree Pub.
Total Pages: 32
Release: 1999
ISBN: 9780778700463
Category: Juvenile Nonfiction
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Excerpt:

An introduction to the past, present, and future of artificial intelligence and robotics, discussing early science fiction predictions, the dawn of AI, and today's use of robots in factories and space exploration.

Intelligence Through Simulated Evolution

Intelligence Through Simulated Evolution
Author: Lawrence J. Fogel
Publsiher: Wiley-Interscience
Total Pages: 162
Release: 1999-08-02
ISBN: 1928374650XXX
Category: Computers
Language: EN, FR, DE, ES & NL

Intelligence Through Simulated Evolution Book Excerpt:

A unique, one-stop reference to the history, technology, and application of evolutionary programming Evolutionary programming has come a long way since Lawrence Fogel first proposed in 1961 that intelligence could be modeled on the natural process of evolution. Efforts to apply this innovative approach to artificial intelligence have also evolved over the years, and the advent of fast desktop computers capable of solving complex computational problems has spawned an explosion of interest in the field. Offering the unique perspective of one of the inventors of evolutionary programming, this remarkable work traces forty years of developments in the field. Dr. Fogel consolidates a wealth of information and hard-to-find figures from across the literature, providing comprehensive coverage of the evolutionary programming approach to simulated evolution. This includes both an updated, condensed version of his bestselling 1966 work, Artificial Intelligence Through Simulated Evolution (with Owens and Walsh), and a thorough discussion of the history, technology, and methods of machine learning from 1970 to the present. This important resource features clear, up-to-date explanations of how the simulation of evolutionary processes allows machines to learn to solve new problems in new ways. And it helps readers make the leap to generating intelligent systems-extending the discussion to neural networks, fuzzy logic, and genetic algorithms development. Engineers and computer scientists in all areas of machine learning will gain invaluable insight into existing and emerging applications and obtain ample ideas to draw upon in future research.

Artificial Intelligence Technologies and the Evolution of Web 3 0

Artificial Intelligence Technologies and the Evolution of Web 3 0
Author: Issa, Tomayess
Publsiher: IGI Global
Total Pages: 422
Release: 2015-02-28
ISBN: 1466681489
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Technologies and the Evolution of Web 3 0 Book Excerpt:

Web technologies have become a vital element within educational, professional, and social settings as they have the potential to improve performance and productivity across organizations. Artificial Intelligence Technologies and the Evolution of Web 3.0 brings together emergent research and best practices surrounding the effective usage of Web 3.0 technologies in a variety of environments. Featuring the latest technologies and applications across industries, this publication is a vital reference source for academics, researchers, students, and professionals who are interested in new ways to use intelligent web technologies within various settings.

Artificial Intelligence Through Simulated Evolution

Artificial Intelligence Through Simulated Evolution
Author: Lawrence J. Fogel,Alvin J. Owens,Michael John Walsh
Publsiher: Unknown
Total Pages: 170
Release: 1966
ISBN: 1928374650XXX
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

Artificial Intelligence Through Simulated Evolution Book Excerpt:

Evolution of the Web in Artificial Intelligence Environments

Evolution of the Web in Artificial Intelligence Environments
Author: Richi Nayak,N. Ichalkaranje
Publsiher: Springer
Total Pages: 282
Release: 2008-09-08
ISBN: 354079140X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Evolution of the Web in Artificial Intelligence Environments Book Excerpt:

The Web has revolutionized the way we seek information on all aspects of education, entertainment, business, health and so on. The Web has evolved into a publishing medium, global electronic market and increasingly, a platform for conducting electronic commerce. A part of this success can be attributed to the tremendous advances made in the Artificial Intelligence field. The popularity of the Web has opened many opportunities to develop smart Web-based systems using artificial intelligence techniques. There exist numerous Web technology and applications that can benefit with the application of artificial intelligence techniques. It is not possible to cover them all in one book with a required degree of quality, depth and width. We present this book to discuss some important Web developments by using artificial intelligence techniques in the areas of Web personalisation, semantic Web and Web services. The primary readers of this book are undergraduate/postgraduate students, researchers and practitioners in information technology and computer science related areas. The success of this book is largely due to the collective efforts of a great team consisting of authors and reviewers. We are grateful to them for their vision and wonderful support. The final quality of selected papers reflects their efforts. Finally we would like to thank the Queensland University of Technology, Brisbane Australia and University of South Australia, Adelaide Australia for providing us the resources and time to undertake this task. We extend our sincere thanks to Scientific Publishing Services Pvt. Ltd., for the editorial support.

