How Computers Discover How Computers Discover (a review of algorithmic meta-discovery)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03109201" target="_blank" >RIV/68407700:21230/05:03109201 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
How Computers Discover How Computers Discover (a review of algorithmic meta-discovery)
Original language description
In traditional exerimental sciences one forms hypotheses explaining an empirical sample of some natural phenomenon. The hypothesis discovery process can in certain cases be automated using machine learning algorithms. I discuss some consequences of viewing scientific discovery, primarily computer based, itself as a natural phenomenon, whose empirical sample may be analyzed or hypothesized about. This viewpoint frames some recent findings about the statistical properties of computationally intensive discovery processes (phase transitions in complexity of learning, heavy-tailed runtime distributions of hypothesis search), empirical assessments of the Occam's razor principle, as well as the issue of meta learning (such as `discovering how to discover best'). Here I review these points and conclude with a few speculative thoughts.
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1P05ME755" target="_blank" >1P05ME755: Methods of statistical search for improving the efficiency of relational mechine learning algorithms</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Interdisciplinary Aspects of Human-Machine Co-existence and Co-operation
ISBN
80-01-03275-2
ISSN
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e-ISSN
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Number of pages
15
Pages from-to
175-189
Publisher name
Vydavatelství ČVUT
Place of publication
Praha
Event location
Praha
Event date
Jul 3, 2005
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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