Stigmergy

Stigmergy (/ˈstɪɡmərdʒi/ STIG-mər-jee) is a mechanism of indirect coordination, through the environment, between agents or actions.[1] The principle is that the trace left in the environment by an individual action stimulates the performance of a succeeding action (possibly by the same agent, but in many scenarios by a different agent). Under either the planning or the evolutionary account, each action reinforces the likelihood of repetition of traits that have enhanced the net survival of previous generations of the species.[2] (The crucial distinction that the nervous systems in the relevant species are too simple to produce the observable relationships between the behaviors of earlier and later individuals on the same trail.)

Ant paths built from pheromone traces

Stigmergy is a form of self-organization. It produces complex, seemingly intelligent structures, without need for any planning, control, or even direct communication between the agents. As such it supports efficient collaboration between extremely simple agents, who lack any memory, intelligence or even individual awareness of each other.[1][3]

History

The term "stigmergy" was introduced by French biologist Pierre-Paul Grassé in 1959 to refer to termite behavior. He defined it as: "Stimulation of workers by the performance they have achieved." It is derived from the Greek words στίγμα stigma "mark, sign" and ἔργον ergon "work, action", and captures the notion that an agent’s actions leave signs in the environment, signs that it and other agents sense and that determine and incite their subsequent actions.[4][5]

Later on, a distinction was made between the stigmergic phenomenon, which is specific to the guidance of additional work, and the more general, non-work specific incitation, for which the term sematectonic communication was coined[6] by E. O. Wilson, from the Greek words σῆμα sema "sign, token", and τέκτων tecton "craftsman, builder": "There is a need for a more general, somewhat less clumsy expression to denote the evocation of any form of behavior or physiological change by the evidences of work performed by other animals, including the special case of the guidance of additional work."

Stigmergy is now one of the key[7] concepts in the field of swarm intelligence.

Stigmergic behavior in non-human organisms

Stigmergy was first observed in social insects. For example, ants exchange information by laying down pheromones (the trace) on their way back to the nest when they have found food. In that way, they collectively develop a complex network of trails, connecting the nest in an efficient way to various food sources. When ants come out of the nest searching for food, they are stimulated by the pheromone to follow the trail towards the food source. The network of trails functions as a shared external memory for the ant colony.

In computer science, this general method has been applied in a variety of techniques called ant colony optimization, which search for solutions to complex problems by depositing "virtual pheromones" along paths that appear promising.[8] In the field of artificial neural networks stigmergy can be used as a computational memory. F. Galatolo showed that a stigmergic memory can achieve the same performances of more complex and well established neural networks architectures like LSTM [9][10]

Other eusocial creatures, such as termites, use pheromones to build their complex nests by following a simple decentralized rule set. Each insect scoops up a 'mudball' or similar material from its environment, invests the ball with pheromones, and deposits it on the ground, initially in a random spot. However, termites are attracted to their nestmates' pheromones and are therefore more likely to drop their own mudballs on top of their neighbors'. The larger the heap of mud becomes, the more attractive it is, and therefore the more mud will be added to it (positive feedback). Over time this leads to the construction of pillars, arches, tunnels and chambers.[11]

Stigmergy has even been observed in bacteria, various species of which differentiate into distinct cell types and which participate in group behaviors that are guided by sophisticated temporal and spatial control systems.[12] Spectacular examples of multicellular behavior can be found among the myxobacteria. Myxobacteria travel in swarms containing many cells kept together by intercellular molecular signals. Most myxobacteria are predatory: individuals benefit from aggregation as it allows accumulation of extracellular enzymes which are used to digest prey microorganisms. When nutrients are scarce, myxobacterial cells aggregate into fruiting bodies, within which the swarming cells transform themselves into dormant myxospores with thick cell walls. The fruiting process is thought to benefit myxobacteria by ensuring that cell growth is resumed with a group (swarm) of myxobacteria, rather than isolated cells. Similar life cycles have developed among the cellular slime molds. The best known of the myxobacteria, Myxococcus xanthus and Stigmatella aurantiaca, are studied in various laboratories as prokaryotic models of development.[13]

Analysis of human behavior

Stigmergy studied in eusocial creatures and physical systems, has been proposed as a model of analyzing some robotics systems,[14] multi-agent systems,[15] communication in computer networks, and online communities.[16]

