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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aravind, S. Mathews, R. |
| Copyright Year | 2012 |
| Abstract | Power set construction and its variants to eliminate "dead", "unreachable" states have been the prevalent methods of minimization from Non-Deterministic Finite Automata to Deterministic Finite Automata. The drawbacks for these were the lack of adaptive improvements into the minimization process. The adaptation by means of cognitive models - perception, reasoning and decision-making - is being proposed as a better solution while handling real life problems involving decision making on transitions of states. The non-determinism added by the ambiguity in parallel transition options are resolved by applying cognitive processes. The ACT-R architecture is found to be convenient for modeling systems whose functionality can be deconstructed into a set of states, with the transition functions being modeled as production rules. The resultant model reduces the number of states from 2k to manageable values. |
| Starting Page | 363 |
| Ending Page | 368 |
| File Size | 188032 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467331135 |
| ISSN | 21668531 |
| DOI | 10.1109/CIMSim.2012.35 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-25 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptation models Computational modeling ACT-R Automata Production Doped fiber amplifiers Computer architecture NFA Minimization Cognitive model DFA State Transitions |
| Content Type | Text |
| Resource Type | Article |
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