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Bio-Inspired Models of Network, Information, and Computing Systems

7th International ICST Conference, BIONETICS 2012, Lugano, Switzerland, December 10--11, 2012, Revised Selected Papers

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Gianni A. Di Caro

    1. Dalle Molle Institute for Artificial Intelligence (IDSIA), Manno-Lugano, Switzerland

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  2. Guy Theraulaz

    1. CNRS UMR 5169, Research Center on Animal Cognition, Université Paul Sabatier, Toulouse, France

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Included in the following conference series:

Conference proceedings info: BIONETICS 2012.

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Bio-Inspired Models of Network, Information and Computing Systems (Bionetics 2012), held in Lugano, Switzerland, in December 2012. The 23 revised full papers presented were carefully reviewed and selected from 40 submissions. They cover topics such as networking, robotics and neural networks, molecular scale and bioinformatics, optimization and bio-inspired modeling in various fields.

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Keywords

Table of contents (22 papers)

  1. Front Matter

    Pages I-XI
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  3. Robotics, Learning, and Neural Networks

    1. Front Matter

      Pages 61-61
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    2. Visuomotor Mapping Based on Hering’s Law for a Redundant Active Stereo Head and a 3 DOF Arm

      • Flavio Mutti, Giuseppina Gini
      Pages 63-74

    3. A Distributed Multi-level PSO Control Algorithm for Autonomous Underwater Vehicles

      • Raffaele Grandi, Claudio Melchiorri
      Pages 75-90

    4. A Novel Communication Technique for Nanobots Based on Acoustic Signals

      • Valeria Loscrí, Enrico Natalizio, Valentina Mannara, Gianluca Aloi
      Pages 91-104

    5. What Could Assistance Robots Learn from Assistance Dogs?

      • Márta Gácsi, Sára Szakadát, Ádám Miklósi
      Pages 105-119

    6. Bioinspired Obstacle Avoidance Algorithms for Robot Swarms

      • Jérôme Guzzi, Alessandro Giusti, Luca M. Gambardella, Gianni A. Di Caro
      Pages 120-134

    7. Evolving Networks Processing Signals with a Mixed Paradigm, Inspired by Gene Regulatory Networks and Spiking Neurons

      • Borys Wróbel, Ahmed Abdelmotaleb, Michał Joachimczak
      Pages 135-149

    8. Algorithmically Transitive Network: Learning Padé Networks for Regression

      • Hideaki Suzuki
      Pages 150-166

  4. Molecular Scale and Bioinformatics

    1. Front Matter

      Pages 167-167
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    2. Investigation of Developmental Mechanisms in Common Developmental Genomes

      • Konstantinos Antonakopoulos, Gunnar Tufte
      Pages 169-183

    3. Improving Diffusion-Based Molecular Communication with Unanchored Enzymes

      • Adam Noel, Karen Cheung, Robert Schober
      Pages 184-198

    4. The Use of Computational Intelligence in the Design of Polymers and in Property Prediction

      • Xi Chen, Les M. Sztandera, Hugh M. Cartwright, Stephen Granger-Bevan
      Pages 199-207

    5. A Watermarking Scheme for Coding DNA Sequences Using Codon Circular Code

      • Suk-Hwan Lee, Eung-Joo Lee, Won-Joo Hwang, Ki-Ryong Kwon
      Pages 208-219

  5. Optimization

    1. Front Matter

      Pages 221-221
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Other volumes

  1. Bio-Inspired Models of Network, Information, and Computing Systems

Editors and Affiliations

  • Dalle Molle Institute for Artificial Intelligence (IDSIA), Manno-Lugano, Switzerland

    Gianni A. Di Caro

  • CNRS UMR 5169, Research Center on Animal Cognition, Université Paul Sabatier, Toulouse, France

    Guy Theraulaz

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