Biologically Inspired Approaches to Advanced Information Technology. Second International Workshop, BioADIT 2006, Osaka, Japan 26-27, 2006, Proceedings.

Ijspeert, Auke Jan, Toshimitsu Masuzawa und Shinji Kusumoto,

ISBN 10: 3540312536 / ISBN 13: 9783540312536

Editore: Springer Berlin, 2006

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388 S. Ehem. Bibliotheksexemplar mit üblichen Merkmalen wie Signatur und Stempel. Moderate Lager- und Gebrauchsspuren. Text bis auf vereinzelt mögliche Anstreichungen sauber. Gutes Arbeitsexemplar. 9783540312536 Sprache: Englisch Gewicht in Gramm: 431. Codice articolo 1104325

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Titolo: Biologically Inspired Approaches to Advanced...

Casa editrice: Springer Berlin

Data di pubblicazione: 2006

Legatura: Softcover

Edizione: 2006.

Descrizione articolo

Riassunto:

This book constitutes the refereed proceedings of the Second International Workshop on Biologically Inspired Approaches to Advanced Information Technology, BioADIT 2006, held in Osaka, Japan, in January 2006. The 30 full papers presented together with the abstracts of 3 invited talks were carefully reviewed and selected for inclusion in the book. The contributions range from basic research in biology and in information technology, to more application-oriented developments in software and in hardware. The papers are organized in topical sections on robotics, networking, biological systems, self-organization, evolutionary computation, and modeling and imaging.

Contenuti:

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.