Skip to main content
Log in

Boundary objects, trading zones, and stigmergy: the social and the cognitive in science

  • Original Research
  • Published:
Synthese Aims and scope Submit manuscript

Abstract

The main proposal of this paper is that boundary objects and the trading zones in which they occur are the analogue of pheromone trails in the foraging of a termite colony. The colony can be construed as a stigmergic system where the traces of the actions of individual termites coordinate their further actions without the existence of any central control or planning structures. The coordinated systems approach proposed by this paper lends support to the idea that such a system is minimally cognitive in the sense that it is responsible for goal-directed behaviour. Boundary objects and trading zones in scientific practice play a similar functional role to pheromone traces because they are responsible for the same kind of coordination. This approach therefore provides a cognitive account of the social notions of boundary object and trading zone without making representationalist or computationalist assumptions. Moreover, it is scale-invariant—the same analytical technique can be applied at multiple scales simultaneously. It therefore provides a framework for an understanding of the complementarity of cognitive and social approaches to scientific investigation and points to areas for further ethnographic research.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. “Die Teleologie ist eine Dame, ohne die kein Biologe leben kann. Er scheut sich jedoch, sich mit ihr in der Öffentlichkeit zu zeigen”.

  2. In two articles under review I discuss attunement, roles and show how role distribution itself may also be coordinated through environmental variables.

  3. I use ‘processing’ as a metaphor – this account is not committed to a standard information processing reading of complexity.

  4. I want to thank an anonymous reviewer for pointing out that a pidgin may also be thought of as coordinating actions without reference to its traditional linguistic role.

  5. As an afterthought here, keeping in mind the idea of the relation between a specimen and its ideal type, perhaps the insights of Star and Griesemer (and Bowker and Star) should be modified to include the possibility that there are boundary relations, that play the same kind of role as boundary objects (Bowker and Star, 1999; Star and Griesemer, 1989). This is supported by the fact that many examples of stigmergic trace variables in the wild are actually relational (see Sims and Yilmaz, 2023).

  6. The work of Joseph Henrich suggests that falsehoods make rather good coordinators too! (2016).

  7. My thanks to an anonymous reviewer for pointing this out.

References

  • Barrett, L. (2019). Supercharged apes versus super-sized minds: embracing continuity while accepting difference. In M. Colombo, E. Irvine, & M. Stapleton (Eds.), Andy Clark and his critics. Oxford University Press.

    Google Scholar 

  • Beer, R. D. (1995). A dynamical-systems perspective on agent environment interaction. Artificial Intelligence, 72(1–2), 173–215.

    Google Scholar 

  • Beer, R. D. (2000). Dynamical approaches to cognitive science. Trends in Cognitive Sciences, 4(3), 91–99.

    Google Scholar 

  • Bickhard, M. H. (2009a). The interactivist model. Synthese, 166(3), 547–591.

    Google Scholar 

  • Bickhard, M. H. (2009b). Interactivism: A manifesto. New Ideas in Psychology, 27(1), 85–95.

    Google Scholar 

  • Bowker, G. C., & Star, S. L. (1999). Sorting things out: Classification and its consequences. MIT Press.

    Google Scholar 

  • Bratman, M. (2022). Shared and institutional agency: Toward a planning theory of human practical organization. Oxford University Press.

    Google Scholar 

  • Brooks, R. (1991). Intelligence without representation. Artificial Intelligence, 47(1–3), 139–159.

    Google Scholar 

  • Chang, H. (2022). Realism for realistic people: A new pragmatist philosophy of science. Cambridge University Press. https://doi.org/10.1017/9781108635738

    Book  Google Scholar 

  • Christensen, W. (1996). A complex systems theory of teleology. Biology & Philosophy, 11(3), 301–320.

    Google Scholar 

  • Craver, C. F. (2007). Explaining the brain: Mechanisms and the mosaic unity of neuroscience. Oxford University Press.

    Google Scholar 

  • Craver, C. F., & Kaplan, D. M. (2020). Are more details better? On the norms of completeness for mechanistic explanations. British Journal for the Philosophy of Science, 71(1), 287–319.

    Google Scholar 

  • Dorigo, M., Maniezzo, V., & Colorni, A. (1996). Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 26(1), 29–41.

    Google Scholar 

  • Galison, P. (1997). Image and logic: A material culture of microphysics. University of Chicago Press.

