
Design Principles for the Immune System and Other Distributed Autonomous Systems
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Content
- Intro
- Contents
- Preface
- PART I: AN OVERVIEW OF IMMUNOLOGY
- 1 Introduction to the Immune System
- PART II: CASE STUDIES IN IMMUNE COMPLEXITY: EXPERIMENTS
- 2 Cytokines: A Common Signaling System for Cell Growth, Inflammation, Immunity, and Differentiation
- 3 Th1/Th2 Effector Choice in the Immune System: A Developmental Program Influenced by Cytokine Signals
- 4 Oral Tolerance
- PART III: DESIGN PRINCIPLES FOR THE IMMUNE SYSTEM
- 5 An Introduction to Immuno-ecology and Immuno-informatics
- 6 The Creation of Immune Specificity
- 7 Diversity in the Immune System
- 8 T Cells Obey the Tenets of Signal Detection Theory
- 9 Diffuse Feedback from a Diffuse Informational Network: In the Immune System and Other Distributed Autonomous Systems
- 10 Multistep Navigtation and the Combinatorial Control of Cell Positioning: A General Model for Generation of Living Structure Based on Studies of Immune Cell Trafficking
- 11 Distributed, Anarchic Immune Organization: Semi-autonomous Golems at Work
- PART IV: BIOCHEMICAL SYSTEMS
- 12 New Approaches to Complex Chemical Reaction Mechanisms
- PART V: SOCIAL INSECTS
- 13 Control Mechanisms for Distributed Autonomous Systems: Insights from the Social Insects
- 14 Task Allocation in Ant Colonies
- PART VI: APPLICATIONS TO COMPUTER SCIENCE
- 15 Biologically Motivated Distributed Designs for Adaptive Knowledge Management
- 16 Analogy Making as a Complex Adaptive System
- 17 Immunology as Information Processing
- Index
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- R
- S
- T
- U
- V
- W
- X
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