Skip to main content

Dissipative Structure Network for Collective Autonomy: Spatial Decomposition of Robotic Group

  • Conference paper
Distributed Autonomous Robotic Systems 2

Abstract

Distributed autonomous system is not autonomous only because it is composed of autonomous agents. As long as the system requires constraints from outside to maintain the functionality, it is not autonomous, while composing agents are autonomous and intelligent. We consider meaning of autonomy for multi-agent system, and propose a concept of collective autonomy. In analogy to an autopoiesis in perusing collective autonomy, several characteristics are presented. We propose Dissipative Structure Network (DSN) as the framework for the collective autonomy. The importance of spatial self-organization is stressed through the discussion. As a first step for the DSN, spatial decomposition mechanism is considered. We analytically discuss a mechanism and conditions for spatial patterning and implement to the simulation based on the analitical results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Fukuda, T., Ueyama, T., CELLULAR ROBOTICS AND MICRO SYSTEMS, World Scientific in Robotics and Automated Systems-Vol.10, World Scientific, 1994.

    Google Scholar 

  2. Sekiyama, K., and Fukuda, T., Modeling and Controlling of Group Behavior Based on Self-Organizing Principle, Proc. of International Conference on Robotics and Automation, 1996.

    Google Scholar 

  3. Nicolis, G. and Prigogine, I., Self-Organization in Nonequilibrium Systems, John Wiley & Sons, Inc., 1977.

    Google Scholar 

  4. Eigen, M., and Schuster, P., The Hypercycle, Die Naturwissenschaften, 64, 541–565, Springer-Verlag, 1977.

    Google Scholar 

  5. Haken, H., Advanced Synergetics, Instability Hierarchies of Self-Organizing Systems and Devices, Springer-Verlag, 1983.

    Google Scholar 

  6. Varela, F., Principles of biological autonomy, New York: Elsevier/North-Holland, 1979.

    Google Scholar 

  7. Liang, P. and Beni, G., Robotic Morphogenesis, Proc. of IEEE International Conference on Robotics and Automation, pp. 2175–2180, 1995.

    Google Scholar 

  8. Beckers, R., Holland, O.E. and Deneubourg J.L., From Local Action to Global Tasks and Collective Robotics, 181–189, Artificial Life IV, The MIT Press., 1994.

    Google Scholar 

  9. Steels, L., Emergent functionality in robotic agents through on-line evolution, Proc. of Alife IV, pp. 8–14, Cambridge, MIT Press, 1994.

    Google Scholar 

  10. Mataric, M. J., Issues and Approaches in the Designing of Collective Autonomous Agents, Robotics and Autonomous Systems, Vol. 16, 321–331, 1995.

    Article  Google Scholar 

  11. Miyake, Y., Taga, G., Ohto, Y., et. al., Mutual-Entrainment-Based Communication Field in Distributed Autonomous Robotic System, Distributed Autonomous Robotic Systems, Springer-Verlag, pp. 310–321, 1994.

    Book  Google Scholar 

  12. Akiyama, A., and Kaneko, K., Evolution of Cooperation, Differentiation, Complexity, and Diversity in an Iterated Three-Person Game, Proc. of International Workshop on Biologically Inspired Evolutionary Systems, pp. 76–83, 1995.

    Google Scholar 

  13. Numaoka. C,. and Takeuchi, A., Collective Choice of Strategic Type, Proc. of International Conference on Simulation of Adaptive Behavior: From animals to animats 2. pp.469–477, The MIT Press/Elsevier, 1993.

    Google Scholar 

  14. Deffuant, G., Fhus, T., Monneret, E., Bourgine, P, and Varela, F., Semi-Algebraic Networks; An Attempt to Design Geometric Autopoietic Models, Artificial Life 2, 157–177, 1995.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer Japan

About this paper

Cite this paper

Sekiyama, K., Fukuda, T. (1996). Dissipative Structure Network for Collective Autonomy: Spatial Decomposition of Robotic Group. In: Asama, H., Fukuda, T., Arai, T., Endo, I. (eds) Distributed Autonomous Robotic Systems 2. Springer, Tokyo. https://doi.org/10.1007/978-4-431-66942-5_20

Download citation

  • DOI: https://doi.org/10.1007/978-4-431-66942-5_20

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-66944-9

  • Online ISBN: 978-4-431-66942-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics