Biologically Inspired Approaches to Advanced Information Technology : First International Workshop, BioADIT 2004, Lausanne, Switzerland, January 29-30, 2004. Revised Selected Papers / edited by Auke Jan Ijspeert, Masayuki Murata, Naoki Wakamiya.

Format:

Book

Contributor:

Ijspeert, Auke Jan, editor.

Murata, Masayuki, editor.

Wakamiya, Naoki, 1971- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science 0302-9743 ; 3141.

Lecture Notes in Computer Science, 0302-9743 ; 3141

Language:

English

Subjects (All):

Computers.

Computer networks.

Artificial intelligence.

Algorithms.

Optical data processing.

Application software.

Computation by Abstract Devices.

Computer Communication Networks.

Artificial Intelligence.

Algorithm Analysis and Problem Complexity.

Image Processing and Computer Vision.

Information Systems Applications (incl. Internet).

Local Subjects:

Computation by Abstract Devices.

Computer Communication Networks.

Artificial Intelligence.

Algorithm Analysis and Problem Complexity.

Image Processing and Computer Vision.

Information Systems Applications (incl. Internet).

Physical Description:

1 online resource (XIV, 516 pages).

Edition:

First edition 2004.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.

System Details:

text file PDF

Summary:

The evolution of the Internet has led us to the new era of the information infrastructure. As the information systems operating on the Internet are getting larger and more complicated, it is clear that the traditional approaches based on centralized mechanisms are no longer meaningful. One typical example can be found in the recent growing interest in a P2P (peer-to-peer) computing paradigm. It is quite different from the Web-based client-server systems, which adopt essentially centralized management mechanisms. The P2P computing environment has the potential to overcome bottlenecks in Web computing paradigm, but it introduces another difficulty, a scalability problem in terms of information found, if we use a brute-force flooding mechanism. As such, conventional information systems have been designed in a centralized fashion. As the Internet is deployed on a world scale, however, the information systems have been growing, and it becomes more and more difficult to ensure fau- free operation. This has long been a fundamental research topic in the field. A complex information system is becoming more than we can manage. For these reasons, there has recently been a significant increase in interest in biologically inspired approaches to designing future information systems that can be managed efficiently and correctly.

Contents:

Biosystems for IT Evolution

Object-Oriented Specification of Complex Bio-computing Processes: A Case Study of a Network of Proteolytic Enzymes

Analysis of Responses of Complex Bionetworks to Changes in Environmental Conditions

Experimental Molecular Evolution Showing Flexibility of Fitness Leading to Coexistence and Diversification in Biological System

Echo State Networks and Self-Prediction

Learning Bayesian Networks by Lamarckian Genetic Algorithm and Its Application to Yeast Cell-Cycle Gene Network Reconstruction from Time-Series Microarray Data

Towards Cortex Sized Attractor ANN

Bio-inspired Software Systems

Biologically Inspired Reinforcement Learning: Reward-Based Decomposition for Multi-goal Environments

Dynamic Self-Assembly and Computation: From Biological to Information Systems

Implementation and Evaluation of a System to Support Human Relationship Formation in Networked Virtual Space

Biologically Plausible Speech Recognition with LSTM Neural Nets

Spatial Tangible User Interfaces for Cognitive Assessment and Training

Biologically Inspired Computer Virus Detection System

Explaining Low-Level Brightness-Contrast Illusions Using Disinhibition

Autonomous Acquisition of the Meaning of Sensory States Through Sensory-Invariance Driven Action

Hardware Systems

Characterizing the Firing Properties of an Adaptive Analog VLSI Neuron

Embryonic Machines That Divide and Differentiate

Artificial Cellular Division by Self-Inspection

A Hardware Implementation of a Network of Functional Spiking Neurons with Hebbian Learning

Robotics

A Study on Designing Robot Controllers by Using Reinforcement Learning with Evolutionary State Recruitment Strategy

Movement Generation and Control with Generic Neural Microcircuits

Efficiency and Task Allocation in Prey Retrieval

Anatomy and Physiology of an Artificial Vision Matrix

Bio-inspired Distributed/Parallel Processing

An Adaptive Mechanism for Epidemic Communication

The Blob Division

Distributed Central Pattern Generator Model for Robotics Application Based on Phase Sensitivity Analysis

Ant-Based Approach to Mobile Agent Traversal

Bio-inspired Networking

An Ant Inspired Technique for Storage Area Network Design

Media Streaming on P2P Networks with Bio-inspired Cache Replacement Algorithm

An Artificial Immune System Approach to Misbehavior Detection in Mobile Ad Hoc Networks

Scalable and Robust Scheme for Data Gathering in Sensor Networks

Image Processing

Biologically Inspired Image Compression in Biomedical High-Throughput Screening

Naïve Algorithms for Keyphrase Extraction and Text Summarization from a Single Document Inspired by the Protein Biosynthesis Process

Biologically Motivated Trainable Selective Attention Model Using Adaptive Resonance Theory Network

Other Topics

Searching for a Practical Evidence of the No Free Lunch Theorems

How Collective Intelligence Emerge in Complex Environment?

The Genealogy of Biomimetics: Half a Century's Quest for Dynamic IT.

Other Format:

Printed edition:

ISBN:

978-3-540-27835-1

9783540278351

Access Restriction:

Restricted for use by site license.