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Evolutionary Computation 1
The field of evolutionary computation is expanding dramatically, fueled by the vast investment that reflects the value of applying its techniques. Culling material from the Handbook of Evolutionary Computation, Evolutionary Computation 1: Basic Algorithms and Operators contains up-to-date information on algorithms and operators used in evolutionary computing. This volume discusses the basic ideas that underlie the main paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, and genetic programming. It is intended to be used by individual researchers, teachers, and students working and studying in this expanding field.
Pattern
As models and paradigms, patterns have been helping to orient architects since the Middle Ages. But patterns are also the basis of the history of ornament, an aesthetic phenomenon that links all times and cultures at a fundamental level. Ornament – and hence pattern as well – was abolished by the avant-garde in the first half of the twentieth century, but the notion of pattern has taken on new meaning and importance since the 1960s. Complexity research has ultimately shown that even highly complex, dynamic patterns may be based on simple behavioral rules, and that has allowed the notions of pattern and pattern formation to take on new meanings, that are also central for architecture. Today the use of generative computerized methods is opening up new ways of talking about an idea that is becoming increasingly abstract and dynamic. Pattern explores the question: what are the notions of pattern that must be discussed in the context of contemporary architecture?
The Blue Economy
Dr. Gunter Pauli is challenging the green movement he has been so much a part of to do better, to do more. He is the entrepreneur who launched Ecover; those products are probably in many of your homes. He built the largest ecologically-sound factory in the world. His participation in the Club of Rome and the founding of Zero Emissions Research Institute (ZERI) has made an immense contribution to sustainability both in terms of research, public awareness and articulating a visionary direction. He has dedicated himself to teaching and the hands-on implementation of projects that have brought healthy environments, good nutrition, health care and jobs in sustainable commerce to a myriad of places in the world.
Evolutionary Computation
Featuring copious introductory material by distinguished scientist Dr. David B. Fogel, this formidable collection of 30 landmark papers spans the entire history of evolutionary computation--from today's investigations back to its very origins more than 40 years ago. Chapter by chapter, Fogel highlights how early ideas have developed into current thinking and how others have been lost and await rediscovery. The introductions to each chapter reflect Fogel's one-on-one conversations with the authors and their colleagues, conducted over a period of four years. Evolutionary Computation: The Fossil Record provides in-depth historical information and technical detail that is simply unmatched in the field. This volume is complete with an extensive bibliography of related literature. Evolutionary Computation: The Fossil Record will be of particular interest to researchers and students in need of a comprehensive resource on this fascinating area of computer science. Historians will also find the book thoroughly engaging.
Understanding Intelligence
The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run "programs"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that in...
Creation of a Conscious Robot
Present-day computers lack well-defined functions to accept various kinds of sensual information such as vision, hearing, and smelling (binding problem). Computers also lack any well-defined mechanisms to coordinate various behaviors in the presence of an object (conscious mechanism). This book serves as a breakthrough that opens a new world. Using the ideas presented in the book, computer systems can be developed to conduct conscious activities like human beings. Human beings will be able to develop mechanisms in which machines will have their own feelings, will behave according to their own consciousness, and will continue to learn for their betterment.
Parallel Problem Solving from Nature-PPSN VI
We are proud to introduce the proceedings of the Sixth International Conference on Parallel Problem Solving from Nature, PPSN VI, held in Paris, Prance, on 18-20 September 2000. PPSN VI was organized in association with the Genetic and Evolutionary Computing Conference (GECCO'2000) and the Congress on Evolutionary Computation (CEC'2000), reflecting the beneficial interaction between the conference activities in Europe and in the USA in the field of natural computation. Starting in 1990 in Dortmund, Germany (Proceedings, LNCS vol. 496, Sprin ger, 1991), this biannual meeting has been held in Brussels, Belgium (Procee dings, Elsevier, 1992), Jerusalem, Israel (Proceedings, LNCS vol. 866, Sprin...
Evolutionary Multi-Agent Systems
This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results. Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.
Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms
Genetic programming is a new and evolutionary method that has become a novel area of research within artificial intelligence known for automatically generating high-quality solutions to optimization and search problems. This automatic aspect of the algorithms and the mimicking of natural selection and genetics makes genetic programming an intelligent component of problem solving that is highly regarded for its efficiency and vast capabilities. With the ability to be modified and adapted, easily distributed, and effective in large-scale/wide variety of problems, genetic algorithms and programming can be utilized in many diverse industries. This multi-industry uses vary from finance and econom...
