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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 VI
Since their inception in 1987, the Artificial Life meetings have grown from small workshops to truly international conferences, reflecting the fields increasing appeal to researchers in all areas of science.
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
From Matter to Life
This book tackles the most difficult and profound open questions about life and its origins from an information-based perspective.
Truth from Trash
Chris Thornton makes the compelling claim that learning is not a passive discovery operation but an active process involving creativity on the part of the learner. This study of learning in autonomous agents offers a bracing intellectual adventure. Chris Thornton makes the compelling claim that learning is not a passive discovery operation but an active process involving creativity on the part of the learner. Although theorists of machine learning tell us that all learning methods contribute some form of bias and thus involve a degree of creativity, Thornton carries the idea much further. He describes an incremental process, recursive relational learning, in which the results of one learning...
Unifying Themes in Complex Systems
In recent years, scientists have applied the principles of complex systems science to increasingly diverse fields. The results have been nothing short of remarkable. The Third International Conference on Complex Systems attracted over 400 researchers from around the world. The conference aimed to encourage cross-fertilization between the many disciplines represented and to deepen our understanding of the properties common to all complex systems.
From Nuclei to Stars
This is a collection of essays of colleagues of Professor G E Brown, covering several areas in cutting-edge physics, to which he himself contributed in research and teaching. These will be among others, nuclear physics and particle physics theory, nuclear physics experiments and astrophysics. It is envisaged to include an introductory biographical chapter authored by the editor, and three shorter reminiscences of prominent colleagues, followed by around 20 contributions from former and current students, postdocs and colleagues.
Cultural Transmission and Evolution (MPB-16), Volume 16
A number of scholars have found that concepts such as mutation, selection, and random drift, which emerged from the theory of biological evolution, may also explain evolutionary phenomena in other disciplines as well. Drawing on these concepts, Professors Cavalli-Sforza and Feldman classify and systematize the various modes of transmitting "culture" and explore their consequences for cultural evolution. In the process, they develop a mathematical theory of the non-genetic transmission of cultural traits that provides a framework for future investigations in quantitative social and anthropological science. The authors use quantitative models that incorporate the various modes of transmission ...
