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Kategorie szczegółowe BISAC

Behavioral Program Synthesis with Genetic Programming

ISBN-13: 9783319275635 / Angielski / Twarda / 2015 / 172 str.

Krzysztof Krawiec
Behavioral Program Synthesis with Genetic Programming Krzysztof Krawiec 9783319275635 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Behavioral Program Synthesis with Genetic Programming

ISBN-13: 9783319275635 / Angielski / Twarda / 2015 / 172 str.

Krzysztof Krawiec
cena 401,58
(netto: 382,46 VAT:  5%)

Najniższa cena z 30 dni: 385,52
Termin realizacji zamówienia:
ok. 22 dni roboczych.

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Genetic programming (GP) is a popular heuristic methodology of program synthesis with origins in evolutionary computation. In this generate-and-test approach, candidate programs are iteratively produced and evaluated. The latter involves running programs on tests, where they exhibit complex behaviors reflected in changes of variables, registers, or memory. That behavior not only ultimately determines program output, but may also reveal its hidden qualities' and important characteristics of the considered synthesis problem. However, the conventional GP is oblivious to most of that information and usually cares only about the number of tests passed by a program. This evaluation bottleneck' leaves search algorithm underinformed about the actual and potential qualities of candidate programs. This book proposes behavioral program synthesis, a conceptual framework that opens GP to detailed information on program behavior in order to make program synthesis more efficient. Several existing and novel mechanisms subscribing to that perspective to varying extent are presented and discussed, including implicit fitness sharing, semantic GP, co-solvability, trace convergence analysis, pattern-guided program synthesis, and behavioral archives of subprograms. The framework involves several concepts that are new to GP, including execution record, combined trace, and search driver, a generalization of objective function. Empirical evidence gathered in several presented experiments clearly demonstrates the usefulness of behavioral approach. The book contains also an extensive discussion of implications of the behavioral perspective for program synthesis and beyond.

Kategorie:
Informatyka
Kategorie BISAC:
Computers > Artificial Intelligence - General
Computers > Software Development & Engineering - General
Computers > Programming - General
Wydawca:
Springer
Seria wydawnicza:
Studies in Computational Intelligence
Język:
Angielski
ISBN-13:
9783319275635
Rok wydania:
2015
Wydanie:
2016
Numer serii:
000318395
Ilość stron:
172
Waga:
0.45 kg
Wymiary:
16.5 x 27.6 x 1.7
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

"The book advances the state of the art in GP based program synthesis. It is compact (only 147 pages). It offers excellent value and I highly recommend it." (Raja Muhammad Atif Azad, Genetic Programming and Evolvable Machines, Vol. 18, 2017)

Program Synthesis.- Limitations of Conventional Program Evaluation.- The Framework of Behavioral Program Synthesis.- Behavioral Assessment of Test Difficulty.- Semantic Genetic Programming.- Synthesizing Programs with Consistent Execution Traces.- Pattern-guided Program Synthesis.- Behavioral Code Reuse.- Search Drivers.- Experimental Assessment of Search Drivers.- Implications of the Behavioral Perspective.- Future Perspectives.

Genetic programming (GP) is a popular heuristic methodology of program synthesis with origins in evolutionary computation. In this generate-and-test approach, candidate programs are iteratively produced and evaluated. The latter involves running programs on tests, where they exhibit complex behaviors reflected in changes of variables, registers, or memory. That behavior not only ultimately determines program output, but may also reveal its `hidden qualities' and important characteristics of the considered synthesis problem. However, the conventional GP is oblivious to most of that information and usually cares only about the number of tests passed by a program. This `evaluation bottleneck' leaves search algorithm underinformed about the actual and potential qualities of candidate programs.

 

This book proposes behavioral program synthesis, a conceptual framework that opens GP to detailed information on program behavior in order to make program synthesis more efficient. Several existing and novel mechanisms subscribing to that perspective to varying extent are presented and discussed, including implicit fitness sharing, semantic GP, co-solvability, trace convergence analysis, pattern-guided program synthesis, and behavioral archives of subprograms. The framework involves several concepts that are new to GP, including execution record, combined trace, and search driver, a generalization of objective function. Empirical evidence gathered in several presented experiments clearly demonstrates the usefulness of behavioral approach. The book contains also an extensive discussion of implications of the behavioral perspective for program synthesis and beyond.

 



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