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9780387955339

Immunocomputing

by ; ;
  • ISBN13:

    9780387955339

  • ISBN10:

    038795533X

  • Format: Hardcover
  • Copyright: 2003-07-01
  • Publisher: Springer-Verlag New York Inc
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Summary

This book is an attempt to introduce immunocomputing (IC) as a new computing approach replicating the principles of information processing by proteins and immune networks. A rigorous mathematical basis of the IC, consistent with the recent findings of immunology, is established. Various applications of IC to specific computationally-intensive real-life problems are presented. The hardware implementation aspects of the IC concept in an immunocomputer as a new kind of computing media and its potential connections with modern biological microchips (biochips) andfuture biomolecular computers (biocomputers) are discussed. The book is intended for experts in computer science, artificial intelligence and biomolecularcomputing interested in adopting the principles of computing, honed to perfection by million-year evolution, immunologists seeking to further quantify their field of research, multidisciplinary researchers interested in mutual enhancement of computer science and immunology, and university students exploring their individual "entry points" to the world of science.

Table of Contents

Preface v
Introduction
1(12)
The Mathematical Basis, Trends and Limitations of Modern Artificial Intelligence
1(3)
Key Mechanisms of Biomolecular Computing
4(4)
Proteins from the Computing Viewpoint
4(1)
The Mechanisms of Protein Behavior
5(2)
The Immune System as a Model for a New Kind of Computing
7(1)
Artificial Immune Systems
8(3)
Immunocomputing as a New Kind of Computing
11(2)
The Mathematical Basis of Immunocomputing
13(28)
The Formal Protein
13(4)
The Algebraic Description of the Shape of Natural Proteins
13(2)
The Mathematical Notion of a Formal Protein
15(2)
The Interaction Between Formal Proteins
17(5)
Binding Energy
17(1)
The Allosteric Effect
18(1)
Networks of Binding
19(3)
Formal Immune Networks
22(6)
The Formal B-Cell
22(1)
The Formal T-Cell
23(1)
The Mathematical Notion of FIN
23(4)
The Properties of FINs
27(1)
Related Topics
28(13)
Quaternion Algebra
28(3)
Singular Value Decomposition
31(5)
The SVD of Interval Matrices
36(5)
Pattern Recognition
41(20)
A Mathematical Model of Molecular Recognition
41(9)
The Representation of a Bilinear Form
41(3)
Recognition between FPs
44(2)
Specificity of Recognition
46(4)
Pattern Recognition by Immunocomputing
50(4)
The General Task of Pattern Recognition
50(3)
Supervised Learning
53(1)
Unsupervised Learning
53(1)
Main Computing Procedures
54(7)
Supervised Learning
55(2)
Unsupervised Learning
57(2)
Recognition
59(2)
Language Representation and Knowledge Based Reasoning
61(22)
Morphology: Peptide Spectrum of a Word
61(4)
Syntax: Matrix Eigenlanguages
65(13)
Knowledge-Based Reasoning
78(3)
Linguistic Binding
81(2)
Modeling of Natural and Technical Systems
83(30)
Spatial Structures of Native Proteins
83(9)
Algebraic Description of Secondary Structures
83(6)
Dependence of the Configuration on the Amino Acid Sequence
89(3)
Synchronization of Events in Computer Networks
92(8)
Time-Based Multicast Protocols
92(1)
IC Model of Multicast Protocols
93(1)
Special Cases
94(4)
Specification of the Model
98(2)
Virtual Clothing
100(13)
Problem Description
100(1)
An IC Scheme of Virtual Clothing
101(3)
Formalization
104(5)
Numerical Results
109(2)
Discussion
111(2)
Applications
113(32)
Detecting Dangerous Situations in Near-Earth Space
113(4)
Complex Evaluation of Ecological and Medical Indicators
117(10)
Ecological Atlas of the City of Saint Petersburg
118(2)
The Ecological Atlas of the City of Kaliningrad
120(2)
Quality of Environment and Morbidity of Children for the City of Tula
122(1)
Similarity in Dynamics of Infection Morbidities in Russia
123(3)
Conclusions
126(1)
Surveillance of the Plague in Central Asia
127(10)
Plague Features
127(3)
AIS for Surveillance of the Plague
130(2)
Supervised Learning
132(2)
Unsupervised Learning
134(2)
Comparison with Traditional Statistics
136(1)
Conclusions
137(1)
Intelligent Security Systems
137(8)
Supervised Learning
141(2)
Unsupervised Learning
143(2)
Immunocomputing Systems: Architecture and Implementation
145(38)
Toward an Immunocomputer
145(20)
Immunochip Architecture
145(3)
Implementation of Mathematical Operations
148(6)
Potential Applications for Information Security
154(11)
An Immunochip Emulator
165(8)
Version 1.0: Excitable Microarrays
165(1)
Version 1.1: 3D Excitable Microarrays
166(1)
Version 2.0: Self-Assembly of FP
167(1)
Version 3.0: 2D FIN
168(3)
Version 3.1: 3D FIN
171(1)
Version 3.2: Immune Response in 2D FIN
171(2)
Version 4.0: Orbital Hodograph
173(1)
The Biochip
173(10)
The Biochip Matrix
175(1)
The Molecular Adapter
176(1)
The Biochip Controller
177(3)
Biochip Applications
180(1)
From Biochip to Biocomputer
181(2)
Conclusion 183(8)
Index 191

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