Artificial Intelligence
Graph-Based Algorithms for Boolean Function Manipulation
IEEE Transactions on Computers
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STOC '86 Proceedings of the eighteenth annual ACM symposium on Theory of computing
Information Processing Letters
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Information and Computation
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COLT '88 Proceedings of the first annual workshop on Computational learning theory
The Induction of Dynamical Recognizers
Machine Learning - Connectionist approaches to language learning
Random DFA's can be approximately learned from sparse uniform examples
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The design and analysis of efficient learning algorithms
The design and analysis of efficient learning algorithms
The minimum consistent DFA problem cannot be approximated within any polynomial
Journal of the ACM (JACM)
An introduction to Kolmogorov complexity and its applications
An introduction to Kolmogorov complexity and its applications
A fully implicit algorithm for exact state minimization
DAC '94 Proceedings of the 31st annual Design Automation Conference
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
GRASP—a new search algorithm for satisfiability
Proceedings of the 1996 IEEE/ACM international conference on Computer-aided design
A new algorithm for the reduction of incompletely specified finite state machines
Proceedings of the 1998 IEEE/ACM international conference on Computer-aided design
Exact Minimization of Binary Decision Diagrams Using Implicit Techniques
IEEE Transactions on Computers
A Computing Procedure for Quantification Theory
Journal of the ACM (JACM)
Computers and Intractability: A Guide to the Theory of NP-Completeness
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ICGI '98 Proceedings of the 4th International Colloquium on Grammatical Inference
ICGI '98 Proceedings of the 4th International Colloquium on Grammatical Inference
A Stochastic Search Approach to Grammar Induction
ICGI '98 Proceedings of the 4th International Colloquium on Grammatical Inference
Verification of Synchronous Sequential Machines Based on Symbolic Execution
Proceedings of the International Workshop on Automatic Verification Methods for Finite State Systems
Limits of Exact Algorithms For Inference of Minimum Size Finite State Machines
ALT '96 Proceedings of the 7th International Workshop on Algorithmic Learning Theory
Proceedings of the IEEE International Test Conference on Discover the New World of Test and Design
LARS: A learning algorithm for rewriting systems
Machine Learning
A more bio-plausible approach to the evolutionary inference of finite state machines
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
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Pattern Recognition
Inference of regular languages using state merging algorithms with search
Pattern Recognition
FMCO'06 Proceedings of the 5th international conference on Formal methods for components and objects
Inferring network invariants automatically
IJCAR'06 Proceedings of the Third international joint conference on Automated Reasoning
libalf: the automata learning framework
CAV'10 Proceedings of the 22nd international conference on Computer Aided Verification
Learning finite-state machines from inexperienced teachers
ICGI'06 Proceedings of the 8th international conference on Grammatical Inference: algorithms and applications
Learning minimal deterministic automata from inexperienced teachers
ISoLA'12 Proceedings of the 5th international conference on Leveraging Applications of Formal Methods, Verification and Validation: technologies for mastering change - Volume Part I
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This work describes algorithms for the inference of minimum size deterministic automata consistent with a labeled training set. The algorithms presented represent the state of the art for this problem, known to be computationally very hard.In particular, we analyze the performance of algorithms that use implicit enumeration of solutions and algorithms that perform explicit search but incorporate a set of techniques known as dependency directed backtracking to prune the search tree effectively.We present empirical results that show the comparative efficiency of the methods studied and discuss alternative approaches to this problem, evaluating their advantages and drawbacks.