Abstract
The ability to construct measuring devices and to predict the results of measurements using models expressed in formal mathematical language is now generally accepted as the minimum requirement for any form of scientific theory. The modern cultural development of these skills is usually credited to the Newtonian epoch, although traces go back at least 2000 years to the Milesian philosophers. In any case, from the enormously broader evolutionary perspective, covering well over three billion years, the inventions of measurement and language are commonly regarded as only the most recent and elaborate form of intelligent activity of the most recent and elaborate species.
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References
Barto, A. (1984). Simulation Experiments with Goal-seeking Adaptive Elements. Final Report, June 1980—August 1983 (Avionics Lab., Air Force Wright Aeronautical Lab, Wright-Patterson Air Force Base, Ohio 45433 ).
Bremermann, H. J. (1962). Optimization through evolution and recombination, in M. C. Yovits, G. T.
Jacobi, and G. D. Goldstein (Eds.) Self-Organizing Systems (Washington, DC: Spartan Books).
Conrad, M. and Hastings, H. M. (1985). Scale change and the emergence of information processing primitives. J. Theoret. Biol. (in press).
Conrad, M. and Pattee, H. H. (1970). Evolution experiments with an artificial ecosystem. J. Theoret. Biol. 28: 393–409.
Eigen, M. and Schuster, P. (1979). The Hypercycle: A Principle of Natural Self-Organization (Heidelberg, Berlin, New York: Springer).
Fogel, L. J., Owens, A. J., and Walsh, M. J. (1966). Artificial Intelligence Through Simulated Evolution ( New York: Wiley).
Gibson, J. J. (1979). The Ecological Approach to Visual Perception ( Boston: Houghton-Mifflin).
Haken, H. (1981). Synergetics: is self-organization governed by universal principles?, in E. Jantsch (Ed.) The Evolutionary Vision. AAAS Selected Symposium 61 ( Boulder, CO: Westview Press ).
Hockett, E. (1966). The problem of universals in language, in J. H. Greenberg (Ed.) Universals of Language ( Cambridge: MIT Press ) pp. 1–29.
Holland, J. (1975). Adaptation in Natural and Artificial Systems ( Ann Arbor, MI: Michigan University Press).
Klopf, A. H. and Gose, E. (1969). An evolutionary pattern recognition network, IEEE Pans. of Systems Science and Cybernetics 5: 247–50.
Moorehead, P S. and Kaplan, M. M. (Eds.) (1967). Mathematical Challenges to the Neo-Darwinian Interpretation of Evolution ( Philadelphia: The Wistar Institute Press ).
Nagel, E. (1932). Measurement. Reprinted in Danto, A. and Morganbesser, S. (1960). Philosophy of Science ( New York: World Publishing Co.).
von Neumann, J. (1966). Theory of Self-Reproducing Automata. Edited and completed by A. W. Burks ( Urbana, IL: University of Illinois Press).
Newell, A. (1980). Physical symbol systems, Cognitive Science 4: 135–83.
Pattee, H. (1972a). The nature of hierarchical controls in living matter, in R. Rosen (Ed.) Foundations of Mathematical Biology, Vol. 1 ( New York: Academic Press ) pp. 1–22.
Pattee, H. (1972b). Physical problems of decision-making constraints. Int. J. Neuroscience 3: 99–106.
Pattee, H. (1982). Cell psychology: an evolutionary approach to the symbol-matter problem. Cognition and Brain Theory 5 (4): 325–341.
Polanyi, M. (1968). Life’s irreducible structure. Science 160: 1308–1312.
Prigogine, J. (1980). From Being to Becoming: Time and Complexity in the Physical Sciences ( San Francisco: W. H. Freeman & Co).
Pylyshyn, Z. (1980). Computation and cognition: issues in the foundations of cognitive science. The Behavioral and Brain Sciences 3: 111–169.
Thom, R. (1975). Structural Stability and Morphogenesis ( Reading, MA: W. A. Benjamin).
Tùrvey, M. and Carello, C. (1981). Cognition: the view from ecological realism. Cognition 10: 313–321.
Tùrvey, M. and Kugler, P. (1984). An ecological approach to perception and action, in H.T.A. Whiting (Ed.) Human Motor Actions: Burnstein Reassessed ( Amsterdam: North-Holland Publishing Co ).
Waddington, C. H. (1968). The basic ideas of biology, in C. H. Waddington (Ed.) Towards a Theoretical Biology I. Prolegomena ( Edinburgh: Edinburgh University Press ) pp. 1–32.
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Pattee, H.H. (1991). Universal Principles of Measurement and Language Functions in Evolving Systems. In: Facets of Systems Science. International Federation for Systems Research International Series on Systems Science and Engineering, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-0718-9_42
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DOI: https://doi.org/10.1007/978-1-4899-0718-9_42
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