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The term "artificial life" describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary field includes biologists, computer scientists, physicists, chemists, geneticists, and others. Artificial life may be viewed as an attempt to understand high-level behavior from low-level rules—for example, how the simple interactions between ants and their environment lead to complex trail-following behavior. An understanding of such relationships in particular systems can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data mining on the Internet. Since their inception in 1987, the Artificial Life meetings have grown from small workshops to truly international conferences, reflecting the field's increasing appeal to researchers in all areas of science.
This volume contains 71 revised refereed papers, including seven invited surveys, presented during the Third European Conference on Artificial Life, ECAL '95, held in Granada, Spain in June 1995. Originally AL was concerned with applying biologically inspired solutions to technology and with examining computational expertise in order to reproduce and understand life processes. Despite its short history, AL now is becoming a mature scientific field. The volume reports the state of the art in this exciting area of research; there are sections on foundations and epistemology, origins of life and evolution, adaptive and cognitive systems, artificial worlds, robotics and emulation of animal behavior, societies and collective behavior, biocomputing, and applications and common tools.
Topics include self-organization, the origins of life, natural selection, evolutionary computation, neural networks, communication, artificial worlds, software agents, philosophical issues in artificial life, ethical problems, and learning and development. Researchers in artificial life attempt to use the physical representation of lifelike phenomena to understand the organizational principles underlying the dynamics of living systems. The goal of the 1997 European Conference on Artificial Life is to provoke new understandings of the relationships between the natural and the artificial. Topics include self-organization, the origins of life, natural selection, evolutionary computation, neural networks, communication, artificial worlds, software agents, philosophical issues in artificial life, ethical problems, and learning and development.
A new translation of Karel Čapek’s play R.U.R.—which famously coined the term “robot”—and a collection of essays reflecting on the play’s legacy from scientists and scholars who work in artificial life and robotics. Karel Čapek's “R.U.R.” and the Vision of Artificial Life offers a new, highly faithful translation by Štěpán Šimek of Czech novelist, playwright, and critic Karel Čapek’s play R.U.R.: Rossum’s Universal Robots, as well as twenty essays from contemporary writers on the 1920 play. R.U.R. is perhaps best known for first coining the term “robot” (in Czech, robota means serfdom or arduous drudgery). The twenty essays in this new English edition, beautifu...
This book constitutes the refereed proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware, ICES 2000, held in Edinburgh, Scotland, UK, in April 2000. The 27 revised full papers presented were carefully reviewed and selected for inclusion in the proceedings. Among the topics covered are evaluation of digital systems, evolution of analog systems, embryonic electronics, bio-inspired systems, artificial neural networks, adaptive robotics, adaptive hardware platforms, molecular computing, reconfigurable systems, immune systems, and self-repair.
This edited book focuses on concepts and their applications using the theory of conceptual spaces, one of today’s most central tracks of cognitive science discourse. It features 15 papers based on topics presented at the Conceptual Spaces @ Work 2016 conference. The contributors interweave both theory and applications in their papers. Among the first mentioned are studies on metatheories, logical and systemic implications of the theory, as well as relations between concepts and language. Examples of the latter include explanatory models of paradigm shifts and evolution in science as well as dilemmas and issues of health, ethics, and education. The theory of conceptual spaces overcomes many...
August 8-12, 1994, Brighton, England From Animals to Animats 3 brings together research intended to advance the fron tier of an exciting new approach to understanding intelligence. The contributors represent a broad range of interests from artificial intelligence and robotics to ethology and the neurosciences. Unifying these approaches is the notion of "animat" -- an artificial animal, either simulated by a computer or embodied in a robot, which must survive and adapt in progressively more challenging environments. The 58 contributions focus particularly on well-defined models, computer simulations, and built robots in order to help characterize and compare various principles and architectur...
How high-level behaviors arise from low-level rules, and how understanding this relationship can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data mining on the Internet. The term "artificial life" describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary field includes biologists, computer scientists, physicists, chemists, geneticists, and others. Artificial life may be viewed as an attempt to understand high-level behavior from low-level rules -- for example, how the simple interactions between ants and their environment lead to complex trail-following behavior. An understanding of such relationships in particular systems can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data mining on the Internet. Since their inception in 1987, the Artificial Life meetings have grown from small workshops to truly international conferences, reflecting the field's increasing appeal to researchers in all areas of science.
This book takes an exciting perspective on language change, by explaining it in terms of Darwin's evolutionary theory. Looking at a number of developments in the history of sounds and words, Nikolaus Ritt shows how the constituents of language can be regarded as mental patterns, or 'memes', which copy themselves from one brain to another when communication and language acquisition take place. Memes are both stable in that they transmit faithfully from brain to brain, and active in that their success at replicating depends upon their own properties. Ritt uses this controversial approach to challenge established models of linguistic competence, in which speakers acquire, use, and shape language. In Darwinian terms, language evolution is something that happens to, rather than through, speakers, and the interests of linguistic constituents matter more than those of their human 'hosts'. This book will stimulate debate among evolutionary biologists, cognitive scientists and linguists alike.