Biologically Inspired Cooperative Computing

1. Front Matter

   Pages i-x

   PDF

2. Biological Inspiration: Just a dream? (Invited papers)

   1. An Immune System Paradigm for the Assurance of Dependability of Collaborative Self-organizing Systems

      • Algirdas Avižienis

      Pages 1-6

   2. 99% (Biological) Inspiration ...

      • Michael G. Hinchey, Roy Sterritt

      Pages 7-20

   3. Biologically-Inspired Design: Getting It Wrong and Getting It Right

      • Steve R. White

      Pages 21-32

3. Web Organization

   1. On Building Maps of Web Pages with a Cellular Automaton

      • H. Azzag, D. Ratsimba, D. Da Costa, C. Guinot, G. Venturini

      Pages 33-42

4. Biological Inspiration 1

   1. Completing and Adapting Models of Biological Processes

      • Tiziana Margaria, Michael G. Hinchey, Harald Raffelt, James L. Rash, Christopher A. Rouff, Bernhard Steffen

      Pages 43-54

   2. The Utility of Pollination for Autonomic Computing

      • Holger Kasinger, Bernhard Bauer

      Pages 55-64

   3. Towards Distributed Reasoning for Behavioral Optimization

      • Michael Cebulla

      Pages 65-74

5. Biological Inspiration 2

   1. Ant Based Heuristic for OS Service Distribution on Ad Hoc Networks

      • Tales Heimfarth, Peter Janacik

      Pages 75-84

   2. An Artificial Hormone System for Self-organization of Networked Nodes

      • Wolfgang Trumler, Tobias Thiemann, Theo Ungerer

      Pages 85-94

   3. A Biologically Motivated Computational Architecture Inspired in the Human Immunological System to Quantify Abnormal Behaviors to Detect Presence of Intruders

      • Omar U. Flórez-Choque, Ernesto Cuadros-Vargas

      Pages 95-106

6. Chip-Design

   1. Error Detection Techniques Applicable in an Architecture Framework and Design Methodology for Autonomic SoCs

      • Abdelmajid Bouajila, Andreas Bernauer, Andreas Herkersdorf, Wolfgang Rosenstiel, Oliver Bringmann, Walter Stechele

      Pages 107-113

7. Communication

   1. A Reconfigurable Ethernet Switch for Self-Optimizing Communication Systems

      • Björn Griese, Mario Porrmann

      Pages 115-124

   2. Learning Useful Communication Structures for Groups of Agents

      • Andreas Goebels

      Pages 125-135

   3. Maintaining Communication Between an Explorer and a Base Station

      • Miroslaw Dynia, Jarosław Kutyłowski, Paweł Lorek, Friedhelm Meyer auf der Heide

      Pages 137-146

8. Mechatronics and Computer Clusters

   1. Active Patterns for Self-Optimization

      • Andreas Schmidt

      Pages 147-156

   2. Acute Stress Response for Self-optimizing Mechatronic Systems

      • Holger Giese, Norma Montealegre, Thomas Müller, Simon Oberthür, Bernd Schulz

      Pages 157-167

   3. The Self Distributing Virtual Machine (SDVM): Making Computer Clusters Adaptive

      • Jan Haase, Andreas Hofmann, Klaus Waldschmidt

      Pages 169-178

9. Robotics and Sensor Networks

   1. Teleworkbench: An Analysis Tool for Multi-Robotic Experiments

      • Andry Tanoto, Jia Lei Du, Ulf Witkowski, Ulrich Rückert

      Pages 179-188

   2. Trading off Impact and Mutation of Knowledge by Cooperatively Learning Robots

      • Willi Richert, Bernd Kleinjohann, Lisa Kleinjohann

      Pages 189-198

In the world of information technology, it is no longer the computer in the classical sense where the majority of IT applications is executed; computing is everywhere. More than 20 billion processors have already been fabricated and the majority of them can be assumed to still be operational. At the same time, virtually every PC worldwide is connected via the Internet. This combination of traditional and embedded computing creates an artifact of a complexity, heterogeneity, and volatility unmanageable by classical means. Each of our technical artifacts with a built-in processor can be seen as a ''Thing that Thinks", a term introduced by MIT's Thinglab. It can be expected that in the near future these billions of Things that Think will become an ''Internet of Things", a term originating from ETH Zurich. This means that we will be constantly surrounded by a virtual "organism" of Things that Think. This organism needs novel, adequate design, evolution, and management means which is also one of the core challenges addressed by the recent German priority research program on Organic Computing.

• artificial intelligence
• computer
• computer science
• control
• information system
• networks
• operating system
• optimization
• organization
• robot
• theoretical computer science
• time

• Georgia State University, USA

  Yi Pan

• Universität Paderborn, Germany

  Franz J. Rammig

• Universität Karlsruhe (TH), Germany

  Hartmut Schmeck

• Universidad de Santiago de Chile, Chile

  Mauricio Solar

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