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Signals

Published online by Cambridge University Press:  01 January 2022

Brian Skyrms
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Presidential Address
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Philosophy of Science , Volume 75 , Issue 5: Proceedings of the 2006 Biennial Meeting of the Philosophy of Science Association. Part II: Symposia Papers. Edited by Cristina Bicchieri and Jason Alexander , December 2008 , pp. 489 - 500
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Copyright © The Philosophy of Science Association

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References

Argiento, Raffaele, Pemantle, Robin, Skyrms, Brian, and Volkov, Stas (2008), “Learning to Signal: Analysis of a Micro-Level Reinforcement Model”, Stochastic Processes and Their Applications, doi: 10.1016/j.spa.2008.02.014, http://dx.doi.org/10.1016/j.spa.2008.02.014.CrossRefGoogle Scholar
Barnes, Jonathan (1982), The Presocratic Philosophers. London: Routledge.Google Scholar
Barnes, Jonathan (2001), Early Greek Philosophy. 2nd ed. London: Penguin.Google Scholar
Bauer, Wolfgang D., and Mathesius, Ulrike (2004), “Plant Responses to Bacterial Quorum-Sensing Signals”, Plant Responses to Bacterial Quorum-Sensing Signals 7:429–433.Google ScholarPubMed
Benaim, Michel, Shreiber, Sebastien J., and Tarres, Pierre (2004), “Generalized Urn Models of Evolutionary Processes”, Generalized Urn Models of Evolutionary Processes 14:1455–1478.Google Scholar
Charrier, Isabelle, and Sturdy, Christopher B. (2005), “Call-Based Species Recognition in the Black-Capped Chicadees”, Call-Based Species Recognition in the Black-Capped Chicadees 70:271–281.Google Scholar
Cheney, Dorothy, and Seyfarth, Robert M. (1990), How Monkeys See the World: Inside the Mind of Another Species. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Dretske, Fred (1981), Knowledge and the Flow of Information. Cambridge: MIT Press.Google Scholar
Harms, William F. (2004), Information and Meaning in Evolutionary Processes. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Herrnstein, Richard J. (1970), “On the Law of Effect”, On the Law of Effect 13:243–266.Google ScholarPubMed
Hofbauer, Josef, and Sigmund, Karl (1998), Evolutionary Games and Population Dynamics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Huttegger, Simon (2007a), “Evolution and the Explanation of Meaning”, Evolution and the Explanation of Meaning 74:1–27.Google Scholar
Huttegger, Simon (2007b), “Evolutionary Explanations of Indicatives and Imperatives”, Evolutionary Explanations of Indicatives and Imperatives 66:409–436.Google Scholar
Kullback, Solomon ([1959] 1978), Information Theory and Statistics. New York: Wiley. Reprinted Glocester, MA: Peter Smith.Google Scholar
Kullback, Solomon, and Leibler, R. A. (1951), “On Information and Sufficiency”, On Information and Sufficiency 22:79–86.Google Scholar
Lewis, David (1969), Convention. Cambridge, MA: Harvard University Press.Google Scholar
Marler, Peter (1999), “On Innateness: Are Sparrow Songs ‘Learned’ or ‘Innate’?”, in Hauser, Marc and Konishi, Mark (eds.), The Design of Animal Communication. Cambridge, MA: MIT Press.Google Scholar
Millikan, Ruth Garrett (1984), Language, Thought, and Other Biological Categories. Cambridge, MA: MIT Press.Google Scholar
Othmer, Hans G., and Stevens, Angela (1997), “Aggregation, Blow Up, and Collapse: The ABC's of Taxis in Reinforced Random Walks”, Aggregation, Blow Up, and Collapse: The ABC's of Taxis in Reinforced Random Walks 57:1044–1081.Google Scholar
Roth, Al, and Erev, Ido (1995), “Learning in Extensive Form Games: Experimental Data and Simple Dynamical Models in the Intermediate Term”, Learning in Extensive Form Games: Experimental Data and Simple Dynamical Models in the Intermediate Term 8:164–212.Google Scholar
Russell, Bertrand (1921), The Analysis of Mind (Lecture X). London: Allen & Unwin.Google Scholar
Shreiber, Sebastian (2001), “Urn Models, Replicator Processes, and Random Genetic Drift”, Urn Models, Replicator Processes, and Random Genetic Drift 61:2148–2167.Google Scholar
Skyrms, Brian (1998), “Salience and Symmetry-Breaking in the Evolution of Convention”, Salience and Symmetry-Breaking in the Evolution of Convention 17:411–418.Google Scholar
Skyrms, Brian (2000), “Evolution of Inference”, in Kohler, Tim and Gumerman, George (eds.), Dynamics of Human and Primate Societies. New York: Oxford University Press, 77–88.Google Scholar
Skyrms, Brian (2004), The Stag Hunt and the Evolution of Social Structure. Cambridge: Cambridge University Press.Google Scholar
Skyrms, Brian, and Pemantle, Robin (2000), “A Dynamic Model of Social Network Formation”, A Dynamic Model of Social Network Formation 97:9340–9346.Google ScholarPubMed
Smith, Adam ([1761] 1983), Considerations Concerning the First Formation of Languages. Reprinted in J. C. Bryce (ed.), Lectures on Rhetoric and Belles Lettres. Oxford: Oxford University Press.CrossRefGoogle Scholar
Taga, Michiko E., and Bassler, Bonnie L. (2003), “Chemical Communication among Bacteria”, Chemical Communication among Bacteria 100 (suppl. 2): 14549–14554.Google ScholarPubMed
Verlinsky, Alexander (2005), “Epicurus and His Predecessors on the Origin of Language”, in Frede, Dorothea and Inwood, Brad (eds.), Language and Learning: Philosophy of Language in the Hellenistic Age. Cambridge: Cambridge University Press, 56–100.CrossRefGoogle Scholar