Biologically Inspired Approaches to Advanced Information Technology

Table of Contents

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   Book Overview
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   Chapter 1 Design of Synthetic Gene-Metabolic Circuits
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   Chapter 2 Morphological Computation: Connecting Brain, Body, and Environment
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   Chapter 3 Single Molecule Nano-Bioscience
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   Chapter 4 Evolving the Walking Behaviour of a 12 DOF Quadruped Using a Distributed Neural Architecture
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   Chapter 5 Robot Control: From Silicon Circuitry to Cells
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   Chapter 6 Proposal and Evaluation of a Cooperative Mechanism for Pure P2P File Sharing Networks
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   Chapter 7 Resilient Multi-path Routing Based on a Biological Attractor Selection Scheme
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   Chapter 8 Packet Classification with Evolvable Hardware Hash Functions – An Intrinsic Approach
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    Chapter 9 Emergence of Two Power-Laws in Evolution of Biochemical Network; Embedding Abundance Distribution into Topology
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    Chapter 10 Microbial Interaction in a Symbiotic Bioprocess of Lactic Acid Bacterium and Diary Yeast
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    Chapter 11 Responses of Fluctuating Biological Systems
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    Chapter 12 Analysis of Fluctuation in Gene Expression Based on Continuous Culture System
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    Chapter 13 Bio-inspired Computing Machines with Self-repair Mechanisms
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    Chapter 14 Perspectives of Self-adapted Self-organizing Clustering in Organic Computing
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    Chapter 15 MOVE Processors That Self-replicate and Differentiate
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    Chapter 16 The Evolutionary Emergence of Intrinsic Regeneration in Artificial Developing Organisms
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    Chapter 17 Evaluation of Fundamental Characteristics of Information Systems Based on Photonic DNA Computing
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    Chapter 18 Hybrid Concentration-Controlled Direct-Proportional Length-Based DNA Computing for Numerical Optimization of the Shortest Path Problem
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    Chapter 19 Modeling of Trees with Interactive L-System and 3D Gestures
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    Chapter 20 New Vision Tools from the Comparative Study of an “Old” Psychophysical and a “Modern” Computational Model
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    Chapter 21 Photonic Information Techniques Based on Compound-Eye Imaging
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    Chapter 22 Attractor Memory with Self-organizing Input
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    Chapter 23 Bio-inspired Replica Density Control in Dynamic Networks
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    Chapter 24 Improving the Robustness of Epidemic Communication in Scale-Free Networks
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    Chapter 25 On Updated Data Dissemination Exploiting an Epidemic Model in Ad Hoc Networks
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    Chapter 26 Modeling of Epidemic Diffusion in Peer-to-Peer File-Sharing Networks
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    Chapter 27 A High-Throughput Method to Quantify the Structural Properties of Individual Cell-Sized Liposomes by Flow Cytometry
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    Chapter 28 A User Authentication System Using Schema of Visual Memory
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    Chapter 29 A Consideration of Application of Attractor Selection to a Real-Time Production Scheduling
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    Chapter 30 Bio-inspired Organization for Multi-agents on Distributed Systems
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    Chapter 31 m-ActiveCube; Multimedia Extension of Spatial Tangible User Interface
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    Chapter 32 Biologically Inspired Adaptive Routing by Mimicking Enzymic Feedback Control Mechanism in the Cell
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    Chapter 33 An Interest-Based Peer Clustering Algorithm Using Ant Paradigm