On the Internet there are many collective projects where users interact only by modifying local parts of their shared virtual environment. Wikipedia is an example of this.[17][18] The massive structure of information available in a wiki,[19] or an open source software project such as the FreeBSD kernel[19] could be compared to a termite nest; one initial user leaves a seed of an idea (a mudball) which attracts other users who then build upon and modify this initial concept, eventually constructing an elaborate structure of connected thoughts.[20][21]

In addition the concept of stigmergy has also been used to describe how cooperative work such as building design may be integrated. Designing a large contemporary building involves a large and diverse network of actors (e.g. architects, building engineers, static engineers, building services engineers). Their distributed activities may be partly integrated through practices of stigmergy.[22][23][24]

Analysis of human social movements

The rise of open source software in the 21st century has disrupted the business models of some proprietary software providers, and open content projects like Wikipedia have threatened the business models of companies like Britannica. Researchers have studied collaborative open source projects, arguing they provide insights into the emergence of large-scale peer production and the growth of gift economy.[25]

Stigmergic society

Heather Marsh, associated with the Occupy Movement, Wikileaks, and Anonymous, has proposed a new social system where competition as a driving force would be replaced with a more collaborative society.[26] This proposed society would not use representative democracy but new forms of idea and action based governance and collaborative methods including stigmergy.[27][28][29] "With stigmergy, an initial idea is freely given, and the project is driven by the idea, not by a personality or group of personalities. No individual needs permission (competitive) or consensus (cooperative) to propose an idea or initiate a project."[27]

Some at the Hong Kong Umbrella Movement in 2014 were quoted recommending stigmergy as a way forward.[30][31]

gollark: When does the guessing phase end? I MUST guess.
gollark: Oh, I hooked mgollark to it if it receives unrecognized commands via ping.
gollark: I'm sure you'd like to think so.
gollark: <@!509849474647064576> Become informed, please.
gollark: I'll inform <@!509849474647064576>.

