Stahl67T bmp
WALTER R. STAHL
Wammeunde, J. T. (1964). Proc. 17th Conf. Eng. Med. Biol., Cleveland, Ohio, 1964,
p. 102.
Waterman, T. H. (1962). Am. Scientisł 60, 548.
Waterman, T. H., and Morowitz, H. J., eds. (1965). “Theoretical and Mathematical Biology.” Ginn (Blaisdell), Boston, Massachusetts.
Watt, K. E. F. (1961). Can. Entomologist 93, (Supp. 19), 1.
Webb, F. C. (1964). “Biochemical Engineering.” Van Nostrand, Princeton, New Jersey.
Weiss, P., and Kavanau, J. L. (1957). J. Gen. Physiol. 41, 1.
Wendel, O. W. (1961). Phys. Med. Biol. 6, 411.
West, J. B., and Hugh-Jones, P. (1959). J. Appl. Physiol. 14, 753.
Westcott, J. H. (1960). Symp. Soc. Exptl. Biol. 14, 102.
Wiener, N. (1961). “Cybemetics” 2nd ed. M. I. T. Press, Cambridge, Massachusetts. Wiener, N., and Schade, J. P., eds. (1964). Progr. Biocybernetics 1.
Wise, M. E., and Defares, J. G. (1959). Buli. Math. Biophys. 21, 343.
Woodger, J. H. (1937). “The Axiomatic Method in Biology.” Cambridge Univ.
Press, London and New York.
Woodger, J. H. (1962). Ann. N.Y. Acad. Sci. 96, 1093.
Young, L. B,., and Stark, L. (1963). Proc. Bionics Symp., Wrighl-Pałlerson A.F. Bose, Dayton, Ohio, 1968.
Young, J. Z. (1964). “A Model of the Brain.” (Mord Univ. Press, London and New York.
Yovits, M. D., Jacobi, G. T., and Goldstein, G. D. (1962). “Self-organizing Systems.” Spartan, Washington, D.C.
Wyszukiwarka
Podobne podstrony:
Stahl67H bmp 212 WALTER R. STAHL Estes, W. K., and Taylor, H. A. (1964). Proc. Natl. Acad. Sci. U.SStahl67 bmp 166 WALTER R. STAHL 193 194 195 196 197 197 198 198 199 200 201 202 203 204Stahl67 bmp 168 WALTER R. STAHL entire field of cybernetics. Westcott (1960) emphasizes the probleStahl67 bmp 170 WALTER R. STAHL Consider a small-scale test model of a new type of turbinę, whichStahl67 bmp 172 WALTER R. STAHL TABLE I Mathematical Similaeitt Criteria for Variotjs Types of ModStahl67 bmp 174 WALTER R. STAHL C. Mathematical Naturę of Modeling Invariants The different varietStahl67 bmp 178 WALTER R. STAHL a dimensionless criterion associated with the Poiseuille flow law.Stahl67 bmp 180 WALTER R. STAHL of the entire cardiovascular system based on dozens of eąuations fStahl67 bmp 182 WALTER R. STAHL titative greenhouse studies on the effects of water, light intensiStahl67 bmp 184 WALTER R. STAHL B. Artificial Kidney The artificial kidney is very dissimilar in aStahl67 bmp 186 WALTER R. STAHL a very restricted modeling situation. Mannikins are also in use foStahl67$ bmp 188 WALTER R. STAHL Reeve and Bailey (1962) developed a rather complex differential eqStahl67& bmp 190 WALTER R. STAHL sition of an allele in a genome. No physical constants other thanStahl67( bmp 192 WALTER R. STAHL A rather different approach to ecological modeling has been chosenStahl670 bmp 194 WALTER R. STAHL a discussion of simulation of biological systems of all types by MStahl672 bmp 196 WALTER R. STAHL Function and regulation in the myocardium are the subject of severStahl674 bmp 198 WALTER R. STAHL not all necessary numerical constants are available in vivo to valStahl676 bmp 200 WALTER R. STAHL tempted to explain data in human coordinationdisturbances (ParkinsStahl678 bmp 202 WALTER R. STAHL A. Turing’s Test and Artificial Intelligence The concept of algoriwięcej podobnych podstron