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The Allure of Machinic Life
An account of the creation of new forms of life and intelligence in cybernetics, artificial life, and artificial intelligence that analyzes both the similarities and the differences among these sciences in actualizing life.The Allure of Machinic Life
Evolution in Action: Past, Present and Future
This edited research monograph brings together contributions from computer scientists, biologists, and engineers who are engaged with the study of evolution and how it may be applied to solve real-world problems. It also serves as a Festschrift dedicated to Erik D. Goodman, the founding director of the BEACON Center for the Study of Evolution in Action, a pioneering NSF Science and Technology Center headquartered at Michigan State University. The contributing authors are leading experts associated with the center, and they serve in top research and industrial establishments across the US and worldwide. Part I summarizes the history of the BEACON Center, with refreshingly personal chapters th...
Artificial Life IX
Proceedings from the ninth International Conference on Artificial Life; papers by scientists of many disciplines focusing on the principles of organization and applications of complex, life-like systems. Artificial Life is an interdisciplinary effort to investigate the fundamental properties of living systems through the simulation and synthesis of life-like processes. The young field brings a powerful set of tools to the study of how high-level behavior can arise in systems governed by simple rules of interaction. Some of the fundamental questions include: What are the principles of evolution, learning, and growth that can be understood well enough to simulate as an information process? Can...
Introduction to Artificial Life
For students, researchers and professional scientist eager to gain insight into the emerging frontiers of Artifical Life, Chris Adami's work provides the basic underpinnings for properly understanding this interdisciplinary research area. The CD-ROM accompanying the book invites readers to actively experience artificial evolution in "real time" by using a proprietary simulation software program, AVIDA, which is contained on the CD.
The Evolution of Biological Information
"Explaining how evolution can account for the complexity of life is a significant question in biology. Whether or not complexity increases, what the mechanisms are that fuel this growth, and indeed even how we define complexity are difficult questions. In this book Christoph Adami draws on two strands of research - experimental evolution and information theory - to forward a mathematical theory that accounts for the evolution of complexity. While accounting for complexity is his primary goal, Adami also argues that information theory can do more for biology than just provide for a measure of complexity. As he argues, everything in biology uses information in one form or another, be it for communication (between cells, or organisms) or for prediction (via molecular as well as neural circuits). As a consequence, we can think of information theory as the unifying framework that allows us to understand complex systems, with biological life being only the prime example"--
Artificial Life Models in Software
The advent of powerful processing technologies and the advances in software development tools have drastically changed the approach and implementation of computational research in fundamental properties of living systems through simulating and synthesizing biological entities and processes in artificial media. Nowadays realistic physical and physiological simulation of natural and would-be creatures, worlds and societies becomes a low-cost task for ordinary home computers. The progress in technology has dramatically reshaped the structure of the software, the execution of a code, and visualization fundamentals. This has led to the emergence of novel breeds of artificial life software models, including three-dimensional programmable simulation environment, distributed discrete events platforms and multi-agent systems. This second edition reflects the technological and research advancements, and presents the best examples of artificial life software models developed in the World and available for users.
Artificial Life Models in Software
An informal introduction and guidance to modern software tools for modeling and simulation of life-like phenomena, this book offers detailed reviews of contemporary software for artificial life for both professionals and amateurs.
Deus Ex Machina Sapiens
Watson's win on Jeopardy came as no surprise to those who had read Deus ex Machina sapiens. It was written largely during the 1990s, around the time that another IBM supercomputer--Deep Blue--was trouncing world chess grandmaster Garry Kasparov. The book has since been updated on a few points of detail but its primary message remains intact: the Machine is rapidly evolving as Man's rival if not replacement for the job of Steward of the Earth. Building upon the work of some of the world's greatest scientists, philosophers, and religious thinkers, and drawing particularly from developments in the computing and cognitive sciences--particularly, the field of artificial intelligence, or AI--the b...
Biological Computation
The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book, students discover that bacteria communicate, that DNA can be used for performing computations, how evolution solves optimization problems, that the way ants organize their nests can be applied to solve clustering problems, and what the human immune system can teach us about protecting computer networks. The authors discuss more biological example...
Evolution as Computation
The study of the genetic basis for evolution has flourished in this century, as well as our understanding of the evolvability and programmability of biological systems. Genetic algorithms meanwhile grew out of the realization that a computer program could use the biologically-inspired processes of mutation, recombination, and selection to solve hard optimization problems. Genetic and evolutionary programming provide further approaches to a wide variety of computational problems. A synthesis of these experiences reveals fundamental insights into both the computational nature of biological evolution and processes of importance to computer science. Topics include biological models of nucleic acid information processing and genome evolution; molecules, cells, and metabolic circuits that compute logical relationships; the origin and evolution of the genetic code; and the interface with genetic algorithms and genetic and evolutionary programming.
