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On the Synthesis of Finite-State Machines from Samples of Their Behavior
Abstract
The Nerode realization technique for synthesizing finite-state machines from their associated right-invariant equivalence relations is modified to give a method for synthesizing machines from finite subsets of their input-output behavior. The synthesis procedure includes a parameter that one may adjust to obtain machines that represent the desired behavior with varying degrees of accuracy and that consequently have varying complexities. We discuss some of the uses of the method, including an application to a sequential learning problem.
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Cited by
Inductive Logic Programming: Theory and methods
Muggleton, S., & de Raedt, L. (1994) · The Journal of Logic Programming · doi:10.1016/0743-1066(94)90035-3 · Cited by 1,537
Inductive Inference: Theory and Methods
Angluin, D., & Smith, C. H. (1983) · ACM Computing Surveys · doi:10.1145/356914.356918 · Cited by 887
Discovering models of software processes from event-based data
Cook, J. E., & Wolf, A. L. (1998) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/287000.287001 · Cited by 870
Complexity of automaton identification from given data
Gold, E. M. (1978) · Information and Control · doi:10.1016/s0019-9958(78)90562-4 · Cited by 771
Ammons, G., Bodík, R., & Larus, J. R. (2002) · Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages · doi:10.1145/503272.503275 · Cited by 665
Metadata
- Authors
- Biermann, A. W., & Feldman, J. A.
- Venue
- IEEE Transactions on Computers
- Published
- 1972-06
- Volume
- C-21
- Issue
- 6
- Pages
- 592-597
- ISSN
- 0018-9340 (ISSN-L)
- OpenAlex
- W2076343783
- Cited by
- 510
- References
- 0
- FWCI
- 2.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Biermann, A. W., & Feldman, J. A. (1972). On the Synthesis of Finite-State Machines from Samples of Their Behavior. IEEE Transactions on Computers. https://doi.org/10.1109/tc.1972.5009015
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
