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Projects / Programmes source: ARIS

Reflection in machine learning

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Research activity

Code Science Field Subfield
2.07.07  Engineering sciences and technologies  Computer science and informatics  Intelligent systems - software 

Code Science Field
P176  Natural sciences and mathematics  Artificial intelligence 
Keywords
reflection, machine learning, artificial intelligence, formal systems, recursion
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (7)
no. Code Name and surname Research area Role Period No. of publications
1.  08952  PhD Damjan Bojadžiev  Computer science and informatics  Head  1999 - 2001  78 
2.  05806  PhD Bojan Cestnik  Computer science and informatics  Researcher  1999 - 2001  196 
3.  11973  PhD Matija Drobnič  Computer science and informatics  Researcher  1999 - 2001  63 
4.  08501  PhD Matjaž Gams  Computer science and informatics  Researcher  1999 - 2001  1,689 
5.  17137  Marko Grobelnik  Computer science and informatics  Researcher  1999 - 2001  439 
6.  11562  PhD Viljem Križman  Computer science and informatics  Researcher  1999 - 2001  30 
7.  12570  PhD Dunja Mladenić  Computer science and informatics  Researcher  1999 - 2001  662 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  90,624 
Abstract
The project will formally define useful kinds of computational reflection (using a model of a program within the program itself) by analyzing the capabilities of existing systems and comparing them with properties of reflective formal systems, given by classical recursion theorems and later generalizations. Effects of introducing reflection into systems for machine learning will be analyzed and an optimal kind of reflection will be experimentally built into a chosen system for machine learning, developed within the research unit.
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