Abstract
The hierarchical algebraic decomposition of finite state automata (Krohn-
Rhodes Theory) has been a mathematical theory without any computational
implementations until the present paper, although several possible and promising practical applications such as automated object-oriented programming in software development [5], formal methods for understanding in artificial intelligence [6], a widely applicable integer-valued complexity measure [8,7], have been described. As a remedy for the situation, our new implementation, described here, is freely available [2] as open-source software. We also present two different computer algebraic implementations of the Krohn-Rhodes decomposition, the V [T and holonomy decompositions [4,3], and compare their efficiency in terms of the number of hierarchical levels in the resulting cascade decompositions.
Rhodes Theory) has been a mathematical theory without any computational
implementations until the present paper, although several possible and promising practical applications such as automated object-oriented programming in software development [5], formal methods for understanding in artificial intelligence [6], a widely applicable integer-valued complexity measure [8,7], have been described. As a remedy for the situation, our new implementation, described here, is freely available [2] as open-source software. We also present two different computer algebraic implementations of the Krohn-Rhodes decomposition, the V [T and holonomy decompositions [4,3], and compare their efficiency in terms of the number of hierarchical levels in the resulting cascade decompositions.
| Original language | English |
|---|---|
| Pages (from-to) | 315-316 |
| Journal | Lecture Notes in Computer Science (LNCS) |
| Volume | 3317 |
| Publication status | Published - 2005 |