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Merged Evolution charts the implications of two major forces of change, information technology and biotechnology, combined with a third force, that of 'artifactual' information, which is handed down dichronically from computing device to computing device. Through developments anticipated in the near future, Dr. Goonatilake describes the merging of these three systems, a convergence which will profoundly affect the biological, social, and technical fields much more than previous studies have implied. Together these changes yield an entirely different history - and a different future of the world for life, nature and civilization. This book addresses the broader issue arising from these important developments using the unifying perspective of general evolutionary theory to yield a fresh and profound insight.
Bringing together atomic physicists, nuclear physicists, astronomers, and astrophysicists from around the world, Stellar Evolution, Stellar Explosions, and Galactic Chemical Evolution focuses on stellar atmospheres; stellar evolution; stellar explosions, such as novae, supernovae, and x-ray bursters; pregalactic and galactic chemical evolution; the interstellar medium; and atomic and nuclear data for astrophysics. Consisting of invited papers, invited posters, and contributed posters, this volume covers observations, modeling, and atomic and nuclear physics foundations, including data, experiments, and theories, that are essential to understanding these important astrophysical objects and events. It documents a confluence of atomic physics, nuclear physics, and astrophysics and a confluence of data from atomic and nuclear physics experiments from current-generation astronomical instruments-all have helped advance the frontier in our understanding of the universe.
Ever since Darwin, scholars have noted that cultural entities such as languages, laws and theories seem to evolve through variation, selection and replication. These essays consider whether this comparison is just a metaphor.
Pathological bacteria are only 5% of the bacterial population. The other 95% promote the health and well-being of Earth. The digestive tract holds trillions of archaebacteria from over 4 1/2 billion years ago. When in danger, bacteria create shells for protection. Are humans evolved shells in order to protect the bacteria from atmospheric oxygen? Life forms are descended from prokaryote archaebacteria, for whom oxygen is unnecessary. After millions of years of evolution, can bacteria now direct humans to return the planet, through pollution, ozone depletion, or a nuclear disaster, to a more manageable level of oxygen from a present 21% to less than 1%? No bacteria reside in the cranial brain. Was the enteric nervous system the first brain? Are the archaebacteria within the gastrointestinal tract directing the actions of the body? Are the archaebacteria the architects and directors of evolution?
Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems.This book has been selected for coverage in:• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences
This open access book presents the outcomes of the “Design for Future – Managed Software Evolution” priority program 1593, which was launched by the German Research Foundation (“Deutsche Forschungsgemeinschaft (DFG)”) to develop new approaches to software engineering with a specific focus on long-lived software systems. The different lifecycles of software and hardware platforms lead to interoperability problems in such systems. Instead of separating the development, adaptation and evolution of software and its platforms, as well as aspects like operation, monitoring and maintenance, they should all be integrated into one overarching process. Accordingly, the book is split into three major parts, the first of which includes an introduction to the nature of software evolution, followed by an overview of the specific challenges and a general introduction to the case studies used in the project. The second part of the book consists of the main chapters on knowledge carrying software, and cover tacit knowledge in software evolution, continuous design decision support, model-based round-trip engineering for software product lines, performance analysis strategies, maintaining security in software evolution, learning from evolution for evolution, and formal verification of evolutionary changes. In turn, the last part of the book presents key findings and spin-offs. The individual chapters there describe various case studies, along with their benefits, deliverables and the respective lessons learned. An overview of future research topics rounds out the coverage. The book was mainly written for scientific researchers and advanced professionals with an academic background. They will benefit from its comprehensive treatment of various topics related to problems that are now gaining in importance, given the higher costs for maintenance and evolution in comparison to the initial development, and the fact that today, most software is not developed from scratch, but as part of a continuum of former and future releases.
Dense stellar systems lie at the interface between dynamics, stellar evolution, and galaxy formation, and they provide us with an ideal laboratory to understand many different aspects of these important fields as well as to explore the interplay between them. The complete study of dense stellar systems is a very challenging task which requires the collaboration and the exchange of ideas of astronomers and physicists with observational and theoretical expertise in galactic and extra-galactic astronomy, stellar dynamics, hydrodynamics, stellar evolution, as well as knowledge of many aspects of computational physics. IAU Symposium 246 brought together experts in all these areas to cover the broad field of dense stellar systems with particular emphasis on the interplay between them and on the comparison between observations and simulations. This volume provides a complete review of the most recent studies in this topical research.
This is one of the first systematic attempts to bring language within the neo-Darwinian framework of modern evolutionary theory, without abandoning the vast gains in phonology and syntax achieved by formal linguistics over the past forty years. The contributors, linguists, psychologists, and paleoanthropologists, address such questions as: what is language as a category of behavior; is it an instrument of thought or of communication; what do individuals know when they know a language; what cognitive, perceptual, and motor capacities must they have to speak, hear, and understand a language? For the past two centuries, scientists have tended to see language function as largely concerned with the exchange of practical information. By contrast, this volume takes as its starting point the view of human intelligence as social, and of language as a device for forming alliances, in exploring the origins of the sound patterns and formal structures that characterize language.
Model-driven software development drastically alters the software development process, which is characterized by a high degree of innovation and productivity. Emerging Technologies for the Evolution and Maintenance of Software Models contains original academic work about current research and research projects related to all aspects affecting the maintenance, evolution, and reengineering (MER), as well as long-term management, of software models. The mission of this book is to present a comprehensive and central overview of new and emerging trends in software model research and to provide concrete results from ongoing developments in the field.
The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684 constitute the refereed proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, held in Melbourne, Australia in September 2005. The 716 revised papers presented were carefully reviewed and selected from nearly 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the fourth volume are innovations in intelligent systems and their applications, data mining and soft computing applications, skill acquisition and ubiquitous human computer interaction, soft computing and their applications, agent-based workflows, knowledge sharing and reuse, multi-media authentication and watermarking applications, knowledge and engineering techniques for spatio-temporal applications, intelligent data analysis and applications, creativitiy support environment and its social applications, collective intelligence, computational methods for intelligent neuro-fuzzy applications, evolutionary and self-organizing sensors, actuators and processing hardware, knowledge based systems for e-business and e-learning, multi-agent systems and evolutionary computing, ubiquitous pattern recognition, neural networks for data mining, and knowledge-based technology in crime matching, modelling and prediction.