Article published In: Pragmatics & Cognition
Vol. 22:3 (2014) ► pp.309–324
Gossip as a model of inference to composite hypotheses
Published online: 29 September 2016
https://doi.org/10.1075/pc.22.3.02ber
https://doi.org/10.1075/pc.22.3.02ber
In this paper we seek an inferential and cognitive model explaining some characteristics of abduction to composite hypotheses. In the first section, we introduce the matter of composite hypotheses, stressing how it is coherent with the intuitive and philosophical contention that a single event can be caused not only by several causes acting together, but also by several kinds of causation. In the second section, we argue that gossip could serve as an interesting model to study the generation of composite hypotheses at a larger scale: several characteristics of gossip (for instance its being diluted over time and its collaborative dimension) make it extremely prone to produce composite hypotheses considering different levels of causation. In the third and final section, we try to illustrate some specificities of abduction to composite hypotheses for individual agents basing on the analysis of collective agents.
Keywords: abduction, gossip., social cognition, composite hypotheses, causal reasoning
References (36)
Allemang, D., Tanner, M.C., Bylander, T., & Josephson, J.R. (1987). Computational complexity of hypothesis assembly. In Proceedings of the Lentil International Joint Conference on Artificial Intelligence (Vol. 21), pp. 1112–1119.
Atran, S. (2002). In Gods We Trust: The Evolutionary Landscape of Religion. Cambridge: Oxford University Press.
Ayim, M. (1994). Knowledge through the grapevine: Gossip as inquiry. In R.F. Goodman & A. Ben-Ze’ev (Eds.), Good Gossip (pp. 85–99). Lawrence, Kansas: University Press of Kansas.
Bardone, E. & Magnani, L. (2010). The appeal of gossiping fallacies and its eco-logical roots. Pragmatics & Cognition, 18(2), 365–396.
Beersma, B., & Van Kleef, G.A. (2011). How the grapevine keeps you in line: Gossip increases contributions to the group. Social Psychological and Personality Science, 2(6), 642–649.
Bertolotti, T. (2012). From mindless modeling to scientific models: The case of emerging models. In L. Magnani & P. Li (Eds.), Philosophy and Cognitive Science: Western & Eastern Studies (pp. 75–104). Heidelberg/Berlin: Springer.
Bertolotti, T., & Magnani, L. (2014). An epistemological analysis of gossip and gossip based knowledge. Synthese, 1911, 4037–4067.
. (2010). The role of agency detection in the invention of supernatural beings: An abductive approach. In L. Magnani, W. Carnielli & C. Pizzi (Eds.), Model-Based Reasoning in Science and Technology. Abduction, Logic, and Computational Discovery (pp. 195–213). Heidelberg/Berlin: Springer.
Bylander, T., & Mittal, S. (1986). CRSL: A language for classificatory problem solving and uncertainty handling. AI Magazine, 7(3), 66–77.
Clark, A. (2005). Word, niche and super-niche: How language makes minds matter more. Theoria, 541, 255–268.
Dunbar, R. (2004). Gossip in an evolutionary perspective. Review of General Psychology, 8(2), 100–110.
Foster, E.K. (2004). Research on gossip: Taxonomy, methods and future directions. Review of General Psychology, 8(2), 78–99.
Gigerenzer, G., & Brighton, H. (2009). Homo heuristicus: Why biased minds make better inferences. Topics in Cognitive Science, 11, 107–143.
Gigerenzer, G., & Selten, R. (2002). Bounded Rationality. The Adaptive Toolbox. Cambridge, MA: The MIT Press.
Goodman, R.F., & Ben-Ze’ev, A. (Eds.). (1994). Good Gossip. Lawrence, Kansas: University Press of Kansas.
Hammond, K.R. & Steward, T.R. (Eds.) (2001) The Essential Brunswik: Beginnings, Explications, Applications. Oxford: Oxford University Press.
Josephson, J.R., Chandrasekharan, S., Smith, J.W.J., & Tanner, M.C. (1987). A mechanism for forming composite explanatory hypotheses. IEEE Transactions on Systems, Man and Cybernetics, 17(3), 445–454.
Josephson, J.R., & Josephson, S.G. (Eds.). (1994). Abductive Inference. Computation, Philosophy, Technology. Cambridge: Cambridge University Press.
Kelemen, D. (2005). Are children “intuitive theists”? Reasoning about purpose and design in nature. Psychological Science, 15(5), 295–301.
Kelso, J.A.S. (2009). Synergies: Atoms of brain and behavior. In D. Sternad (Ed.), Progress in Motor Control (pp. 83–91). Berlin/Heidelberg: Springer.
Kim, J.H., & Pearl, J. (1983). A computational model for causal and diagnostic reasoning in inference systems. In
Proceedings of the Eighth International Joint Conference on Artificial Intelligence
(Vol. 11, pp. 190–194).
Kominsky, J.F., Phillips, J., Gerstenberg, T., Lagnado, D., & Knobe, J. (2014). Causal supersession. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
Magnani, L. (2015). The eco-cognitive model of abduction. ‘Apagwgh¯ now: Naturalizing the Logic of Abduction. Journal of Applied Logic, 131, 285–315.
. (2013). Is abduction ignorance-preserving? Conventions, models, and fictions in science. Logic Journal of the IGPL, 21(6), 882–914.
. (2009). Abductive Cognition: The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning. Berlin/Heidelberg: Springer.
Mithen, S. (1999). Handaxes and ice age carvings: Hard evidence for the evolution of consciousness. In A. Hameroff, A. Kaszniak, & D. Chalmers (Eds.), Toward a Science of Consciousness III: The Third Tucson Discussions and Debates (pp. 281–296). Cambridge: MIT Press.
. (1996). The Prehistory of the Mind. A Search for the Origins of Art, Religion, and Science. London: Thames and Hudson.
Peirce, C.S. (1931–1958). Collected Papers of Charles Sanders Peirce (vols. 1-61, C. Hartshorne & P. Weiss (Eds.); vols. 7-81, A.W. Burks (Ed.)) Cambridge: Harvard University Press.
Shadish, W.R., Cook, T.D., & Campbell, D.T. (2002). Experimental and QuasiExperimental Designs for Generalized Causal Inference. Boston / New York: Houghton Mifflin.
Simon, H. (1955). A behavioral model of rational choice. The American Economic Review, 69(1), 99–118.
