Evolution as Computation: DIMACS Workshop, Princeton, January 1999

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Laura F. Landweber, Erik Winfree
Springer Science & Business Media, Nov 27, 2002 - Computers - 333 pages
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.
 

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Contents

Genome System Architecture and Natural Genetic Engineering
1
Evolutionary Computation as a Paradigm for DNABased Computing
15
A Paradigm for the Maturation of the Humoral Immune Response
41
The Evolutionary Unfolding of Complexity
67
Biologically Inspired Computation That Creatively Solves Nontrivial Problems
95
Is Ours the Best of All Possible Codes?
125
The Impact of Message Mutation on the Fitness of a Genetic Code
140
Genetic Code Evolution in the RNA World and Beyond
160
The Example of Bacteriophage T7
201
Using Artificial Reagents to Dissect Cellular Genetic Networks
210
Computational Aspects of Gene UnScrambling in Ciliates
216
Universal Molecular Computation in Ciliates
257
Toward in vivo Digital Circuits
275
Evolution of Genetic Organization in Digital Organisms
296
Toward Code Evolution By Artificial Economies
314
Copyright

Mechanism and Evolvability
179

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