Synthesis from Examples: Interaction Models and Algorithms
Examples are often a natural way to specify various computational artifacts such as programs, queries, and sequences. Synthesizing such artifacts from example based specifications has various applications in the domains of end-user programming and intelligent tutoring systems. Synthesis from example...
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| Vydané v: | 2012 4th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC s. 8 - 14 |
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| Hlavný autor: | |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
IEEE
01.09.2012
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| Predmet: | |
| ISBN: | 9781467350266, 1467350265 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Examples are often a natural way to specify various computational artifacts such as programs, queries, and sequences. Synthesizing such artifacts from example based specifications has various applications in the domains of end-user programming and intelligent tutoring systems. Synthesis from examples involves addressing two key technical challenges: (i) design of a user interaction model to deal with the inherent ambiguity in the example based specification. (ii) design of an efficient search algorithm - these algorithms have been based on paradigms from various communities including use of SAT/SMT solvers (formal methods community), version space algebras (machine learning community), and A*-style goal-directed heuristics (AI community). This paper describes some effective user interaction models and algorithmic methodologies for synthesis from examples while discussing synthesizers for a variety of artifacts ranging from tricky bit vector algorithms, spreadsheet macros for automating repetitive data manipulation tasks, ruler/compass based geometry constructions, algebraic identities, and predictive intellisense for repetitive drawings and mathematical terms. |
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| ISBN: | 9781467350266 1467350265 |
| DOI: | 10.1109/SYNASC.2012.69 |