See also

References
  1. Marsh, L.; Onof, C. (2008). "Stigmergic epistemology, stigmergic cognition" (PDF). Cognitive Systems Research. 9 (1–2): 136–149. doi:10.1016/j.cogsys.2007.06.009.
  2. Lewis, Ted G. (June 12, 2012). "Cognitive stigmergy: A study of emergence in small-group social networks". Cognitive Systems Research. 21: 7–21. doi:10.1016/j.cogsys.2012.06.002.
  3. Heylighen, Francis (December 1, 2015). "Stigmergy as a universal coordination mechanism I: Definition and components". Cognitive Systems Research. 38: 4–13. doi:10.1016/j.cogsys.2015.12.002.
  4. Bonabeau, Eric (1999). "Editor's Introduction: Stigmergy". Artificial Life. 5 (2): 95–96. doi:10.1162/106454699568692. ISSN 1064-5462.
  5. Theraulaz, Guy (1999). "A Brief History of Stigmergy". Artificial Life. 5 (2): 97–116. doi:10.1162/106454699568700. PMID 10633572.
  6. Sociobiology: The New Synthesis, E.O. Wilson, 1975/2000, p.186
  7. Parunak, H. v D. (2003). "Making swarming happen." In Proc. of Conf. on Swarming and Network Enabled Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance (C4ISR), McLean, Virginia, USA, January 2003.
  8. Zedadra, Ouarda; Jouandeau, Nicolas; Seridi, Hamid; Fortino, Giancarlo (2017-02-02). "Multi-Agent Foraging: state-of-the-art and research challenges". Complex Adaptive Systems Modeling. 5 (1): 3. doi:10.1186/s40294-016-0041-8. ISSN 2194-3206.
  9. Galatolo, Federico A.; Cimino, Mario G.C.A.; Vaglini, Gigliola (2018). "Using stigmergy to incorporate the time into artificial neural networks". Lecture Notes in Computer Science. 11308: 248–258. arXiv:1811.10574. Bibcode:2018arXiv181110574G. doi:10.1007/978-3-030-05918-7_22. ISBN 978-3-030-05917-0.
  10. Galatolo, Federico A.; Cimino, Mario G.C.A.; Vaglini, Gigliola (2019). "Using stigmergy as a computational memory in the design of recurrent neural networks". Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods. 1: 830–836. arXiv:1903.01341. Bibcode:2019arXiv190301341G. doi:10.5220/0007581508300836. ISBN 978-989-758-351-3.
  11. Beckers, R., Holland, O. E. and Deneubourg, J.L. "From local actions to global tasks: Stigmergy and collective robotics." Archived 2013-11-04 at the Wayback Machine Artificial life IV. 1994, p.181-189.
  12. Shapiro, James A. (June 1988). "Bacteria as Multicellular Organisms" (PDF). Scientific American. 258 (6): 82–89. Bibcode:1988SciAm.258f..82S. doi:10.1038/scientificamerican0688-82. Archived from the original (PDF) on 26 May 2012. Retrieved 8 September 2013.
  13. Dworkin, Martin (2007). "Lingering Puzzles about Myxobacteria" (PDF). Microbe. 2 (1): 18–23. doi:10.1128/microbe.2.18.1. Archived from the original (PDF) on 7 November 2018. Retrieved 11 September 2013.
  14. Ranjbar-Sahraei, B., Weiss G., and Nakisaee, A. (2012). A Multi-Robot Coverage Approach based on Stigmergic Communication. In Proc. of the 10th German Conference on Multiagent System Technologies, Vol. 7598, pp. 126-138.
  15. Giovanna Castellano, Mario G.C.A.Cimino, et al. A multi-agent system for enabling collaborative situation awareness via position-based stigmergy and neuro-fuzzy learning, Neurocomputing, Vol. 135 (2014) pp. 86-97
  16. Mario G.C.A. Cimino, Federico Galatolo, Alessandro Lazzeri, Gigliola Vaglini. Spikiness Assessment of Term Occurrences in Microblogs: an Approach Based on Computational Stigmergy, ICPRAM 2017
  17. Mark Elliott on stigmergy, citizen wikis, collaborative environments. YouTube. 26 August 2009.
  18. Tkacz, Nathaniel (2014). Wikipedia and the Politics of Openness. University of Chicago Press. p. 46. ISBN 978-0-226-19230-7.
  19. Infoworld: A conversation with Steve Burbeck about multicellular computing Archived 2008-12-11 at the Wayback Machine
  20. Heylighen F. (2007). Why is Open Access Development so Successful? Stigmergic organization and the economics of information Archived 2008-10-02 at the Wayback Machine, in: B. Lutterbeck, M. Baerwolff & R. A. Gehring (eds.), Open Source Jahrbuch 2007, Lehmanns Media, 2007, p. 165-180.
  21. Marko A. Rodriguez|Rodriguez M.A. (2008). A Collectively Generated Model of the World Archived 2009-01-06 at the Wayback Machine, in: Collective Intelligence: Creating a Prosperous World at Peace, eds. M. Tovey, pages 261-264, EIN Press, ISBN 0-9715661-6-X, Oakton, Virginia, November 2007
  22. Christensen, L. R. (2007). Practices of stigmergy in architectural work. In Proceedings of the 2007 international ACM Conference on Conference on Supporting Group Work (Sanibel Island, Florida, USA, November 04–07, 2007). GROUP 2007. ACM, New York, NY, 11-20.
  23. Christensen, L. R. (2008). The Logic of Practices of Stigmergy: Representational Artifacts in Architectural Design. In Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work (San Diego, CA, USA, November 8–12, 2008). CSCW '08. ACM, New York, NY, 559-568.
  24. Christensen, L. R. (2014). Practices of Stigmergy in the Building Process. Computer Supported Cooperative Work (CSCW): The Journal of Collaborative Computing and Work Practices. Vol.23, Issue 1, Pages 1- 19.
  25. "M/C Journal". media-culture.org.au.
  26. Marsh, Heather (2013-06-08). Binding Chaos: Mass collaboration on a global scale. CreateSpace Independent Publishing Platform. ISBN 9781489527684. ASIN 1489527680.
  27. Heather Marsh (2012-01-09). "A proposal for governance: Stigmergy". Archived from the original on 2016-01-17. Retrieved 2016-01-13.
  28. Heather Marsh (2011-12-24). "A proposal for governance in the post 2011 world". Archived from the original on 2013-09-01. Retrieved 2013-07-15.
  29. Heather Marsh (2012-02-22). "A proposal for governance: Concentric User Groups and Epistemic Communities". Archived from the original on 2013-08-31. Retrieved 2013-07-15.
  30. Leavenworth, Stuart (2014-11-19). "Hong Kong protesters, facing divisions, wait for police to act". McClatchy. Archived from the original on 2018-04-25. Retrieved 2018-04-24. carrying a sign board for the “Stigmergy Society.” The term refers to the social organization of anthills, in which coordination isn’t achieved by a formal leadership structure but by independent action among those with shared goals.
  31. "Occupy Central - Part 1". www.zonaeuropa.com. Retrieved 2016-01-13.

Further reading
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.