Chapter One—The Central Dogma
Adlington, F. and C. Humphries, Eds. Philip's Science & Technology: People, Dates & Events. London:
Octopus Publishing Group, 1999.
Anderson, J. An Introduction to Neural Networks. Cambridge: MIT Press, 1997.
Churchland, P. and T. Sejnowski. The Computational Brain. New York: Bradford Books, 1994.
Daives, K. Cracking the Genome: Inside the Race to Unlock Human DNA. New York: The Free Press,
2001.
Dorffner, G., Ed. Neural Networks and a New Artificial Intelligence. New York: International Thomson
Computer Press, 1997.
Feynman, R. P., R. B. Leighton, et al. The Feynman Lectures on Physics. Reading, MA: Addison-
Wesley Publishing Company, 1977.
Freiberger, P. and M. Swaine. Fire in the Valley: The Making of the Personal Computer. New York:
McGraw-Hill, 1984.
Giarratano, J. and G. Riley. Expert Systems: Principles and Programming. Boston: PWS Publishing
Company, 1994.
Jenness, R. Analog Computation and Simulation: Laboratory Approach. Boston: Allyn and Bacon,
Inc., 1965.
Johnson, C. Analog Computer Techniques. New York: McGraw-Hill Book Company, 1963.
Karplus, W. and W. Soroka. Analog Methods: Computation and Simulation. New York: McGraw-Hill
Book Company, Inc., 1959.
Korn, G. and T. Korn. Electronic Analog Computers (DC Analog Computers). New York: McGraw-Hill
Book Company, Inc., 1956.
Kurzweil, R. The Age of Spiritual Machines: When Computers Exceed Human Intelligence. New York:
Viking, 1999.
MacKay, D. and M. Fisher. Analogue Computing at Ultra-High Speed. New York: John Wiley & Sons,
Inc., 1962.
Mitchell, T. Machine Learning. New York: McGraw-Hill, 1997.
Paul, J. Fundamental Analogue Techniques. New York: The Macmillan Company, 1965.
Peterson, G. Basic Analog Computation. New York: Macmillan Company, 1967.
Ricci, F. Analog/Logic Computer Programming and Simulation. New York: Spartan Books, 1972.
Rummer, D. Introduction to Analog Computer Programming. Dallas: Holt, Rinehart and Winston, Inc.,