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      by 
      Fogel, David B.
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      engaging style for readers with no background in computer science or artificial intelligence. * Examines
      by 
      Hirsch, R. (Robin)
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      field of algebraic logic, and have applications in proof theory, modal logic, and computer science. This
      by 
      Satō, Kiyotaka, 1946-
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      ; Acknowledgements; Chapter 1. Crystal growth-Its significance for modern science and technology and its possible
      by 
      Bergstra, J. A.
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      topic areas of computer science and discrete math, including system design notations, logic, concurrency
      by 
      Mezaki, Reiji.
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      access to mixing data for various engineering activities. Although computer-aided searches of pertinent
      by 
      Nalwa, Hari Singh, 1954-
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      dominating forces in the emerging new technologies in the fields of science and engineering. This handbook is
      by 
      Odifreddi, Piergiorgio, 1950-
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      Theoretical Computer Science. Besides giving a detailed description of the theories of abstract Complexity
      by 
      Griffor, Edward R.
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      Computability Theory. -- Part 6: Computer Science and Computability Theory.
      2757. 
      by 
      Toga, Arthur W.
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      science implementations, including descriptions of the programs and computer codes used in its execution
      by 
      Mintzes, Joel J.
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      Understanding. -- R. Good and C. Berger, The Computer as a Powerful Tool for Understanding Science. -- M
      by 
      Goldstone, Robert L., editor.
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      research from psychology and computer science * Focuses on the specific mechanisms that drive perceptual
      by 
      Carey, Paul R.
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      advances in computer-based modeling, protein engineering, and methods needed for protein and peptide