Abstract
I describe the simplest living organism, the cell, as a symbol-matter system―an observable case of how a natural representation using a word processing format constrains the real-time behavior of a material organism. My purpose is not to model cognition or language at the brain level, which cells have achieved only after some three billion years of evolution. Rather, I use this primeval embodiment of a symbol-matter system as an exercise in mental hygiene for cognitive scientists to test, and hopefully improve, the clarity of their fundamental explanatory concepts. I focus on the assumptions of information processing and direct perception approaches as specific examples of inadequate theories for understanding even simple symbol-matter systems. Based on the genetic organization of cells, I propose a semantic closure principle that requires both the physical constraints of direct perception and the syntactic constraints of information processing for explanation of symbol-matter systems. This exercise is motivated by the belief that if we expect to get anywhere with the mind-body problem at the brain level, then our concepts must at least be adequate in scope and precision to explain the symbol-matter relation in single cells where it all started.
Reprinted from Cognition and Brain Theory, 5(4), 325–341, 1982.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Bennett, C. H. (1979). Dissipation-error tradeoff in proofreading. Biosystems, 11, 85–91.
Carello, C., Turvey, M. T., Kugler, P. N., & Shaw, R. E. (1982). Inadequacies in the computer metaphor. In M. S. Gazzaniga (Ed.), Handbook of cognitive neuroscience. New York: Plenum.
Davidson, D. (1981). The material mind. In J. Haugeland (Ed.), Mind design. Cambridge, MA: MIT Press.
d’Espagnat, B. (1976). Conceptual foundations of quantum mechanics (2nd ed.). Reading: W. A. Benjamin.
Eigen, M., & Schuster, P. (1977). The hypercycle. Naturwissenschaften, 4, 541–565.
Gibson, J. J. (1979). The ecological approach to visual perception. Boston: Houghton Mifflin.
Hoffman, G. (1975). The stochastic theory of the origin of the genetic code. In H. Eyring, C. J. Christianson, & H. S. Johnson (Eds.), Annual reviews of physical chemistry (Vol. 26). New York: Academic.
Jammer, M. (1974). The philosophy of quantum mechanics. New York: Wiley.
Koshland, D. E., Jr., Goldbeter, A., & Stock, J. B. (1982). Amplification and adaptation in regulatory and sensory systems. Science, 217, 220–225.
Kugler, P. N., Kelso, J. A. S., & Turvey, M. T. (1980). On the concept of coordinative structures as dissipative structures: I. Theoretical lines of convergence. In G. E. Stelmach & J. Requin (Eds.), Tutorials in motor behavior. Amsterdam: North Holland.
Minsky, M. (1980). Decentralized minds. Commentary on J. R. Searle, minds, brains, and programs. Behavior and Brain Sciences, 3, 417–457.
Monod, J. (1971). Chance and necessity. New York: Knopf.
Neisser, U. (1976). Cognition and reality. San Francisco: W. H. Freeman.
Newell, A. (1973). You can’t play 20 questions with nature and win. In W. G. Chase (Ed.), Visual information processing. New York: Academic.
Newell, A. (1980). Physical symbol systems. Cognitive Science, 4, 135–183.
Pattee, H. H. (1968). The physical basis of coding and reliability in biological evolution. In C. H. Waddington (Ed.), Towards a theoretical biology (Prolegomena, Vol. I). Edinburgh: Edinburgh University Press.
Pattee, H. H. (1969). How does a molecule become a message? Developmental Biology, Supplement, 3, 1–16.
Pattee, H. H. (1972). Physical problems of decision-making constraints. International Journal of Neuroscience, 3, 99–106.
Pattee, H. H. (1979). Complementarity vs. reductionism as explanation of biological complexity. American Journal of Physiology, 5(3), R241–R246.
Polanyi, M. (1968). Life’s irreducible structure. Science, 160, 1308–1311.
Pylyshyn, Z. (1980). Computation and cognition: Issues in the foundations of cognitive science. Behavioral and Brain Sciences, 3, 111–169.
Schrödinger, E. (1961). Science and humanism. Cambridge: Cambridge University Press.
Turvey, M. T., & Carello, C. (1981). Cognition: The view from ecological realism. Cognition, 10, 313–321.
Ullman, S. (1980). Against direct perception. Behavioral and Brain Sciences, 3, 373–415.
von Neumann, J. (1955). Mathematical foundations of quantum mechanics. Princeton: Princeton University Press.
von Neumann, J. (1966). Theory of self-reproducing automata. Edited and completed by A. W. Burks. Urbana: University of Illinois Press.
Waters, D. (1982). Syntax of the genetic code. Journal of Theoretical Biology (submitted)
Wigner, E. P. (1964). Events, laws, and invariance principles. Science, 145, 995–999.
Wigner, E. P. (1965). Remarks on the mind-body problem. In I. J. Good (Ed.), The scientist speculates. New York: Capricorn Books.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Pattee, H.H. (2012). Cell Psychology: An Evolutionary Approach to the Symbol-Matter Problem. In: LAWS, LANGUAGE and LIFE. Biosemiotics, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5161-3_11
Download citation
DOI: https://doi.org/10.1007/978-94-007-5161-3_11
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-5160-6
Online ISBN: 978-94-007-5161-3
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)