Effective logic computation
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Typical but not exclusive areas of interest are: foundations of computing and programming; novel computation models and paradigms; broad notions of proof and belief; proof mining, type theory, effective learnability; formal methods in software and hardware development; logical approach to natural language and reasoning; logics of programs, actions and resources; foundational aspects of information organization, search, flow, sharing, and protection; foundations of mathematics; philosophy of mathematics; philosophical logic; philosophy of language.
Proposed contributions should be in English, and consist of a scholarly exposition accessible to the non-specialist, including motivation, background, and comparison with related works. They must not exceed 12 pages, with up to 5 additional pages for references and technical appendices.
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A title and single-paragraph abstract should be submitted by March 1, , and the full paper by March 7, firm date. Notifications are expected by April 8, , and final papers for the proceedings will be due by April 15, firm date.
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In addition, abstracts will be published in the Conference Report section of the Logic Journal of the IGPL, and selected contributions will be published after a new round of reviewing as a special post-conference WoLLIC issue of a scientific journal to be confirmed. Go here for details. Mar 1, Paper title and abstract deadline Mar 7, Full paper deadline Apr 8, Author notification Apr 15, Final version deadline firm. Former Member: Grigori Mints deceased. We present a new readout method for DNA-based logical computation.
It is expected that DNA computing can offer effective solutions to difficult-to-solve problems for the conventional computing. On the other hand troublesome procedures to read out the calculation results prevent the realization of practical applications of DNA computing.
Effective Logic Computation: Revised Edition by Klaus Truemper, Paperback | Barnes & Noble®
Here we propose a new tile sequencing method to read out the DNA tile computing results using a visualization tile. View on IEEE. Save to Library. Create Alert.
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Effective algorithm to encrypt information based on self-assembly of DNA tiles. Chakraborty , N.