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Advances in Artificial Life
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.
Artificial Life 8
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.
Evolutionary Computing
This book contains a selection of papers presented at a workshop on evolutionary computing sponsored by the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB, at the University of Sussex in Brighton, UK, in April 1996. The 22 revised full papers included in the book, together with one invited contribution, were carefully reviewed by the program committee. Twelve contributions investigate applications of evolutionary computing in various areas, such as learning, scheduling, searching, genetic programming, image processing, and robotics. Eleven papers are devoted to evolutionary computing theory and techniques.
Catching Ourselves in the Act
Catching Ourselves in the Act uses situated robotics, ethology, and developmental psychology to erect a new framework for explaining human behavior. Rejecting the cognitive science orthodoxy that formal task-descriptions and their implementation are fundamental to an explanation of mind, Horst Hendriks-Jansen argues for an alternative model based on the notion of interactive emergence. Situated activity and interactive emergence are concepts that derive from the new discipline of autonomous agent research. Hendriks-Jansen puts these notions on a firm philosophical basis and uses them to anchor a "genetic" or "historical" explanation of mental phenomena in species-typical activity patterns th...
Solving Geometric Constraint Systems
Solving Geometric Constraints records and explains the formal basis for graphical analysis techniques that have been used for decades in engineering disciplines. It describes a novel computer implementation of a 3D graphical analysis method - degrees of freedom analysis - for solving geometric constraint problems of the type encountered in the kinematic analysis of mechanical linkages, providing the best computational bounds yet achieved for this class of problems. The technique allows for the design of algorithms that provide signification speed increases and will foster the development of interactive software tools for the simulation, optimization, and design of complex mechanical devices as well as provide leverage in other geometric domains.
The NeurIPS '18 Competition
This volume presents the results of the Neural Information Processing Systems Competition track at the 2018 NeurIPS conference. The competition follows the same format as the 2017 competition track for NIPS. Out of 21 submitted proposals, eight competition proposals were selected, spanning the area of Robotics, Health, Computer Vision, Natural Language Processing, Systems and Physics. Competitions have become an integral part of advancing state-of-the-art in artificial intelligence (AI). They exhibit one important difference to benchmarks: Competitions test a system end-to-end rather than evaluating only a single component; they assess the practicability of an algorithmic solution in addition to assessing feasibility. The eight run competitions aim at advancing the state of the art in deep reinforcement learning, adversarial learning, and auto machine learning, among others, including new applications for intelligent agents in gaming and conversational settings, energy physics, and prosthetics.
Linguistic Evolution through Language Acquisition
This is a study of how children acquire language and how this affects language change over generations. Written by an international team of experts, the volume proceeds from the basis that we can not only address the language faculty per se within the framework of evolutionary theory, but also the origins and subsequent development of languages themselves; languages evolve via cultural rather than biological transmission on a historical rather than genetic timescale. The book is distinctive in utilizing computational simulation and modelling to help ensure the theories constructed are complete and precise. Drawing on a wide range of examples, the book covers the why and how of specific syntactic universals; the nature of syntactic change; the language-learning mechanisms required to acquire an existing linguistic system accurately and to impose further structure on an emerging system; and the evolution of language(s) in relation to this learning mechanism.
Art Practice in a Digital Culture
Much as art history is in the process of being transformed by new information communication technologies, often in ways that are either disavowed or resisted, art practice is also being changed by those same technologies. One of the most obvious symptoms of this change is the increasing numbers of artists working in universities, and having their work facilitated and supported by the funding and infrastructural resources that such institutions offer. This new paradigm of art as research is likely to have a profound effect on how we understand the role of the artist and of art practice in society. In this unique book, artists, art historians, art theorists and curators of new media reflect on the idea of art as research and how it has changed practice. Intrinsic to the volume is an investigation of the advances in creative practice made possible via artists engaging directly with technology or via collaborative partnerships between practitioners and technological experts, ranging through a broad spectrum of advanced methods from robotics through rapid prototyping to the biological sciences.
Mind as Machine
Cognitive science is among the most fascinating intellectual achievements of the modern era. The quest to understand the mind is an ancient one. But modern science has offered new insights and techniques that have revolutionized this enquiry. Oxford University Press now presents a masterlyhistory of the field, told by one of its most eminent practitioners.Psychology is the thematic heart of cognitive science, which aims to understand human (and animal) minds. But its core theoretical ideas are drawn from cybernetics and artificial intelligence, and many cognitive scientists try to build functioning models of how the mind works. In that sense,Margaret Boden suggests, its key insight is that m...
From Animals to Animats 8
New research on the adaptive behavior of natural and synthetic agents.