    Google Scholar 

  • Gallagher, S., & Crisafi, A. (2009). Mental institutions. Topoi-an International Review of Philosophy, 28(1), 45–51.

    Google Scholar 

  • Giere, R. N. (1988). Explaining science: A cognitive approach. The University of Chicago Press.

    Google Scholar 

  • Giere, R. N. (2002). Scientific cognition as distributed cognition. In P. Carruthers, S. P. Stich, & M. Siegal (Eds.), The cognitive basis of science. Cambridge University Press.

    Google Scholar 

  • Giere, R. N. (2002b). Discussion note: Distributed cognition in epistemic cultures. Philosophy of Science, 69(4), 637–644.

    Google Scholar 

  • Giere, R. N. (2006). The role of agency in distributed cognitive systems. Philosophy of Science, 73(5), 710–719.

    Google Scholar 

  • Giere, R. N. (2013). Distributed cognition without distributed knowing. Springer.

    Google Scholar 

  • Giere, R. N., & Moffatt, B. (2003). Distributed cognition: Where the cognitive and the social merge. Social Studies of Science, 33(2), 301–310.

    Google Scholar 

  • Gilovich, T., Griffin, D., & Kahneman, D. (Eds.). (2002). Heuristics and biases: The psychology of intuitive judgment. Cambridge University Press.

    Google Scholar 

  • Godfrey-Smith, P. (2016). Individuality, subjectivity, and minimal cognition. Biology & Philosophy, 31(6), 775–796.

    Google Scholar 

  • Goldstone, R. L., & Theiner, G. (2017). The multiple, interacting levels of cognitive systems (MILCS) perspective on group cognition. Philosophical Psychology, 30(3), 334–368.

    Google Scholar 

  • Grassé, P.-P. (1959). La reconstruction du nid et les coordinations interindividuelles chez Bellicositermes natalensis et Cubitermes sp. la théorie de la stigmergie: Essai d’interprétation du comportement des termites constructeurs. Insectes Sociaux, 6(1), 41–80.

    Google Scholar 

  • Henrich, J. P. (2016). The secret of our success: How culture is driving human evolution, domesticating our species, and making us smarter. Princeton University Press.

    Google Scholar 

  • Heylighen, F. (2016). Stigmergy as a universal coordination mechanism I: Definition and components. Cognitive Systems Research, 38, 4–13.

    Google Scholar 

  • Hutchins, E. (1991). The social organisation of distributed cognition. In L. B. Resnick, J. M. Levine, & S. D. Teasley (Eds.), Perspectives on socially shared cognition. American Psychological Association.

    Google Scholar 

  • Hutchins, E. (1995a). Cognition in the wild. MIT Press.

    Google Scholar 

  • Hutchins, E. (1995b). How a cockpit remembers its speeds. Cognitive Science, 19(3), 265–288.

    Google Scholar 

  • Hutchins, E. (2011). Enculturating the supersized mind. Philosophical Studies, 152(3), 437–446.

    Google Scholar 

  • Hutto, D. D., & Myin, E. (2013). Radicalizing enactivism: Basic minds without content. MIT Press.

    Google Scholar 

  • Hutto, D. D., & Myin, E. (2017). Evolving enactivism: Basic minds meet content. M.I.T. Press.

    Google Scholar 

  • Hutto, D. D., & Satne, G. (2015). The natural origins of content. Philosophia, 43(3), 521–536.

    Google Scholar 

  • Hutto, D. D., & Satne, G. (2017). Continuity skepticism in doubt. In C. Durt, T. Fuchs, & C. Tewes (Eds.), Embodiment, enaction, and culture. M.I.T. Press.

    Google Scholar 

  • Kahneman, D. (2011). Thinking fast and slow. Ferar, Straus and Giroux.

    Google Scholar 

  • Kahneman, D., & Tversky, A. (Eds.). (2000). Choices, values, and frames. Cambridge University Press.

    Google Scholar 

  • Kaplan, D. M. (2012). How to demarcate the boundaries of cognition. Biology & Philosophy, 27(4), 545–570.

    Google Scholar 

  • Kaplan, D. M., & Bechtel, W. (2011). Dynamical models: An alternative or complement to mechanistic explanations? Topics in Cognitive Science, 3(2), 438–444.

    Google Scholar 

  • Keijzer, F. (2001). Representation and behaviour. M.I.T. Press.

    Google Scholar 

  • Kirchhoff, M. (2012). Extended cognition and fixed properties: Steps to a third-wave version of extended cognition. Phenomenology and the Cognitive Sciences, 11(2), 287–308.

