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  2. Genetic programming - Wikipedia

    en.wikipedia.org/wiki/Genetic_programming

    GP continued to flourish, leading to the first specialist GP journal [16] and three years later (2003) the annual Genetic Programming Theory and Practice (GPTP) workshop was established by Rick Riolo. [17] [18] Genetic Programming papers continue to be published at a diversity of conferences and associated journals. Today there are nineteen GP ...

  3. Programming and Metaprogramming in the Human Biocomputer

    en.wikipedia.org/wiki/Programming_and_Meta...

    Programming and Metaprogramming in the Human Biocomputer: Theory and Experiments is a 1968 book by John C. Lilly. In the book, "the doctor imagines the brain as a piece of computer technology." [1] More specifically, he uses "the analogy of brain being the hardware, the mind being the software and consciousness being beyond both." [2]

  4. Computational biology - Wikipedia

    en.wikipedia.org/wiki/Computational_biology

    A practical biological example of this would be taking an individual's genetic data and predicting whether or not that individual is predisposed to develop a certain disease or cancer. At each internal node the algorithm checks the dataset for exactly one feature, a specific gene in the previous example, and then branches left or right based on ...

  5. Genetic algorithm - Wikipedia

    en.wikipedia.org/wiki/Genetic_algorithm

    Genetic programming (GP) is a related technique popularized by John Koza in which computer programs, rather than function parameters, are optimized. Genetic programming often uses tree-based internal data structures to represent the computer programs for adaptation instead of the list structures typical of genetic

  6. Evolutionary algorithm - Wikipedia

    en.wikipedia.org/wiki/Evolutionary_algorithm

    With the theory of virtual alphabets, David E. Goldberg showed in 1990 that by using a representation with real numbers, an EA that uses classical recombination operators (e.g. uniform or n-point crossover) cannot reach certain areas of the search space, in contrast to a coding with binary numbers. [24]

  7. Evolutionary computation - Wikipedia

    en.wikipedia.org/wiki/Evolutionary_computation

    Genetic algorithms deliver methods to model biological systems and systems biology that are linked to the theory of dynamical systems, since they are used to predict the future states of the system. This is just a vivid (but perhaps misleading) way of drawing attention to the orderly, well-controlled and highly structured character of ...

  8. Predictive coding - Wikipedia

    en.wikipedia.org/wiki/Predictive_coding

    Contrary to the inductive notion that emotion categories are biologically distinct, Barrett proposed later the theory of constructed emotion, which is the account that a biological emotion category is constructed based on a conceptual category—the accumulation of instances sharing a goal.

  9. Modelling biological systems - Wikipedia

    en.wikipedia.org/wiki/Modelling_biological_systems

    Modelling biological systems is a significant task of systems biology and mathematical biology. [ a ] Computational systems biology [ b ] [ 1 ] aims to develop and use efficient algorithms , data structures , visualization and communication tools with the goal of computer modelling of biological systems.