Evolutionary Intelligence

Evolutionary Intelligence

Author: Rolf W. Frohlich

Publisher: Xlibris Corporation

Published: 2009-04

Total Pages: 443

ISBN-13: 1413409547

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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.


Evolutionary Intelligence

Evolutionary Intelligence

Author: S. Sumathi

Publisher: Springer Science & Business Media

Published: 2008-05-15

Total Pages: 600

ISBN-13: 3540753826

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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.


Race Differences in Intelligence

Race Differences in Intelligence

Author: Richard Lynn

Publisher:

Published: 2014-08-01

Total Pages: 446

ISBN-13: 9781593680190

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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.


Artificial Intelligence, Evolutionary Computing and Metaheuristics

Artificial Intelligence, Evolutionary Computing and Metaheuristics

Author: Xin-She Yang

Publisher: Springer

Published: 2012-07-27

Total Pages: 797

ISBN-13: 3642296947

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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.


Evolutionary Intelligence

Evolutionary Intelligence

Author: W. Russell Neuman

Publisher: MIT Press

Published: 2023-09-26

Total Pages: 250

ISBN-13: 0262048485

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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.


Creative Evolutionary Systems

Creative Evolutionary Systems

Author: Peter Bentley

Publisher: Morgan Kaufmann

Published: 2002

Total Pages: 618

ISBN-13: 1558606734

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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.


Fundamentals of Computational Intelligence

Fundamentals of Computational Intelligence

Author: James M. Keller

Publisher: John Wiley & Sons

Published: 2016-07-13

Total Pages: 378

ISBN-13: 111921436X

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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.


Evolutionary and Swarm Intelligence Algorithms

Evolutionary and Swarm Intelligence Algorithms

Author: Jagdish Chand Bansal

Publisher: Springer

Published: 2018-06-06

Total Pages: 194

ISBN-13: 3319913417

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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.


Swarm Intelligence

Swarm Intelligence

Author: Felix Chan

Publisher: BoD – Books on Demand

Published: 2007-12-01

Total Pages: 550

ISBN-13: 3902613092

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In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on "Swarm Intelligence: Focus on Ant and Particle Swarm Optimization" aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics.


Evolutionary Intelligence for Healthcare Applications

Evolutionary Intelligence for Healthcare Applications

Author: T. Ananth Kumar

Publisher: CRC Press

Published: 2022-11-23

Total Pages: 136

ISBN-13: 1000834131

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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.