Biologically Inspired Approaches to Advanced Information Technology : Second International Workshop, BioADIT 2006, Osaka, Japan 26-27, 2006, Proceedings / edited by Auke Jan Ijspeert, Toshimitsu Masuzawa, Shinji Kusumoto.

Format:

Book

Contributor:

Ijspeert, Auke Jan, editor.

Masuzawa, Toshimitsu, editor.

Kusumoto, Shinji, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 3853.

Theoretical Computer Science and General Issues ; 3853

Language:

English

Subjects (All):

Computers.

Computer networks.

Artificial intelligence.

Algorithms.

Application software.

Optical data processing.

Computation by Abstract Devices.

Computer Communication Networks.

Artificial Intelligence.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Image Processing and Computer Vision.

Local Subjects:

Computation by Abstract Devices.

Computer Communication Networks.

Artificial Intelligence.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Image Processing and Computer Vision.

Physical Description:

1 online resource (XIV, 388 pages).

Edition:

First edition 2006.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Summary:

This book contains 30 articles and three abstracts of invited talks presented at The Second International Workshop on Biologically Inspired Approaches for Advanced Information Technology (Bio-ADIT 2006) held at Senri Life Science Center, Osaka, Japan, on January 26-27, 2006. Bio-ADIT 2006 follows the s- cess of the ?rst workshop Bio-ADIT 2004, held at the Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland, in January 2004. The workshop is intended to provide an e?ective forum for original research results in the ?eld of bio-inspired approaches to advanced information technologies. It also serves to foster the connection between biological paradigms and solutions to building the next-generation information systems. In particular, the aim of the workshop is to explore and discuss how biologically inspired approaches can help in - signing the next generation of information systems which, like their biological counterparts, will be capable of adaptation, self-organization, replication, and self-repair. Wewerehonoredtohavetheparticipationasinvitedspeakersofthreeleading researchers in this ?eld: James C. Liao, Rolf Pfeifer, and Toshio Yanagida. The invitedtalksdealtwiththeveryinterestingsubjectsofbio-inspiredapproachesto information systems, and provided stimulating ideas to the workshop attendees to pursue further research in this exciting ?eld. The articles cover a large range of topics including networking, robotics, evolutionary computation, neural computation, biochemical networks, recon- urable hardware, and machine vision. The contributions range from basic - search in biology and in information technology, to more application-oriented developments in software and in hardware.

Contents:

Invited Talks

Design of Synthetic Gene-Metabolic Circuits

Morphological Computation: Connecting Brain, Body, and Environment

Single Molecule Nano-Bioscience

Robotics

Evolving the Walking Behaviour of a 12 DOF Quadruped Using a Distributed Neural Architecture

Robot Control: From Silicon Circuitry to Cells

Networking I

Proposal and Evaluation of a Cooperative Mechanism for Pure P2P File Sharing Networks

Resilient Multi-path Routing Based on a Biological Attractor Selection Scheme

Packet Classification with Evolvable Hardware Hash Functions - An Intrinsic Approach

Biological Systems

Emergence of Two Power-Laws in Evolution of Biochemical Network; Embedding Abundance Distribution into Topology

Microbial Interaction in a Symbiotic Bioprocess of Lactic Acid Bacterium and Diary Yeast

Responses of Fluctuating Biological Systems

Analysis of Fluctuation in Gene Expression Based on Continuous Culture System

Self-organization

Bio-inspired Computing Machines with Self-repair Mechanisms

Perspectives of Self-adapted Self-organizing Clustering in Organic Computing

MOVE Processors That Self-replicate and Differentiate

Evolutionary Computation

The Evolutionary Emergence of Intrinsic Regeneration in Artificial Developing Organisms

Evaluation of Fundamental Characteristics of Information Systems Based on Photonic DNA Computing

Hybrid Concentration-Controlled Direct-Proportional Length-Based DNA Computing for Numerical Optimization of the Shortest Path Problem

Modeling and Imaging

Modeling of Trees with Interactive L-System and 3D Gestures

New Vision Tools from the Comparative Study of an "Old" Psychophysical and a "Modern" Computational Model

Photonic Information Techniques Based on Compound-Eye Imaging

Attractor Memory with Self-organizing Input

Networking II

Bio-inspired Replica Density Control in Dynamic Networks

Improving the Robustness of Epidemic Communication in Scale-Free Networks

On Updated Data Dissemination Exploiting an Epidemic Model in Ad Hoc Networks

Posters

Modeling of Epidemic Diffusion in Peer-to-Peer File-Sharing Networks

A High-Throughput Method to Quantify the Structural Properties of Individual Cell-Sized Liposomes by Flow Cytometry

A User Authentication System Using Schema of Visual Memory

A Consideration of Application of Attractor Selection to a Real-Time Production Scheduling

Bio-inspired Organization for Multi-agents on Distributed Systems

m-ActiveCube; Multimedia Extension of Spatial Tangible User Interface

Biologically Inspired Adaptive Routing by Mimicking Enzymic Feedback Control Mechanism in the Cell

An Interest-Based Peer Clustering Algorithm Using Ant Paradigm.

Other Format:

Printed edition:

ISBN:

978-3-540-32438-6

9783540324386

Access Restriction:

Restricted for use by site license.