Underpinnings of complex problem solving: A machine-learning approach to study the effects of cognitive variables, perseverance, openness and background.

Musso, Mariel; Cascallar, Eduardo; Greiff, Samuel

No full text

Poster (Scientific congresses, symposiums and conference proceedings)

Underpinnings of complex problem solving: A machine-learning approach to study the effects of cognitive variables, perseverance, openness and background.

Musso, Mariel; Cascallar, Eduardo; Greiff, Samuel

2017 • 2nd International Convention of Psychological Science

Permalink
https://hdl.handle.net/10993/31898

Files (0)Send to Details Statistics Bibliography Similar publications

Files

Full Text

No document available.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Disciplines :

Theoretical & cognitive psychology

Author, co-author :

Musso, Mariel

Cascallar, Eduardo

Greiff, Samuel ; University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS)

External co-authors :

yes

Language :

English

Title :

Underpinnings of complex problem solving: A machine-learning approach to study the effects of cognitive variables, perseverance, openness and background.

Publication date :

March 2017

Event name :

2nd International Convention of Psychological Science

Event place :

Vienna, Austria

Event date :

from 23-03-2017 to 25-03-2017

Available on ORBilu :

since 15 August 2017

Statistics

Number of views

85 (1 by Unilu)

Number of downloads

0 (0 by Unilu)

More statistics