Joint Review of Introduction To Natural Computation Dana H. Ballard ISBN 0-262-52258-6 336 pp. $40.00 (paperback) MIT Press March 1997 and Mathematical Methods in Arti cial Intelligence Edward A. Bender IEEE Press, 1996 664 pages, 7 x 10 Hardcover ISBN 0-8186-7200-5,January 1996 $38.21 Reviewed by Lawrence S. Moss5 One of the interesting trends in theoretical computer science in recent years is the turn towards new application areas. It is not strange to see career shifts from complexity theory to cryptography, from type theory to security, from formal language theory to computational biology. The trend is re ected in journals as well. For example, the newly-open-for-business electronic journal Logical Methods in Computer Science has editors in the emerging topics of quantum computation and logic, and in computational systems in biology. Theoretical Computer Science recently added to its two sections (algorithms, automata, complexity and games; and logic, semantics and theory of programming) a third section entitled Natural Computing . This is devoted to the study of computing occurring in nature and computing inspired by nature. . . . it will contain papers dealing with the theoretical issues in evolutionary computing, neural networks, molecular computing, and quantum computing.
Joint review of Introduction To Natural Computation by Dana H. Ballard; MIT Press, 1997, ISBN 0-262-52258-6 and Mathematical Methods in Artificial Intelligence by Edward A. Bender, IEEE Press, 1996 ISBN 0-8186-7200-5.
Joint Review of Introduction To Natural Computation Dana H. Ballard ISBN 0-262-52258-6 336 pp. $40.00 (paperback) MIT Press March 1997 and Mathematical Methods in Arti cial Intelligence Edward A. Bender IEEE Press, 1996 664 pages, 7 x 10 Hardcover ISBN 0-8186-7200-5,January 1996 $38.21 Reviewed by Lawrence S. Moss5 One of the interesting trends in theoretical computer science in recent years is the turn towards new application areas. It is not strange to see career shifts from complexity theory to cryptography, from type theory to security, from formal language theory to computational biology. The trend is re ected in journals as well. For example, the newly-open-for-business electronic journal Logical Methods in Computer Science has editors in the emerging topics of quantum computation and logic, and in computational systems in biology. Theoretical Computer Science recently added to its two sections (algorithms, automata, complexity and games; and logic, semantics and theory of programming) a third section entitled Natural Computing . This is devoted to the study of computing occurring in nature and computing inspired by nature. . . . it will contain papers dealing with the theoretical issues in evolutionary computing, neural networks, molecular computing, and quantum computing. (Interstingly, SIGACT News seems to be immune from this trend, at least so far.) Finally, we turn from o cial journals to decidedly uno cial sources: weblogs summaries of panel discussions at conferences. On May 14, 2004, the Columbia/IBM Research/NYU Theory Day held a panel on The Future of CS Theory. As reported in Lance Fornow s Computational Complexity Web Log, Richard Karp highlighted three areas of interest for the future: (1) the study of large scale distributed systems such as the Web, incorporating ideas from economics and game theory; (2) connections with areas of natural science, ranging from statistical physics to quantum mechanics to...
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Joint review of Introduction To Natural Computation by Dana H. Ballard; MIT Press, 1997, ISBN 0-262-52258-6 and Mathematical Methods in Artificial Intelligence by Edward A. Bender, IEEE Press, 1996 ISBN 0-8186-7200-5.
Moss, Lawrence S.
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