Intelligence and Evolutionary Biology PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Intelligence and Evolutionary Biology PDF full book. Access full book title Intelligence and Evolutionary Biology by Harry J. Jerison. Download full books in PDF and EPUB format.
Author: Harry J. Jerison
Publisher: Springer Science & Business Media
ISBN: 3642708773
Category : Medical
Languages : en
Pages : 482
Get Book Here
Book Description
In evolutionary biology, "intelligence" must be defined in terms of traits that are subject to the major forces of organic evolution. Accordingly, this volume is concerned with the substantive questions that are relevant to the evolutionary problem. Comparisons of learning abilities are highlighted by a detailed report on similarities between honeybees and higher vertebrates. Several chapters are concerned with the evolution of cerebral lateralization and the control of language, and recent analyses of the evolution of encephalization and neocorticalization, including a review of effects of domestication on brain size are presented. The relationship between brain size and intelligence is debated vigorously. Most unusual, however, is the persistent concern with analytic and philosophical issues that arise in the study of this topic, from the applications of new developments on artificial intelligence as a source of cognitive theory, to the recognition of the evolutionary process itself as a theory of knowledge in "evolutionary epistemology".
Author: Harry J. Jerison
Publisher: Springer Science & Business Media
ISBN: 3642708773
Category : Medical
Languages : en
Pages : 482
Get Book Here
Book Description
In evolutionary biology, "intelligence" must be defined in terms of traits that are subject to the major forces of organic evolution. Accordingly, this volume is concerned with the substantive questions that are relevant to the evolutionary problem. Comparisons of learning abilities are highlighted by a detailed report on similarities between honeybees and higher vertebrates. Several chapters are concerned with the evolution of cerebral lateralization and the control of language, and recent analyses of the evolution of encephalization and neocorticalization, including a review of effects of domestication on brain size are presented. The relationship between brain size and intelligence is debated vigorously. Most unusual, however, is the persistent concern with analytic and philosophical issues that arise in the study of this topic, from the applications of new developments on artificial intelligence as a source of cognitive theory, to the recognition of the evolutionary process itself as a theory of knowledge in "evolutionary epistemology".
Author: Gary B. Fogel
Publisher: Elsevier
ISBN: 0080506089
Category : Computers
Languages : en
Pages : 425
Get Book Here
Book Description
Bioinformatics has never been as popular as it is today. The genomics revolution is generating so much data in such rapid succession that it has become difficult for biologists to decipher. In particular, there are many problems in biology that are too large to solve with standard methods. Researchers in evolutionary computation (EC) have turned their attention to these problems. They understand the power of EC to rapidly search very large and complex spaces and return reasonable solutions. While these researchers are increasingly interested in problems from the biological sciences, EC and its problem-solving capabilities are generally not yet understood or applied in the biology community.This book offers a definitive resource to bridge the computer science and biology communities. Gary Fogel and David Corne, well-known representatives of these fields, introduce biology and bioinformatics to computer scientists, and evolutionary computation to biologists and computer scientists unfamiliar with these techniques. The fourteen chapters that follow are written by leading computer scientists and biologists who examine successful applications of evolutionary computation to various problems in the biological sciences.* Describes applications of EC to bioinformatics in a wide variety of areas including DNA sequencing, protein folding, gene and protein classification, drug targeting, drug design, data mining of biological databases, and biodata visualization.* Offers industrial and academic researchers in computer science, biology, and bioinformatics an important resource for applying evolutionary computation.* Includes a detailed appendix of biological data resources.
Author: Stefano Nolfi
Publisher: MIT Press
ISBN: 9780262140706
Category : Computers
Languages : en
Pages : 338
Get Book Here
Book Description
An overview of the basic concepts and methodologies of evolutionary robotics, which views robots as autonomous artificial organisms that develop their own skills in close interaction with the environment and without human intervention.
Author: Keith L. Downing
Publisher: MIT Press
ISBN: 0262029138
Category : Computers
Languages : en
Pages : 499
Get Book Here
Book Description
An investigation of intelligence as an emergent phenomenon, integrating the perspectives of evolutionary biology, neuroscience, and artificial intelligence. Emergence—the formation of global patterns from solely local interactions—is a frequent and fascinating theme in the scientific literature both popular and academic. In this book, Keith Downing undertakes a systematic investigation of the widespread (if often vague) claim that intelligence is an emergent phenomenon. Downing focuses on neural networks, both natural and artificial, and how their adaptability in three time frames—phylogenetic (evolutionary), ontogenetic (developmental), and epigenetic (lifetime learning)—underlie the emergence of cognition. Integrating the perspectives of evolutionary biology, neuroscience, and artificial intelligence, Downing provides a series of concrete examples of neurocognitive emergence. Doing so, he offers a new motivation for the expanded use of bio-inspired concepts in artificial intelligence (AI), in the subfield known as Bio-AI. One of Downing's central claims is that two key concepts from traditional AI, search and representation, are key to understanding emergent intelligence as well. He first offers introductory chapters on five core concepts: emergent phenomena, formal search processes, representational issues in Bio-AI, artificial neural networks (ANNs), and evolutionary algorithms (EAs). Intermediate chapters delve deeper into search, representation, and emergence in ANNs, EAs, and evolving brains. Finally, advanced chapters on evolving artificial neural networks and information-theoretic approaches to assessing emergence in neural systems synthesize earlier topics to provide some perspective, predictions, and pointers for the future of Bio-AI.
Author: Hitoshi Iba
Publisher: CRC Press
ISBN: 1000579905
Category : Computers
Languages : en
Pages : 288
Get Book Here
Book Description
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.
Author: R. Paul Thompson
Publisher: Cambridge University Press
ISBN: 1107027012
Category : Philosophy
Languages : en
Pages : 257
Get Book Here
Book Description
This volume explores the philosophical and biological richness of twenty-first-century evolution: its concepts, methods, structure and religious implications.
Author: Peter Bentley
Publisher: Morgan Kaufmann
ISBN: 1558606734
Category : Computers
Languages : en
Pages : 618
Get Book Here
Book Description
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.
Author: Alice Travis
Publisher: Universal-Publishers
ISBN: 1581129815
Category : Psychology
Languages : en
Pages : 237
Get Book Here
Book Description
In a bold, reasoned, and meticulously researched knowledge leap, Cognitive Evolution erases the demarcation between life and intelligent life, deciphers the concepts of intelligence and cognition, and moves our kind to the precipices of digitizing the anatomical gnome of reason. Cognitive Evolution suggests that the high order mental behaviors of Homo sapiens are rooted in the same biology as the moth's attraction to light, worker bees' foreknowledge of their assignments, ants' knowledge of the mechanics to execute the architectural design of an ant hill, or a female cat's instinct to open the umbilical sack after giving birth. Author Alice Travis ponders, "If we begin with what we accept to be intelligent life, at what point does life become non-intelligent?" It was the recognition that there is no such point that gave birth to Cognitive Evolution, and its groundbreaking interpretation of intelligence. Electronic ebook edition available. Click on Diesel ebooks logo to the left.
Author: Sue Taylor Parker
Publisher: Johns Hopkins University Press+ORM
ISBN: 1421410419
Category : Psychology
Languages : en
Pages : 613
Get Book Here
Book Description
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
Author: Lawrence Hunter
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 484
Get Book Here
Book Description
These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book. Lawrence Hunter is Director of the Machine Learning Project at the National Library of Medicine, National Institutes of Health.