    Google Scholar 

  • Kirchhoff, M. (2015a). Cognitive assembly: Towards a diachronic conception of composition. Phenomenology and the Cognitive Sciences, 14(1), 33–53.

    Google Scholar 

  • Kirchhoff, M. (2015). Extended cognition & the causal-constitutive fallacy: In search for a diachronic and dynamical conception of constitution. Philosophy and Phenomenological Research, 90(2), 320–360.

    Google Scholar 

  • Latour, B. (1987). Science in action: How to follow scientists and engineers through society. Harvard University Press.

    Google Scholar 

  • Latour, B. (1999). Pandoras hope; essays on the reality of science studies. Harvard University Press.

    Google Scholar 

  • Lepola, A., Karkkainen, H., Jalo, H., & Torro, O. (2020) Collaborative virtual reality as an adaptable boundary object in the design phase of facility life cycle. In Salgado, A., Bernardino, J., & Filipe, J. (Eds.), Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (Kmis) (Vol. 3). Scitepress. https://doi.org/10.5220/0010020200630075.

  • Lyon, P. (2020). Of what is ‘minimal cognition’ the half-baked version? Adaptive Behavior, 28(6), 407–424.

    Google Scholar 

  • Magnus, P. D. (2007). Distributed cognition and the task of science. Social Studies of Science, 37(2), 297–310.

    Google Scholar 

  • Magnus, P. D., & McClamrock, R. (2015). Friends with benefits! Distributed cognition hooks up cognitive and social conceptions of science. Philosophical Psychology, 28(8), 1114–1127.

    Google Scholar 

  • Nicholson, D. J. (2013). Organisms <> machines. Studies in History and Philosophy of Biological and Biomedical Sciences, 44, 669–678.

    Google Scholar 

  • Nicholson, D. J. (2014). The machine conception of the organism in development and evolution: A critical analysis. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 48(PB), 162–174.

    Google Scholar 

  • Parunak, H. V. D. (2006). A survey of environments and mechanisms for human-human stigmergy. In D. Weyns, H. V. D. Parunak, & F. Michel (Eds.), Environments for multi-agent systems II. (Vol. 3830). Springer.

    Google Scholar 

  • Rambusch, J., Susi, T., & Ziemke, T. (2004) Artefacts as mediators of distributed social cognition: A case study. In Forbus, K., Gentner, D., and Regier, T. (Eds.), Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum Assoc Publ.

  • Resnick, M. (1997). Turtles, termites, and traffic jams: Explorations in massively parallel microworlds. MIT.

    Google Scholar 

  • Ritchie, K. (2020). Minimal cooperation and group roles. In A. Fiebich (Ed.), Minimal cooperation and shared agency (1st ed.). Springer.

    Google Scholar 

  • Rothschuh, K. E. (1953). Gesichte der physiologie. Springer.

    Google Scholar 

  • Satne, G. (2016). A two-step theory of the evolution of human thinking: Joint and (various) collective forms of intentionality. Journal of Social Ontology, 2(1), 105–116.

    Google Scholar 

  • Sellberg, C., & Susi, T. (2014). Technostress in the office: A distributed cognition perspective on human-technology interaction. Cognition Technology & Work, 16(2), 187–201.

    Google Scholar 

  • Sims, R. (2022). Getting their acts together: A coordinated systems approach to extended cognition, PhD Thesis. University of Exeter.

  • Sims, R. (2023). Minimal cognition and stigmergic coordination: An everyday tale of building and bacteria. Cognitive Systems Research, 79, 156–164.

    Google Scholar 

  • Sims, R., & Yilmaz, O. (2023). Stigmergic coordination and minimal cognition in plants. Adaptive Behavior, 31(3), 265–279.

    Google Scholar 

  • Sismondo, S. (2012). Trading zones and interactional expertise: Creating new kinds of collaboration. Technology and Culture, 53(3), 696–697.

    Google Scholar 

  • Slors, M. (2019). Symbiotic cognition as an alternative for socially extended cognition. Philosophical psychology., 32(8), 1179–203.

    Google Scholar 

  • Slors, M. V. P. (2021). A cognitive explanation of the perceived normativity of cultural conventions. Mind & Language. https://doi.org/10.1111/mila.12265

    Article  Google Scholar 

  • Star, S. L., & Griesemer, J. (1989). Institutional ecology, translations and boundary objects—Amateurs and professionals in Berkeleys-Museum-of-Vertebrate-Zoology, 1907–39. Social Studies of Science, 19(3), 387–420.

