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Biologically-Inspired Collaborative Computing

IFIP 20th World Computer Congress, Second IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing, September 8-9, 2008, Milano, Italy

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Mike Hinchey

    1. Lero-the Irish Software Engineering Research Center, University of Limerick, Ireland

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  2. Anastasia Pagnoni

    1. Università degli Studi di Milano, Italy

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  3. Franz J. Rammig

    1. Universität Paderborn, Germany

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  4. Hartmut Schmeck

    1. Karlsruhe Institute of Technology, Germany

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  • The papers in this volume were peer-reviewed and carefully selected
  • Much information in this series is published in advance of journal publication
  • The contributors in this volume are world-renowned experts in their field
  • Includes supplementary material: sn.pub/extras

Part of the book series: IFIP Advances in Information and Communication Technology (IFIPAICT, volume 268)

Included in the following conference series:

Conference proceedings info: BICC 2008.

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About this book

“Look deep into nature and you will understand everything better.” advised Albert Einstein. In recent years, the research communities in Computer Science, Engineering, and other disciplines have taken this message to heart, and a relatively new field of “biologically-inspired computing” has been born. Inspiration is being drawn from nature, from the behaviors of colonies of ants, of swarms of bees and even the human body. This new paradigm in computing takes many simple autonomous objects or agents and lets them jointly perform a complex task, without having the need for centralized control. In this paradigm, these simple objects interact locally with their environment using simple rules. Applications include optimization algorithms, communications networks, scheduling and decision making, supply-chain management, and robotics, to name just a few. There are many disciplines involved in making such systems work: from artificial intelligence to energy aware systems. Often these disciplines have their own field of focus, have their own conferences, or only deal with specialized s- problems (e.g. swarm intelligence, biologically inspired computation, sensor networks). The Second IFIP Conference on Biologically-Inspired Collaborative Computing aims to bridge this separation of the scientific community and bring together researchers in the fields of Organic Computing, Autonomic Computing, Self-Organizing Systems, Pervasive Computing and related areas. We are very pleased to have two very important keynote presentations: Swarm Robotics: The Coordination of Robots via Swarm Intelligence Principles by Marco Dorigo (Université Libre de Bruxelles, Belgium), of which an abstract is included in this volume.

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Table of contents (21 papers)

  1. Collaboration

    1. A Model of Self-Organizing Collaboration

      • Rumen Andreev
      Pages 223-232

    2. Guiding Exploration by Combining Individual Learning and Imitation in Societies of Autonomous Robots

      • Willi Richert, Oliver Niehörster, Florian Klompmaker
      Pages 233-244

  2. Back Matter

    Pages 245-246
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Editors and Affiliations

  • Lero-the Irish Software Engineering Research Center, University of Limerick, Ireland

    Mike Hinchey

  • Università degli Studi di Milano, Italy

    Anastasia Pagnoni

  • Universität Paderborn, Germany

    Franz J. Rammig

  • Karlsruhe Institute of Technology, Germany

    Hartmut Schmeck

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