Intelligence and Evolutionary Biology

Intelligence and Evolutionary Biology PDF Author: Harry J. Jerison
Publisher: Springer Science & Business Media
ISBN: 3642708773
Category : Medical
Languages : en
Pages : 482

Get Book

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".

Intelligence and Evolutionary Biology

Intelligence and Evolutionary Biology PDF Author: Harry J. Jerison
Publisher: Springer Science & Business Media
ISBN: 3642708773
Category : Medical
Languages : en
Pages : 482

Get Book

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".

Evolutionary Robotics

Evolutionary Robotics PDF Author: Stefano Nolfi
Publisher: MIT Press
ISBN: 9780262140706
Category : Computers
Languages : en
Pages : 338

Get Book

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.

In the Light of Evolution

In the Light of Evolution PDF Author: National Academy of Sciences
Publisher: Sackler Colloquium
ISBN:
Category : Science
Languages : en
Pages : 388

Get Book

Book Description
The Arthur M. Sackler Colloquia of the National Academy of Sciences address scientific topics of broad and current interest, cutting across the boundaries of traditional disciplines. Each year, four or five such colloquia are scheduled, typically two days in length and international in scope. Colloquia are organized by a member of the Academy, often with the assistance of an organizing committee, and feature presentations by leading scientists in the field and discussions with a hundred or more researchers with an interest in the topic. Colloquia presentations are recorded and posted on the National Academy of Sciences Sackler colloquia website and published on CD-ROM. These Colloquia are made possible by a generous gift from Mrs. Jill Sackler, in memory of her husband, Arthur M. Sackler.

The Origin and Evolution of Intelligence

The Origin and Evolution of Intelligence PDF Author: Arnold B. Scheibel
Publisher: Jones & Bartlett Learning
ISBN: 9780763703653
Category : Medical
Languages : en
Pages : 196

Get Book

Book Description
What is intelligence? From where did it come? Will the human brain grow and adapt to the ever-changing world? These and many other questions are addressed in The Origin and Evolution of Intelligence. This volume is composed of a series of articles presented on the origin and evolution of intelligence in March 1995 at the Eighth Annual Symposium of the UCLA Center for the Study of the Origin and Evolution of Life (CSEOL). The six authors of the contributions to this volume discuss in detail an enormous span of invertebrate and vertebrate life forms and wrestle with a vast array of problems ranging from direction finding in ants and birds to sociopolitical communication in monkeys, symbol manipulation in apes, and language use in humans. All these phenomena may be grouped under the general term intelligence, the unifying theme of the volume.

Creative Evolutionary Systems

Creative Evolutionary Systems PDF Author: Peter Bentley
Publisher: Morgan Kaufmann
ISBN: 1558606734
Category : Computers
Languages : en
Pages : 618

Get Book

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.

Swarm Intelligence and Deep Evolution

Swarm Intelligence and Deep Evolution PDF Author: Hitoshi Iba
Publisher: CRC Press
ISBN: 1000579905
Category : Computers
Languages : en
Pages : 288

Get Book

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.

Evolutionary Computation in Bioinformatics

Evolutionary Computation in Bioinformatics PDF Author: Gary Fogel
Publisher: Morgan Kaufmann
ISBN: 9781558607972
Category : Computers
Languages : en
Pages : 432

Get Book

Book Description
This book offers a definitive resource that bridges biology and evolutionary computation. The authors have written an introduction to biology and bioinformatics for computer scientists, plus an introduction to evolutionary computation for biologists and for computer scientists unfamiliar with these techniques.

Advances in the Evolutionary Synthesis of Intelligent Agents

Advances in the Evolutionary Synthesis of Intelligent Agents PDF Author: Mukesh Patel
Publisher: MIT Press
ISBN: 9780262162012
Category : Computers
Languages : en
Pages : 510

Get Book

Book Description
This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning. Among the first uses of the computer was the development of programs to model perception, reasoning, learning, and evolution. Further developments resulted in computers and programs that exhibit aspects of intelligent behavior. The field of artificial intelligence is based on the premise that thought processes can be computationally modeled. Computational molecular biology brought a similar approach to the study of living systems. In both cases, hypotheses concerning the structure, function, and evolution of cognitive systems (natural as well as synthetic) take the form of computer programs that store, organize, manipulate, and use information. Systems whose information processing structures are fully programmed are difficult to design for all but the simplest applications. Real-world environments call for systems that are able to modify their behavior by changing their information processing structures. Cognitive and information structures and processes, embodied in living systems, display many effective designs for biological intelligent agents. They are also a source of ideas for designing artificial intelligent agents. This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning. The book is organized around four topics: the power of evolution to determine effective solutions to complex tasks, mechanisms to make evolutionary design scalable, the use of evolutionary search in conjunction with local learning algorithms, and the extension of evolutionary search in novel directions.

Cognitive Evolution

Cognitive Evolution PDF Author: Alice Travis
Publisher: Universal-Publishers
ISBN: 1581129815
Category : Psychology
Languages : en
Pages : 237

Get Book

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.

Intelligence Emerging

Intelligence Emerging PDF Author: Keith L. Downing
Publisher: MIT Press
ISBN: 0262029138
Category : Computers
Languages : en
Pages : 499

Get Book

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.