    Google Scholar 

  • Susi, T. (2006). The puzzle of social activity: The significance of tools in cognition and cooperation, PhD. Linköping, Linköping.

  • Thaler, R., & Sundstein, C. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.

    Google Scholar 

  • Theiner, G. (2014). A beginner’s guide to group minds. In M. Sprevak & J. Kallestrup (Eds.), New waves in philosophy of mind. Palgrave Macmillan.

    Google Scholar 

  • Theraulaz, G., & Bonabeau, E. (1999). A brief history of stigmergy. Artificial Life, 5(2), 97–116.

    Google Scholar 

  • Tolman, E. C., & Brunswik, E. (1935). The organism and the causal texture of the environment. Psychological Review, 42, 43–77.

    Google Scholar 

  • Toon, A. (2014). Friends at last? Distributed cognition and the cognitive/social divide. Philosophical Psychology, 27(1), 112–125.

    Google Scholar 

  • Turner, J. S. (2000). The extended organism: The physiology of animal-built structures. Harvard University Press.

    Google Scholar 

  • Turner, J. S. (2004). Extended phenotypes and extended organisms. Biology & Philosophy, 19(3), 327–352.

    Google Scholar 

  • Turner, J. S. (2009). The Tinkerer’s accomplice: How design emerges from life itself. Harvard University Press.

    Google Scholar 

  • Turner, J. S. (2011). Termites as models of swarm cognition. Swarm Intelligence, 5(1), 19–43.

    Google Scholar 

  • Turner, J. S. (2013). Superorganisms and superindividuality: The emergence of individuality in a social insect assemblage. In F. Bouchard & P. Huneman (Eds.), From groups to individuals: Evolution and emerging individuality. Cambridge: The MIT Press.

    Google Scholar 

  • Turner, J. S. (2016). Semiotics of a superorganism. Biosemiotics, 9(1), 85–102.

    Google Scholar 

  • Turner, J. S., & Soar, R. C. (2008) Beyond biomimicry: What termites can tell us about realising the living building. In Wallis, I., Bilan, L., Smith, M., and Kazi, A. S. (Eds.), I3CON BSRIA. Presented at the First international conference on industrialised intelligent construction Loughborough University.

  • Vaesen, K. (2011). Giere’s (in)appropriation of distributed cognition. Social Epistemology, 25(4), 379–391.

    Google Scholar 

  • van Duijn, M., Keijzer, F., & Franken, D. (2006). Principles of minimal cognition: Casting cognition as sensorimotor coordination. Adaptive Behavior, 14(2), 157–170.

    Google Scholar 

  • van Gelder, T. (1998) The dynamical hypothesis in cognitive science. Behavioral and Brain Sciences, 21(5), 615–+.

  • van Gelder, T. (1999a). What might cognition be, if not computation. In Lycan, W. (Ed.), Mind and cognition (2nd ed.). Oxford: Blackwell.

  • van Gelder, T. (1999). Dynamical approaches to cognition. In R. A. Wilson & F. C. Keil (Eds.), The MIT encyclopedia of the cognitive sciences. M.I.T. Press.

    Google Scholar 

  • van Gelder, T., & Port, R. F. (1995). It’s about time: An overview of the dynamical approach to cognition. In R. F. Port & T. van Gelder (Eds.), Mind as motion: Explorations in the dynamics of cognition. M.I.T. Press.

    Google Scholar 

  • von Uexkull, J., & O’Neil, J. D. (2010). A foray into the worlds of animals and humans: With a theory of meaning. University of Minnesota Press.

    Google Scholar 

  • Walsh, D. M. (2015). Organisms, agency, and evolution. Cambridge University Press.

    Google Scholar 

  • Wickman, C. (2015). Trading zones in technical and scientific communication. In 2015 IEEE International Professional Communication Conference (IPCC). IEEE.

Download references

Acknowledgements

The author would like to thank two anonymous reviewers whose comments helped make this a much better paper.

Funding

The author received no funding during the preparation of this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ric Sims.

Ethics declarations

Conflict of interest

The author has no financial or non-financial interests to declare.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sims, R. Boundary objects, trading zones, and stigmergy: the social and the cognitive in science. Synthese 202, 117 (2023). https://doi.org/10.1007/s11229-023-04340-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11229-023-04340-x

Keywords

Navigation