Skip to main content

An Approach to Stigmergy Issues Based on the Recursive Application of Binary Neighbouring Rules

  • Conference paper
New Perspectives in Information Systems and Technologies, Volume 1

Abstract

In this paper we define a set of binary neighbouring rules that can model the elementary action performed by an agent on its environment. The recursive application of the rules provide time sequences (behavioural patterns) which have the capability to model cues since they mimic both the interpretation of the message by an agent and its following behaviour triggered by the interpreted message. The structural analysis of the cues provides the key for the generation of social communication and provides a means to mimic a stigmergy structure.

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 219.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
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. Prigogine, I.: The End of Certainty. The Free Press, New York (1997)

    Google Scholar 

  2. Chapouthier, G.: Mosaic structures – a working hypothesis for the complexity of living organisms, E-Logos. Electronic Journal for Philosophy 17 (2009)

    Google Scholar 

  3. Zayed, J.M., Nouvel, N., Rauwald, U., Scherman, O.A.: Chemical Complexity – supramolecular self-assembly of synthetic and biological building blocks in water. Chemical Society Reviews 39, 2806–2816 (2010)

    Article  Google Scholar 

  4. Solomon, S., Shir, E.: Complexity; a science at 30 (2003)

    Google Scholar 

  5. Bonabeau, E., et al.: Self-organization in social insects. Trends in Ecology and Evolution 12, 188–193 (1997)

    Article  Google Scholar 

  6. Anderson, C., McShea, D.W.: Individual versus social complexity, with particular reference to ant colonies. Biol. 76, 211–223 (2001)

    Google Scholar 

  7. Polte, T.R., et al.: Extracellular matrix controls myosin light chain phosphorylation and cell contractility through modulation of cell shape and cytoskeletal prestress. Am. J. Physiol. Cell. Physiol. 286, 518–528 (2004)

    Article  Google Scholar 

  8. Werfel, J., Nagpal, R.: Extended Stigmergy in Collective Construction. IEEE Intelleigent Systems 21(2) (2006)

    Google Scholar 

  9. Grassé, P.P.: La reconstruction du nid et les coordinations inter-individuelles chez Belicositermes natalensis et Cubitermes sp. La théorie de la Stigmergie: Essai d’interprétation du comportement des termites constructeurs. Insectes Sociaux 6, 41–80 (1959)

    Article  Google Scholar 

  10. Marsh, L., Onof, C.: Stigmergic epistemology, stigmergic cognition. Cognitive Systems Research, doi:10.1016/j.cogsys.2007.06.009

    Google Scholar 

  11. Wolfram, S.: Statistical Mechanics of Cellular Automata. Reviews of Modern Physics 55, 601–644 (1983)

    Article  MATH  MathSciNet  Google Scholar 

  12. Wolfram, S.: Computation theory of cellular automata. Communications in Mathematical Physics 96, 15–57 (1984)

    Article  MATH  MathSciNet  Google Scholar 

  13. Wolfram, S.: Cellular automata as models of complexity. Nature 311(5985), 419–424 (1984)

    Article  Google Scholar 

  14. Wolfram, S.: A New Kind of Science. Wolfram Media, Inc. (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maria Teresa Signes Pont .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Pont, M.T.S., Mora, H.M., Chamizo, J.M.G. (2014). An Approach to Stigmergy Issues Based on the Recursive Application of Binary Neighbouring Rules. In: Rocha, Á., Correia, A., Tan, F., Stroetmann, K. (eds) New Perspectives in Information Systems and Technologies, Volume 1. Advances in Intelligent Systems and Computing, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-319-05951-8_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-05951-8_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05950-1

  • Online ISBN: 978-3-319-05951-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics