Skip to main content

Advertisement

Log in

Cultural Blankets: Epistemological Pluralism in the Evolutionary Epistemology of Mechanisms

  • Article
  • Published:
Journal for General Philosophy of Science Aims and scope Submit manuscript

Abstract

In a recently published paper, we argued that theories of cultural evolution can gain explanatory power by being more pluralistic. In his reply to it, Dennett agreed that more pluralism is needed. Our paper’s main point was to urge cultural evolutionists to get their hands dirty by describing the fine details of cultural products and by striving to offer detailed and, when explanatory, varied algorithms or mechanisms to account for them. While Dennett’s latest work on cultural evolution does marvelously well on the first point, it has only whet our appetite on the second. Accordingly, the present paper aims to show what an evolutionary explanation of culture that takes the variety of cultural evolution mechanisms seriously would look like. We will focus on the cultural evolution of social epistemic mechanisms (i.e. social mechanisms that aim to deliver epistemically valued judgements) and we will propose that Darwinian algorithms should be complemented with a cultural analogue of the error reduction mechanism proposed to account for human cognition, with a particular emphasis on the necessity to build independencies (known as “Markov blankets”) between different sub-systems in charge of tracking states of the world. To illustrate our point, we will present how the evolution of the legal system as epistemic systems can be understood as a process of building increasingly better independencies and how various criticisms of the actual legal system calls for building even more of them.

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. A Markov blanket in a Bayesian Network (Pearl 1988) is the set of nodes that surround (blankets) a given node (i.e., its parents and children, and those children’s other parents) such that the behavior of the surrounded (or ‘blanketed’) node can be fully predicted just by knowing the states of the blanket’s nodes. More on Markov blankets later in this section.

References

  • Bishop, C. (2005). Pattern recognition and machine learning. Berlin: Springer.

    Google Scholar 

  • Campbell, J. O. (2016). Universal Darwinism as a process of Bayesian inference. Frontiers in Systems Neuroscience, 10, Article 49. https://doi.org/10.3389/fnsys.2016.00049.

    Article  Google Scholar 

  • Clark, A. (2016). Surfing uncertainty: Prediction, action, and the embodied mind. New York: Oxford University Press.

    Book  Google Scholar 

  • Clark, A. (2017). How to knit your own Markov Blanket: Resisting the Second Law with Metamorphic minds. In T. Metzinger & W. Wiese (Eds.), Philosophy and predictive processing. Frankfurt am Main: MIND Group.

    Google Scholar 

  • Dennett, D. (2017). From bacteria to bach and back: The evolution of minds. New York: W.W. Norton & Co.

    Google Scholar 

  • Dennett, D. (2018). Reflections on Faucher and Poirier. In B. Huebner (Ed.), The philosophy of Daniel Dennett (pp. 290–294). New York: Oxford University Press.

    Google Scholar 

  • Dretske, F. (1981). Knowledge and the flow of information. Cambridge, MA: MIT Press.

    Google Scholar 

  • Dretske, F. (1988). Explaining behavior: Reasons in a world of causes. Cambridge, MA: MIT Press.

    Google Scholar 

  • Eberhardt, J. L., Davies, P. G., Purdie-Vaughns, V. J., & Johnson, S. L. (2006). Looking deathworthy: Perceived stereotypicality of Black defendants predicts capital-sentencing outcomes. Psychological Science, 17(5), 383–386.

    Article  Google Scholar 

  • Faucher, L., & Poirier, P. (2018). Mother culture, meet mother nature. In B. Huebner (Ed.), The philosophy of Daniel Dennett (pp. 254–289). New York: Oxford University Press.

    Google Scholar 

  • Frank, S. A. (2012). Natural selection. V. How to read the fundamental equations of evolutionary change in terms of information theory. Journal of Evolutionary Biology, 25(12), 2377–2396.

    Article  Google Scholar 

  • Friston, K. (2005). A theory of cortical responses. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 360(1456), 815–836.

    Article  Google Scholar 

  • Friston, K., & Buzsáki, G. (2016). The functional anatomy of time: What and when in the brain. Trends in Cognitive Sciences, 20(7), 500–511.

    Article  Google Scholar 

  • Goldman, A. (1999). Knowledge in a social world. New York: Oxford University Press.

    Book  Google Scholar 

  • Goldman, A. (2009). Social epistemology: Theory and applications. Royal Institute of Philosophy Supplement, 64, 1–18.

    Article  Google Scholar 

  • Haack, S. (2014). Evidence matters: Science, proof, and the truth in law. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Hinton, G., Osindero, S., & Teh, Y. (2006). A fast learning algorithm for deep belief nets. Neural Computation, 18(7), 1527–1554.

