Download or read book Artificial Intelligence Evolutionary Computing and Metaheuristics written by Xin-She Yang and published by Springer. This book was released on 2012-07-27 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.
Download or read book Evolutionary Intelligence written by S. Sumathi and published by Springer Science & Business Media. This book was released on 2008-05-15 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a highly accessible introduction to evolutionary computation. It details basic concepts, highlights several applications of evolutionary computation, and includes solved problems using MATLAB software and C/C++. This book also outlines some ideas on when genetic algorithms and genetic programming should be used. The most difficult part of using a genetic algorithm is how to encode the population, and the author discusses various ways to do this.
Download or read book Evolutionary Intelligence written by Rolf W. Frohlich and published by Xlibris Corporation. This book was released on 2009-04 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human nature holds the intelligence of life. It provides a psychology that is much stronger, more effective and more reliable than the psychology society teaches us. This psychology taps into the evolutionary survival experience of our species, which occupied most of human history. It was the period when the species evolved and our ancestor survived as a hunter and gatherer. More than 99% of human history is encoded in the DNA of our genes and lastingly etched into the human psyche. Our natural psychology, the human psyche, is the result of evolutionary adaptation. The psyche provides the genetic capacity for behavioral, mental and spiritual adaptation. It supports the gratification of our needs. And it contains the blueprint of human life. The book is about human nature and human survival. Human nature, that is, the human psyche, has survival value. The book introduces a metapsychology that refers to the Jungian archetypes and the survival capabilities inherent in the psyche. Like all living organisms and forms of life, we possess an innate capacity for survival. By awakening this evolutionary intelligence, we gain access to the primordial power and wisdom of the archetypal psyche. This innate psychology transcends the cultural conditioning that has shaped us all and erects an entirely different reference system making us look at life in a new way. We live in a world that reflects human nature and we are well equipped to survive in it. Beyond that, there is also something in us that resonates with a larger context. Our psychological constitution relates us to the outer realities of nature and cosmos. It is in this sense that we partake in the evolution of life on this planet and in the larger design of a cosmic universe. This primary psyche is shared by all humanity as part of a common biological and psychological history.
Download or read book Creative Evolutionary Systems written by Peter Bentley and published by Morgan Kaufmann. This book was released on 2002 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for computer scientists and students, and computer literate artists, designers and specialists in evolutionary computation, this text brings together the most advanced work in the use of evolutionary computation for creative results.
Download or read book Evolutionary Intelligence written by W. Russell Neuman and published by MIT Press. This book was released on 2023-09-26 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: A surprising vision of how human intelligence will coevolve with digital technology and revolutionize how we think and behave. It is natural for us to fear artificial intelligence. But does Siri really want to kill us? Perhaps we are falling into the trap of projecting human traits onto the machines we might build. In Evolutionary Intelligence, Neuman offers a surprisingly positive vision in which computational intelligence compensates for the well-recognized limits of human judgment, improves decision making, and actually increases our agency. In artful, accessible, and adventurous prose, Neuman takes the reader on an exciting, fast-paced ride, all the while making a convincing case about a revolution in computationally augmented human intelligence. Neuman argues that, just as the wheel made us mobile and machines made us stronger, the migration of artificial intelligence from room-sized computers to laptops to our watches, smart glasses, and even smart contact lenses will transform day-to-day human decision making. If intelligence is the capacity to match means with ends, then augmented intelligence can offer the ability to adapt to changing environments as we face the ultimate challenge of long-term survival. Tapping into a global interest in technology’s potential impacts on society, economics, and culture, Evolutionary Intelligence demonstrates that our future depends on our ability to computationally compensate for the limitations of a human cognitive system that has only recently graduated from hunting and gathering.
Download or read book Fundamentals of Computational Intelligence written by James M. Keller and published by John Wiley & Sons. This book was released on 2016-07-13 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.
Download or read book Swarm Intelligence written by James Kennedy and published by Morgan Kaufmann. This book was released on 2001-03-26 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: A scholarly text on swarm intelligence that argues that intelligent human cognition derives from the interactions of individuals in a social world.
Download or read book Evolutionary Intelligence for Healthcare Applications written by T. Ananth Kumar and published by CRC Press. This book was released on 2022-11-23 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis. Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.
Download or read book Race Differences in Intelligence written by Richard Lynn and published by . This book was released on 2014-08-01 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through more than 50 years of academic research, Richard Lynn has distinguished himself as one of the world's preeminent authorities on intelligence, personality, and human biodiversity. *Race Differences in Intelligence* is his essential work on this most controversial and consequential topic. Covering more than 500 published studies that span 10 population groups, Lynn demonstrates both the validity of innate intelligence as well as its heritability across racial groups. The Second Edition (2014) has been revised and updated to reflect the latest research.
Download or read book Evolutionary and Swarm Intelligence Algorithms written by Jagdish Chand Bansal and published by Springer. This book was released on 2018-06-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.
Download or read book Evolutionary Computation Swarm Intelligence written by Fabio Caraffini and published by MDPI. This book was released on 2020-11-25 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vast majority of real-world problems can be expressed as an optimisation task by formulating an objective function, also known as cost or fitness function. The most logical methods to optimise such a function when (1) an analytical expression is not available, (2) mathematical hypotheses do not hold, and (3) the dimensionality of the problem or stringent real-time requirements make it infeasible to find an exact solution mathematically are from the field of Evolutionary Computation (EC) and Swarm Intelligence (SI). The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e., those approaches which do not make any assumptions about the problem function, inspired from natural phenomena such as, in the first place, the evolution process and the collaborative behaviours of groups of animals and communities, respectively. This book contains recent advances in the EC and SI fields, covering most themes currently receiving a great deal of attention such as benchmarking and tunning of optimisation algorithms, their algorithm design process, and their application to solve challenging real-world problems to face large-scale domains.
Download or read book Artificial Intelligence and Evolutionary Computations in Engineering Systems written by Subhransu Sekhar Dash and published by Springer. This book was released on 2018-03-19 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES 2017). The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academia and industry have presented their original work and ideas, information, techniques and applications in the field of communication, computing and power technologies.
Download or read book Evolutionary Computation written by David B. Fogel and published by John Wiley & Sons. This book was released on 2006-01-03 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers. As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date with the latest research, including the latest theories and empirical properties of evolutionary computation. The Third Edition also features new knowledge-building aids. Readers will find a host of new and revised examples. New questions at the end of each chapter enable readers to test their knowledge. Intriguing assignments that prepare readers to manage challenges in industry and research have been added to the end of each chapter as well. This is a must-have reference for professionals in computer and electrical engineering; it provides them with the very latest techniques and applications in machine intelligence. With its question sets and assignments, the publication is also recommended as a graduate-level textbook.
Download or read book Evolutionary Intelligence written by W. Russell Neuman and published by MIT Press. This book was released on 2023-09-26 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: A surprising vision of how human intelligence will coevolve with digital technology and revolutionize how we think and behave. It is natural for us to fear artificial intelligence. But does Siri really want to kill us? Perhaps we are falling into the trap of projecting human traits onto the machines we might build. In Evolutionary Intelligence, Neuman offers a surprisingly positive vision in which computational intelligence compensates for the well-recognized limits of human judgment, improves decision making, and actually increases our agency. In artful, accessible, and adventurous prose, Neuman takes the reader on an exciting, fast-paced ride, all the while making a convincing case about a revolution in computationally augmented human intelligence. Neuman argues that, just as the wheel made us mobile and machines made us stronger, the migration of artificial intelligence from room-sized computers to laptops to our watches, smart glasses, and even smart contact lenses will transform day-to-day human decision making. If intelligence is the capacity to match means with ends, then augmented intelligence can offer the ability to adapt to changing environments as we face the ultimate challenge of long-term survival. Tapping into a global interest in technology’s potential impacts on society, economics, and culture, Evolutionary Intelligence demonstrates that our future depends on our ability to computationally compensate for the limitations of a human cognitive system that has only recently graduated from hunting and gathering.
Download or read book Artificial Intelligence and Evolutionary Algorithms in Engineering Systems written by L. Padma Suresh and published by Springer. This book was released on 2014-11-01 with total page 831 pages. Available in PDF, EPUB and Kindle. 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.
Download or read book Intelligent and Evolutionary Systems written by Mitsuo Gen and published by Springer Science & Business Media. This book was released on 2009-03-12 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers fourteen select papers presented at the recent Asia-Pacific Symposia on Intelligent and Evolutionary Systems. They illustrate the breadth of research in the field with applications ranging from business to medicine to network optimization.
Download or read book Origins of Intelligence written by Sue Taylor Parker and published by Johns Hopkins University Press+ORM. This book was released on 2012-10-15 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: A look at the origins of cognitive abilities in primate species. Since Darwin’s time, comparative psychologists have searched for a good way to compare cognition in humans and nonhuman primates. In Origins of Intelligence, Sue Parker and Michael McKinney offer such a framework and make a strong case for using human development theory (both Piagetian and neo-Piagetian) to study the evolution of intelligence across primate species. Their approach is comprehensive, covering a broad range of social, symbolic, physical, and logical domains, which fall under the all-encompassing and much-debated term intelligence. A widely held theory among developmental psychologists and social and biological anthropologists is that cognitive evolution in humans has occurred through juvenilization—the gradual accentuation and lengthening of childhood in the evolutionary process. In this work, however, Parker and McKinney argue instead that new stages were added at the end of cognitive development in our hominid ancestors, coining the term adultification by terminal extension to explain this process. Drawing evidence from scores of studies on monkeys, great apes, and human children, this book provides unique insights into ontogenetic constraints that have interacted with selective forces to shape the evolution of cognitive development in our lineage. “The authors’ elegant theory and comprehensive empirical synthesis of how the development of human intelligence and brain evolved opens up cascading heuristic avenues for creatively answering one of the great questions in the human history of ideas.” —Jonas Langer, Human Development “A handy source of information on comparative cognitive abilities related to life history and brain variables.” —James Anderson, Journal of the Royal Anthropological Institute
