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
Link To Document :
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