Absolute AI The Evolution of the Human Experience Through Artificial Intelligence

Absolute AI  The Evolution of the Human Experience Through Artificial Intelligence
Author: Susan Rebner,Todd Rebner,Deann Jordan
Publsiher: Lulu Press, Inc
Total Pages: 135
Release: 2019-11-04
ISBN: 1684710979
Category: Computers
Language: EN, FR, DE, ES & NL

Absolute AI The Evolution of the Human Experience Through Artificial Intelligence Book Excerpt:

You’ve probably heard dire warnings about artificial intelligence from figures such as the late Stephen Hawking and Elon Musk regarding the dangers of artificial intelligence. We shouldn’t dismiss these experts, but we can harness the potential of AI to build a future that is both sustainable and profitable beyond our dreams. To accomplish this, we must bring together leadership teams from various fields to mindfully grow, develop, and integrate AI technologies in the most ethical, secure, and transparent ways possible. Susan and Todd Rebner take a deep dive into AI, highlighting how companies, agencies, educational institutions, brick and mortar retail stores, financial giants, and individuals can use it to create a better future. Their crucial point is that in the hands of the right organizational leader, AI will be seen as the most powerful tool humanity has ever created to solve the world's greatest problems, not create them.

Artificial Intelligence and Exponential Technologies Business Models Evolution and New Investment Opportunities

Artificial Intelligence and Exponential Technologies  Business Models Evolution and New Investment Opportunities
Author: Francesco Corea
Publsiher: Springer
Total Pages: 45
Release: 2017-01-11
ISBN: 3319515500
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Exponential Technologies Business Models Evolution and New Investment Opportunities Book Excerpt:

Artificial Intelligence is a huge breakthrough technology that is changing our world. It requires some degrees of technical skills to be developed and understood, so in this book we are going to first of all define AI and categorize it with a non-technical language. We will explain how we reached this phase and what historically happened to artificial intelligence in the last century. Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed. Finally, we will describe the investment landscape, through the quite comprehensive study of almost 14,000 AI companies and we will discuss important features and characteristics of both AI investors as well as investments. This is the “Internet of Thinks” era. AI is revolutionizing the world we live in. It is augmenting the human experiences, and it targets to amplify human intelligence in a future not so distant from today. Although AI can change our lives, it comes also with some responsibilities. We need to start thinking about how to properly design an AI engine for specific purposes, as well as how to control it (and perhaps switch it off if needed). And above all, we need to start trusting our technology, and its ability to reach an effective and smart decision.

Evolution of the Web in Artificial Intelligence Environments

Evolution of the Web in Artificial Intelligence Environments
Author: Richi Nayak,N. Ichalkaranje
Publsiher: Springer Science & Business Media
Total Pages: 282
Release: 2008-05-30
ISBN: 3540791396
Category: Mathematics
Language: EN, FR, DE, ES & NL

Evolution of the Web in Artificial Intelligence Environments Book Excerpt:

The Web has revolutionized the way we seek information on all aspects of education, entertainment, business, health and so on. The Web has evolved into a publishing medium, global electronic market and increasingly, a platform for conducting electronic commerce. A part of this success can be attributed to the tremendous advances made in the Artificial Intelligence field. The popularity of the Web has opened many opportunities to develop smart Web-based systems using artificial intelligence techniques. There exist numerous Web technology and applications that can benefit with the application of artificial intelligence techniques. It is not possible to cover them all in one book with a required degree of quality, depth and width. We present this book to discuss some important Web developments by using artificial intelligence techniques in the areas of Web personalisation, semantic Web and Web services. The primary readers of this book are undergraduate/postgraduate students, researchers and practitioners in information technology and computer science related areas. The success of this book is largely due to the collective efforts of a great team consisting of authors and reviewers. We are grateful to them for their vision and wonderful support. The final quality of selected papers reflects their efforts. Finally we would like to thank the Queensland University of Technology, Brisbane Australia and University of South Australia, Adelaide Australia for providing us the resources and time to undertake this task. We extend our sincere thanks to Scientific Publishing Services Pvt. Ltd., for the editorial support.

Artificial Intelligence and Religion

Artificial Intelligence and Religion
Author: Joe Ganio-Mego
Publsiher: Joe GANIO-MEGO
Total Pages: 135
Release: 101-01-01
ISBN: 1928374650XXX
Category: Religion
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Religion Book Excerpt:

This book tries to answer these questions: why during the palaeolithic phase did humans give little importance to divination? why during the neolithic humans give such huge importance to divination to resort massively to human sacrifices? why divination did evolve into religion? why nowadays religion is losing importance? how will it continue from here? The concept of divine will be a historical concept that intelligent molecular life has used for about 5000, 7000 years or so to achieve what in modern machine programming we call lines of code reduction and loop break out. Complete religion phase-out might be just around the corner. It no longer fulfils its number one purpose; the loop break-out.

Evolutionary Computation

Evolutionary Computation
Author: David B. Fogel
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2006-01-03
ISBN: 0471749206
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Evolutionary Computation Book Excerpt:

This Third Edition provides the latest tools and techniques thatenable computers to learn The Third Edition of this internationally acclaimed publicationprovides the latest theory and techniques for using simulatedevolution to achieve machine intelligence. As a leading advocatefor evolutionary computation, the author has successfullychallenged the traditional notion of artificial intelligence, whichessentially programs human knowledge fact by fact, but does nothave the capacity to learn or adapt as evolutionary computationdoes. Readers gain an understanding of the history of evolutionarycomputation, which provides a foundation for the author's thoroughpresentation of the latest theories shaping current research.Balancing theory with practice, the author provides readers withthe skills they need to apply evolutionary algorithms that cansolve many of today's intransigent problems by adapting to newchallenges and learning from experience. Several examples areprovided that demonstrate how these evolutionary algorithms learnto solve problems. In particular, the author provides a detailedexample of how an algorithm is used to evolve strategies forplaying chess and checkers. As readers progress through the publication, they gain anincreasing appreciation and understanding of the relationshipbetween learning and intelligence. Readers familiar with theprevious editions will discover much new and revised material thatbrings the publication thoroughly up to date with the latestresearch, including the latest theories and empirical properties ofevolutionary computation. The Third Edition also features new knowledge-building aids.Readers will find a host of new and revised examples. New questionsat the end of each chapter enable readers to test their knowledge.Intriguing assignments that prepare readers to manage challenges inindustry and research have been added to the end of each chapter aswell. This is a must-have reference for professionals in computer andelectrical engineering; it provides them with the very latesttechniques and applications in machine intelligence. With itsquestion sets and assignments, the publication is also recommendedas a graduate-level textbook.

Cognitive Architectures in Artificial Intelligence

Cognitive Architectures in Artificial Intelligence
Author: Andy Clark,Josefa Toribio
Publsiher: Taylor & Francis
Total Pages: 308
Release: 1998
ISBN: 9780815327691
Category: Computers
Language: EN, FR, DE, ES & NL

Cognitive Architectures in Artificial Intelligence Book Excerpt:

This volume traces the modern critical and performance history of this play, one of Shakespeare's most-loved and most-performed comedies. The essay focus on such modern concerns as feminism, deconstruction, textual theory, and queer theory.

Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

Evolutionary Computation  Machine Learning and Data Mining in Bioinformatics
Author: Clara Pizzuti,Marylyn D. Ritchie,Mario Giacobini
Publsiher: Springer
Total Pages: 203
Release: 2009-04-10
ISBN: 3642011845
Category: Computers
Language: EN, FR, DE, ES & NL

Evolutionary Computation Machine Learning and Data Mining in Bioinformatics Book Excerpt:

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tübingen, Germany, in April 2009 colocated with the Evo* 2009 events. The 17 revised full papers were carefully reviewed and selected from 44 submissions. EvoBio is the premiere European event for experts in computer science meeting with experts in bioinformatics and the biological sciences, all interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology. Topics addressed by the papers include biomarker discovery, cell simulation and modeling, ecological modeling, uxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, as well as systems biology.

Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

Evolutionary Computation  Machine Learning and Data Mining in Bioinformatics
Author: Marylyn D. Ritchie
Publsiher: Springer Science & Business Media
Total Pages: 249
Release: 2010-03-25
ISBN: 3642122108
Category: Computers
Language: EN, FR, DE, ES & NL

Evolutionary Computation Machine Learning and Data Mining in Bioinformatics Book Excerpt:

The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences datainordertounravelthemysteriesofbiologicalfunction,leadingtonewdrugs andtherapiesforhumandisease. Life sciencesdatacomeinthe formofbiological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci?c information in a given dataset in order to generate new interesting knowledge. Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to o?er the ?eld of bioinformatics. The goal of the 8th - ropean Conference on Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBIO 2010) was to bring together experts in these ?elds in order to discuss new and novel methods for tackling complex biological problems. The 8th EvoBIO conference was held in Istanbul, Turkey during April 7–9, 2010attheIstanbulTechnicalUniversity. EvoBIO2010washeldjointlywiththe 13th European Conference on Genetic Programming (EuroGP 2010), the 10th European Conference on Evolutionary Computation in Combinatorial Opti- sation (EvoCOP 2010), and the conference on the applications of evolutionary computation,EvoApplications. Collectively,the conferences areorganizedunder the name Evo* (www. evostar. org). EvoBIO, held annually as a workshop since 2003, became a conference in 2007 and it is now the premiere European event for those interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology.

Strategy Evolution and War

Strategy  Evolution  and War
Author: Kenneth Payne
Publsiher: Georgetown University Press
Total Pages: 272
Release: 2018-06
ISBN: 1626165807
Category: History
Language: EN, FR, DE, ES & NL

Strategy Evolution and War Book Excerpt:

Decisions about war have always been made by humans, but now intelligent machines are on the cusp of changing things – with dramatic consequences for international affairs. This book explores the evolutionary origins of human strategy, and makes a provocative argument that Artificial Intelligence will radically transform the nature of war by changing the psychological basis of decision-making about violence. Strategy, Evolution, and War is a cautionary preview of how Artificial Intelligence (AI) will revolutionize strategy more than any development in the last three thousand years of military history. Kenneth Payne describes strategy as an evolved package of conscious and unconscious behaviors with roots in our primate ancestry. Our minds were shaped by the need to think about warfare—a constant threat for early humans. As a result, we developed a sophisticated and strategic intelligence. The implications of AI are profound because they depart radically from the biological basis of human intelligence. Rather than being just another tool of war, AI will dramatically speed up decision making and use very different cognitive processes, including when deciding to launch an attack, or escalate violence. AI will change the essence of strategy, the organization of armed forces, and the international order. This book is a fascinating examination of the psychology of strategy-making from prehistoric times, through the ancient world, and into the modern age.

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development
Author: Sandeep Kumar,Anand Nayyar,Anand Paul
Publsiher: CRC Press
Total Pages: 146
Release: 2019-12-05
ISBN: 1000727033
Category: Computers
Language: EN, FR, DE, ES & NL

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development Book Excerpt:

Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world. Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world. Key Features: Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry. Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection. In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis. Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis. Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery. The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.

Artificial Intelligence Is Connected to Evolution

Artificial Intelligence Is Connected to Evolution
Author: Ian Beardsley
Publsiher: Lulu.com
Total Pages: 48
Release: 2018-08-02
ISBN: 9781387997985
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence Is Connected to Evolution Book Excerpt:

The author provides a reason for his discovery of parallel trajectories of evolution between artificial intelligence, biological life, and the solar system.