Hierarchical Design of Adaptive Automata Models | Zendy

Ricardo Luis de Azevedo da Rocha | Zendy

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Hierarchical Design of Adaptive Automata Models

Author(s) -

Ricardo Luis de Azevedo da Rocha

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.434

Subject(s) - computer science , automaton , notation , theoretical computer science , process (computing) , decomposition , finite state machine , programming language , mathematics , ecology , arithmetic , biology

The purpose of this paper is to devise a method for the design of adaptive automaton models using functional decomposition. One of the biggest challenges faced by researchers is to restrain side effects asserting design features. We defined a formal notation to structure the process; this allows the developer to build an adaptive automaton in a hierarchical way. As a result, we proved that the design method preserves some properties (determinism). Furthermore, we present an example of an evaluation of the process.

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