Combining Top-Down and Bottom-Up Approaches for Automated Discovery of Typed Programs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F17%3A00490832" target="_blank" >RIV/67985807:_____/17:00490832 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SSCI.2017.8285209" target="_blank" >http://dx.doi.org/10.1109/SSCI.2017.8285209</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SSCI.2017.8285209" target="_blank" >10.1109/SSCI.2017.8285209</a>
Alternative languages
Result language
angličtina
Original language name
Combining Top-Down and Bottom-Up Approaches for Automated Discovery of Typed Programs
Original language description
Automated program discovery has been mainly approached via Genetic Programming, which represents the search space of programs implicitly by a collection of individuals. In this paper, we propose a way of representing program search space explicitly, with a top-down hierarchy of semi-constructed programs. Together with a bottom-up generation procedure, we maintain an overview of the overall search space structure, while being able to quickly get samples from the fringe. Moreover, having a type system with parametric polymorphism allows us to limit the state space size using type level programming while keeping a complete control over program sizes. Our approach can naturally be used for searching the space of programs using tree search methods. We back this claim by a simple experiment utilizing a Monte-Carlo Tree Search algorithm, though other search methods (such as A*) might be used as well.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SSCI 2017 IEEE Symposium Series on Computational Intelligence
ISBN
978-1-5386-2726-6
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
938-945
Publisher name
IEEE
Place of publication
New York
Event location
Honolulu
Event date
Nov 27, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000428251401003