Fundamentals of natural computing : basic concepts, algorithms, and applications /: basic concepts, algorithms, and applications. (2006)
- Record Type:
- Book
- Title:
- Fundamentals of natural computing : basic concepts, algorithms, and applications /: basic concepts, algorithms, and applications. (2006)
- Main Title:
- Fundamentals of natural computing : basic concepts, algorithms, and applications
- Further Information:
- Note: Leandro Nunes de Castro.
- Other Names:
- De Castro, Leandro N, 1974-
- Contents:
- Introduction; A Small Sample of Ideas; The Philosophy of Natural Computing; The Three Branches: A Brief Overview; When to Use Natural Computing Approaches; ; Conceptualization; General Concepts; ; PART I - COMPUTING INSPIRED BY NATURE; ; Evolutionary Computing; Problem Solving as a Search Task; Hill Climbing and Simulated Annealing; Evolutionary Biology; Evolutionary Computing; The Other Main Evolutionary Algorithms; From Evolutionary Biology to Computing; Scope of Evolutionary Computing; ; Neurocomputing; The Nervous System; Artificial Neural Networks; Typical ANNS and Learning Algorithms; From Natural to Artificial Neural Networks; Scope of Neurocomputing; ; Swarm Intelligence; Ant Colonies; Swarm Robotics; Social Adaptation of Knowledge; ; Immunocomputing; The Immune System; Artificial Immune Systems; Bone Marrow Models; Negative Selection Algorithms; Clonal Selection and Affinity Maturation; Artificial Immune Networks; From Natural to Artificial Immune Systems; Scope of Artificial Immune Systems; ; PART II - SIMULATION AND EMULATION OF NATURAL PHENOMENA IN COMPUTERS; ; Fractal Geometry of Nature; The Fractal Geometry of Nature; Cellular Automata; L-Systems; Iterated Function Systems; Fractional Brownian Motion; Particle Systems; Evolving the Geometry of Nature; From Natural to Fractal Geometry; ; Artificial Life; Concepts and Features of Artificial Life Systems; Examples of Artificial Life Projects; Scope of Artificial Life; From Artificial Life to Life-As-We-Know-It; ;Introduction; A Small Sample of Ideas; The Philosophy of Natural Computing; The Three Branches: A Brief Overview; When to Use Natural Computing Approaches; ; Conceptualization; General Concepts; ; PART I - COMPUTING INSPIRED BY NATURE; ; Evolutionary Computing; Problem Solving as a Search Task; Hill Climbing and Simulated Annealing; Evolutionary Biology; Evolutionary Computing; The Other Main Evolutionary Algorithms; From Evolutionary Biology to Computing; Scope of Evolutionary Computing; ; Neurocomputing; The Nervous System; Artificial Neural Networks; Typical ANNS and Learning Algorithms; From Natural to Artificial Neural Networks; Scope of Neurocomputing; ; Swarm Intelligence; Ant Colonies; Swarm Robotics; Social Adaptation of Knowledge; ; Immunocomputing; The Immune System; Artificial Immune Systems; Bone Marrow Models; Negative Selection Algorithms; Clonal Selection and Affinity Maturation; Artificial Immune Networks; From Natural to Artificial Immune Systems; Scope of Artificial Immune Systems; ; PART II - SIMULATION AND EMULATION OF NATURAL PHENOMENA IN COMPUTERS; ; Fractal Geometry of Nature; The Fractal Geometry of Nature; Cellular Automata; L-Systems; Iterated Function Systems; Fractional Brownian Motion; Particle Systems; Evolving the Geometry of Nature; From Natural to Fractal Geometry; ; Artificial Life; Concepts and Features of Artificial Life Systems; Examples of Artificial Life Projects; Scope of Artificial Life; From Artificial Life to Life-As-We-Know-It; ; PART III - COMPUTING WITH NATURAL MATERIALS; ; DNA Computing; Basic Concepts from Molecular Biology; Filtering Models; Formal Models: A Brief Description; Universal DNA Computers; Scope of DNA Computing; From Classical to DNA Computing; ; Quantum Computing; Basic Concepts from Quantum Theory; Principles from Quantum Mechanics; Quantum Information; Universal Quantum Computers; Quantum Algorithms; Physical Realizations of Quantum Computers: A Brief Description; Scope of Quantum Computing; From Classical to Quantum Computing; ; Afterwords; New Prospects; The Growth of Natural Computing; Some Lessons from Natural Computing; Artificial Intelligence and Natural Computing; Visions; ; Appendix A: Glossary of Terms; ; Appendix B: Theoretical Background; Linear Algebra; Statistics; Theory of Computation and Complexity; Other Concepts; Bibliography; ; Appendix C: A Quick Guide to the Literature; Introduction; Conceptualization; Evolutionary Computing; Neurocomputing; Swarm Intelligence; Immunocomputing; Fractal Geometry of Nature; Artificial Life; DNA Computing; Quantum Computing; ; Index; *All Chapters contain an Introduction, Summaries, Discussions, Exercises, and References … (more)
- Publisher Details:
- Place of publication not identified : Chapman and Hall/CRC
- Publication Date:
- 2006
- Extent:
- 1 online resource, illustrations
- Subjects:
- 005.1
Evolutionary programming (Computer science)
Neural networks (Computer science)
Quantum computers
Molecular computers - Languages:
- English
- ISBNs:
- 9781420011449
1420011448 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.158537
- Ingest File:
- 02_157.xml