Hostname: page-component-745bb68f8f-l4dxg Total loading time: 0 Render date: 2025-01-08T22:36:05.883Z Has data issue: false hasContentIssue false
  • English
  • Français

Signals

Published online by Cambridge University Press:  01 January 2022

Brian Skyrms
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Presidential Address
Information
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
Copyright
Copyright © The Philosophy of Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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