Abstract
Information about the environment is captured in human biological systems on a variety of interacting levels – in distributions of genes, linguistic particulars, concepts, methods, theories, preferences, and overt behaviors. I investigate some of the basic principles which govern such a hierarchy by constructing a comparatively simple three-level selection model of bee foraging preferences and behaviors. The information-theoretic notion of ''mutual information'' is employed as a measure of efficiency in tracking a changing environment, and its appropriateness in epistemological applications is discussed at some length. In particular, information accumulated in mid-level preference distributions exhibits suggestive properties for the purposes of naturalistic epistemology. It also appears that the novelty of scientific objects and representations and the rapidity of scientific change relative to genetic change need present no obstacle to the use of such models in explanations of scientific progress and the reliability of scientific judgement.
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REFERENCES
B¨orgers, T. and Sarin, R.: 1994, Learning Through Reinforcement and Replicator Dynamics, Manuscript.
Boyd, R. and Richerson, P. J.: 1985, Culture and the Evolutionary Process, The University of Chicago Press, Chicago.
Campbell, D. T.: 1987, 1974, 'Evolutionary Epistemology', in G. Radnitzky and W. W. I. Bartley (eds), Evolutionary Epistemology, Rationality, and the Sociology of Knowledge, Open Court, La Salle, IL, pp. 47–89.
Collier, J.: 1995, Information Increase in Biological Systems: How does Adaptation Fit?, Seminar on Evolving Systems, Vienna, March 1995.
Dretske, F.: 1981, Knowledge and the Flow of Information, MIT Press, Cambridge, MA.
Dretske, F.: 1986, 'Misinformation', in R. Bogdan (ed. ), Belief: Form, Content and Function, Clarendon Press, Oxford.
Dretske, F.:1988, Explaining Behavior: Reasons in a World of Causes, MIT Press, Cambridge, MA.
Godfrey-Smith, P.: 1992, 'Indication and Adaptation', Synthese 92, 283–312.
Godfrey-Smith, P.: 1996, Complexity and the Function of Mind in Nature, Cambridge University Press.
Gould, S. J.: 1980, Sociobiology and the Theory of Natural Selection, in G. W. Barlowand J. Silverberg (eds), Sociobiology: Beyond Nature/Nurture? Westview Press, Boulder, CO, pp. 257–269.
Harms, W.: 1996, 'Cultural Evolution and the Variable Phenotype', Biology and Philosophy 11(3), 357–375.
Hofbauer, J. and Sigmund, K.: 1988, The Theory of Evolution and Dynamical Systems, Cambridge University Press.
Holland, J. H.: 1992, 1975, Adaptation in Natural and Artificial Systems, MIT Press, Cambridge, MA.
Hooker, C. A.: 1995, Reason, Regulation, and Realism: Toward a Regulatory Systems Theory of Reason and Evolutionary Epistemology, SUNY Series in Philosophy and Biology, State University of New York Press, New York.
Hull, D.: 1988, 'A Mechanism and its Metaphysics: An Evolutionary Account of the Social and Conceptual Development of Science', Biology and Philosophy 2(3), 123–156.
Hull, D.: 1988, Science as a Process, University of Chicago Press.
Lamb, J. M. and Wells, H.: 1995, 'Honey Bee (Apis Mellifera) Use of Flower Form in Making Foraging Choices', Journal of the Kansas Entomological Society 68(4), 388–398.
Millikan, R. G.: 1984, Language, Thought. and Other Biological Categories: New foundations for realism, A Bradford Book, MIT Press, Cambridge, MA.
Millikan, R. G.: 1989, 'Biosemantics', Journal of Philosophy 86(6), 288–302.
Montague, P. R., Dayan, P., Person, C. and Sejnowski, T. J.: 1995, 'Bee Foraging in Uncertain Environments Using Predictive Hebbian Learning', Nature 377, 725–728.
Montague, P. R., Dayan, P. and Sejnowski, T. J.: 1996, 1936–1947, 'A Framework for Mensencephalic Dopamine Systems Based on Predictive Hebbian Learning', The Journal of Neuroscience 16(5).
Petrikin, J. and Wells, H.: 1995, 'Honey Bee (Apis mellifera) Use of Flower Pigment Patterns in Making Foraging Choices', Journal of the Kansas Entomological Society 68(4), 377–387.
Popper, K. R.: 1965, Conjectures and refutations: The growth of scientific knowledge, 2nd ed., Basic, New York.
Real, L. A.: 1991, 'Animal Choice Behavior and the Evolution of Cognitive Architecture', Science 253, 980–986.
Real, L. A.: 1992, 'Information Processing and the Evolutionary Ecology of Cognitive Architecture', The American Naturalist 140, S108–S145.
Reza, F. M.: 1994, 1961, An Introduction to Information Theory, Dover, New York.
Shannon, C. and Weaver, W.: 1949, The Mathematical Theory of Communication, University of Illinois Press.
Siegel, S.: 1961, 'Decision Making and Learning Under Varying Conditions of Reinforcement', Annals of the New York Academy of Sciences 89(Art. 5), 752–766.
Williams, G. C.: 1992, Natural Selection: Domains, Levels, and Challenges, Oxford University Press.
Wilson, D. S. and Sober, E.: 1994, 'Reintroducing Group Selection to the Human Behavioral Sciences', Behavioral and Brain Sciences 17, 585–654.
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Harms, W. Reliability and Novelty: Information Gain in Multi-Level Selection Systems. Erkenntnis 46, 335–363 (1997). https://doi.org/10.1023/A:1005348731595
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DOI: https://doi.org/10.1023/A:1005348731595