DocumentCode
677952
Title
Incremental Determinization and Minimization of Finite Acyclic Automata
Author
Lamperti, Gianfranco ; Scandale, Michele
Author_Institution
Dipt. di Ing. dell´Inf., Univ. di Brescia, Brescia, Italy
fYear
2013
fDate
13-16 Oct. 2013
Firstpage
2250
Lastpage
2257
Abstract
The determinization of a nondeterministic finite automaton (NFA) N is the process of generating a deterministic finite automaton (DFA) D equivalent to (sharing the same regular language of) N. The minimization of D is the process of generating the minimal DFA M equivalent to D. Classical algorithms for determinization and minimization are available in the literature for several decades. However, they operate monolithically, assuming that the finite automaton to be either determinized or minimized is given once and for all. By contrast, we consider determinization and minimization in a dynamic context, where N expands over time: after each expansion, determinization and minimization of N into M is required. Using classical monolithic algorithms to solve this problem is bound to poor performances. An algorithm for incremental determinization and minimization of acyclic finite automata, called IDMA, is proposed. Despite being conceived within the narrow domain of model-based diagnosis and monitoring of active systems, the algorithm is general-purpose in nature. Experimental evidence indicates that IDMA is far more efficient than classical algorithms in solving incremental determinization and minimization problems.
Keywords
deterministic automata; finite automata; minimisation; model-based reasoning; IDMA; NFA; active systems; classical monolithic algorithm; finite acyclic automata; incremental determinization problem; incremental minimization problem; minimal DFA generation; model-based diagnosis; model-based monitoring; nondeterministic finite automaton; Automata; Heuristic algorithms; History; Indexes; Minimization; Partitioning algorithms; Tin; Artificial intelligence; Determinization; Finite automata; Incremental techniques; Minimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location
Manchester
Type
conf
DOI
10.1109/SMC.2013.385
Filename
6722138
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