    Article  Google Scholar 

  • Hohwy, J. (2013). The predictive mind. New York: Oxford University Press.

    Book  Google Scholar 

  • Hohwy, J. (2016). The self-evidencing brain. Noûs, 50(2), 259–285.

    Article  Google Scholar 

  • Huebner, B. (Ed.). (2018). The philosophy of Daniel Dennett. New York: Oxford University Press.

    Google Scholar 

  • Kerr, M. H., Forsyth, R. D., & Plyley, M. J. (1992). Cold water and hot iron: Trial by ordeal in England. Journal of Interdisciplinary History, 23(4), 573–595.

    Article  Google Scholar 

  • Kirchhoff, M., Parr, T., Palacios, E., Friston, K., & Kiverstein, J. (2018). The Markov Blankets of life: Autonomy, active inference and the free energy principle. Journal of the Royal Society Interface, 15(138). https://doi.org/10.1098/rsif.2017.0792.

  • Klerman, D. (2003). Was the Jury Ever self informing? In M. Mulholland & B. Pullan (with A. Pullan) (Eds.), Judicial tribunals in England and Europe (12001700): The trial in history (pp. 58–80), Manchester: Manchester University Press.

  • Koppl, R. (2007). CSI for real: How to improve forensic science. Los Angeles: Reason Foundation.

    Google Scholar 

  • Koppl, R., & Sacks, M. (2013). The criminal justice system creates incentives for false convictions. Criminal Justice Ethics, 32(2), 126–162.

    Article  Google Scholar 

  • Lacy, J., & Stark, C. (2013). The neuroscience of memory: Implications for the courtroom. Nature Reviews Neuroscience, 14(9), 649–658.

    Article  Google Scholar 

  • Laudan, L. (2001). Epistemic crises and justification rules. Philosophical Topics, 29(1/2), 271–317.

    Article  Google Scholar 

  • Laudan, L. (2006). Truth, error, and criminal law: An essay in legal epistemology (Cambridge studies in philosophy and law). Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Laudan, L. (2012). Eyewitness identifications: One more lesson on the costs of excluding relevant evidence. Perspectives on Psychological Science, 7(3), 272–274.

    Article  Google Scholar 

  • Loftus, E. (1979). Eyewitness testimony. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Millikan, R. (1984). Language, thought and other biological categories. Cambridge, MA: MIT Press.

    Google Scholar 

  • Mnookin, J. L. (2010). The courts, the NAS, and the future of forensic science. Brooklyn Law Review, 75(4), 1209–1275.

    Google Scholar 

  • Mnookin, J. L., Cole, S. A., Dror, I. E., Fisher, B. A. J., et al. (2011). The need for a research culture in the forensic sciences. UCLA Law Review, 58(3), 725–779.

    Google Scholar 

  • National Academy of Sciences. (2009). Strengthening forensic science in the United States: A path forward. Washington, DC: National Academies Press.

    Google Scholar 

  • Palacios, E. R., Razi, A., Parr, T., Kirchhoff, M., & Friston, K. (2017). Biological self-organisation and Markov blankets. BioRxiv. https://doi.org/10.1101/227181.

    Article  Google Scholar 

  • Pearl, J. (1988). Probabilistic reasoning in intelligent systems: Networks of plausible inference. San Mateo, CA: Morgan Kaufmann.

    Google Scholar 

  • Quine, W. V. (1969). Ontological relativity and other essays. New York: Columbia University Press.

    Book  Google Scholar 

  • Ramstead, M. J. D., Badcock, P. B., & Friston, K. J. (2017). Answering Schrodinger’s question: A free-energy formulation. Physics of Life Reviews, 24, 1–16. https://doi.org/10.1016/j.plrev.2017.09.001.

    Article  Google Scholar 

  • Shermer, M. (2015). Forensic pseudoscience. Scientific American, 313(3), 95.

    Article  Google Scholar 

  • Sterelny, K. (2003). Thought in a hostile world: The evolution of human cognition. Hoboken: Wiley.

    Google Scholar 

  • Stich, S. (1990). The fragmentation of reason: Preface to a pragmatic theory of cognitive evaluation. Cambridge, MA: MIT Press.

    Google Scholar 

Download references

Acknowledgements

The authors wish to thank the anonymous reviewers as well as Axel Constant for their valuable remarks and suggestions on ways to improve this paper. We also would like to thank Amanda Leigh Cox for her diligent proofreading.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luc Faucher.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Poirier, P., Faucher, L. & Bourdon, JN. Cultural Blankets: Epistemological Pluralism in the Evolutionary Epistemology of Mechanisms. J Gen Philos Sci 52, 335–350 (2021). https://doi.org/10.1007/s10838-019-09472-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10838-019-09472-8

Keywords

Navigation