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July/August 2012 (vol. 14 no. 4)
pp. 6-10
Norman Chonacky, Yale University
George F. Luger, University of New Mexico
In the first book review, “Programming from the Bottom Up,”, Norman Chonacky reviews an introductory textbook that considers fundamental computer operations as well as the methods and practices needed to create, use, or manage programs intended for the computational sciences and engineering. In the second book review, “Can Artificial Intelligence Improve Human Reasoning?”' George F. Luger reviews a book dealing with how the rational human mind might be understood and enhanced through computer-based representations and algorithms.

1. E. Post, “Formal Reductions of the General Combinatorial Decision Problem,” Am. J. Mathematics, vol. 65, no. 2, 1943, pp. 197–215.
2. A. Newell and H.A. Simon, Human Problem Solving, Prentice Hall, 1972.
3. D. Kahneman and S. Frederick, “Representativeness Revisited: Attribute Substitution in Intuitive Judgment,” Heuristics and Intuitive Judgment: Extensions and Application, Cambridge Univ. Press, 2002.
4. C.S. Peirce, Collected Papers 1931–1958, Harvard Univ. Press, 1958.
5. A. Newell, Unified Theories of Cognition, Harvard Univ. Press, 1990.
6. D.C. Dennett, Consciousness Explained, Little Brown, 1991.
7. M. Minsky, The Society of Mind, Simon and Schuster, 1985.
8. J.R. Anderson, “Arguments Concerning Representations for Mental Imagery,” Psychological Rev., vol. 84, no. 4, 1978, pp. 249–277.

Index Terms:
Book reviews,Programming,Computer applications,Computational intelligence,Scientific computing,Artificial intelligence,artificial intelligence,Book reviews,Programming,Computer applications,Computational intelligence,Scientific computing,Artificial intelligence,scientific computing,computational science,scientific programming,Matlab,computational logic
Norman Chonacky, George F. Luger, "Programming from the bottom up [Books]," Computing in Science and Engineering, vol. 14, no. 4, pp. 6-10, July-Aug. 2012, doi:10.1109/MCSE.2012.81
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