Evolution of Parallel Cellular Machines The Cellular Programming Approach /
Sipper, Moshe.
Evolution of Parallel Cellular Machines The Cellular Programming Approach / [electronic resource] : by Moshe Sipper. - 1st ed. 1997. - XIII, 202 p. online resource. - Lecture Notes in Computer Science, 1194 1611-3349 ; . - Lecture Notes in Computer Science, 1194 .
Universal computation in quasi-uniform cellular automata -- Studying artificial life using a simple, general cellular model -- Cellular programming: coevolving cellular computation -- Toward applications of cellular programming -- Online autonomous evolware: The firefly machine -- Studying fault tolerance in evolved cellular machines -- Coevolving architectures for cellular machines -- Concluding remarks and future research.
Collective systems, abounding in nature, have evolved by natural selection to exhibit striking problem-solving capacities. Employing simple yet versatile parallel cellular models, coupled with evolutionary computation techniques, this volume explores the issue of constructing man-made systems that exhibit characteristics like those occuring in nature. Parallel cellular machines hold potential both scientifically, as vehicles for studying phenomena of interest in areas such as complex adaptive systems and artificial life, and practically, enabling the construction of novel systems, endowed with evolutionary, reproductive, regenerative, and learning capabilities. This volume examines the behavior of such machines, the complex computation they exhibit, and the application of artificial evolution to attain such systems.
9783540683407
10.1007/3-540-62613-1 doi
Computer systems.
Artificial intelligence.
Computer science.
Microprocessors.
Computer architecture.
Computer programming.
Bioinformatics.
Computer System Implementation.
Artificial Intelligence.
Theory of Computation.
Processor Architectures.
Programming Techniques.
Computational and Systems Biology.
QA76.9.S88
004.2
Evolution of Parallel Cellular Machines The Cellular Programming Approach / [electronic resource] : by Moshe Sipper. - 1st ed. 1997. - XIII, 202 p. online resource. - Lecture Notes in Computer Science, 1194 1611-3349 ; . - Lecture Notes in Computer Science, 1194 .
Universal computation in quasi-uniform cellular automata -- Studying artificial life using a simple, general cellular model -- Cellular programming: coevolving cellular computation -- Toward applications of cellular programming -- Online autonomous evolware: The firefly machine -- Studying fault tolerance in evolved cellular machines -- Coevolving architectures for cellular machines -- Concluding remarks and future research.
Collective systems, abounding in nature, have evolved by natural selection to exhibit striking problem-solving capacities. Employing simple yet versatile parallel cellular models, coupled with evolutionary computation techniques, this volume explores the issue of constructing man-made systems that exhibit characteristics like those occuring in nature. Parallel cellular machines hold potential both scientifically, as vehicles for studying phenomena of interest in areas such as complex adaptive systems and artificial life, and practically, enabling the construction of novel systems, endowed with evolutionary, reproductive, regenerative, and learning capabilities. This volume examines the behavior of such machines, the complex computation they exhibit, and the application of artificial evolution to attain such systems.
9783540683407
10.1007/3-540-62613-1 doi
Computer systems.
Artificial intelligence.
Computer science.
Microprocessors.
Computer architecture.
Computer programming.
Bioinformatics.
Computer System Implementation.
Artificial Intelligence.
Theory of Computation.
Processor Architectures.
Programming Techniques.
Computational and Systems Biology.
QA76.9.S88
004.2