From Neural Networks to Grid Automata

M. Burgin (USA)


network, grid, grid array, grid automaton, grid computation


Neural networks have become one of the most popular models for distributed computation, in particular, and distributed processes in general. They are used for a diversity of purposes and are especially promising for artificial intelligence. However, existence of related models for distributed processes, such as Petri nets and cellular automata, demonstrates that it would be beneficial to elaborate such model that will synthesize different approaches to modeling and simulation of distributed processes. Such model, grid automaton, is studied in this paper. In addition to unification of various models developed for simulation of concurrent processes, grid automata allow one to study by mathematical methods and to simulate such new kind of computation as grid computation.

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