Skip navigation
SuUB logo
DSpace logo

  • Home
  • Institutions
    • University of Bremen
    • City University of Applied Sciences
    • Bremerhaven University of Applied Sciences
  • Sign on to:
    • My Media
    • Receive email
      updates
    • Edit Account details

Citation link: https://nbn-resolving.de/urn:nbn:de:gbv:46-00107054-13
00107054-1.pdf
OpenAccess
 
copyright

comRAT-C : A Computational Compound Remote Associate Test Solver based on Language Data and its Comparison to Human Performance


File Description SizeFormat
00107054-1.pdf940.27 kBAdobe PDFView/Open
Authors: Olteteanu, Ana-Maria  
Other participants: Falomir, Zoe
Abstract: 
Discovering the processes and types of knowledge organization which are involved in a creative pro- cess is a challenge up to this date. Human creativity is usually measured by psychological tests, such as the Remote Associates Test (RAT). In this paper, an approach based on a specific type of knowl- edge organization and processes which enables automatic solving of RAT queries is implemented (comRAT) as a part of a more general cognitive theoretical framework for creative problem-solving (CreaCogs). This aims to study: a) whether a convergence process can be used to solve such queries and b) if frequency of appearance of the test items in language data may influence knowledge associ- ation or discovery in solving such problems. The comRAT uses a knowledge base of language data extracted from the Corpus of Contemporary American English. The results obtained are compared to results obtained in empirical tests with humans. In order to explain why some answers might be preferred over others, frequencies of appearance of the queries and solutions are analysed. Human difficulty when solving RAT queries is expressed in response times and percentage of participants solving the query, and a significant moderate correlation between human data and the data provided by this approach is obtained.
Keywords: Cognitive Science; Artificial Intelligence; Cognitive Computing; Models of Creativity & of Creative Processes; Creative Problem Solving; Creative Thinking and Problem Solving; Remote Associates Test
Issue Date: 2015
Journal/Edited collection: Pattern Recognition Letters 
Series: Cognitive Systems for Knowledge Discovery 
Volume: 67
Type: Artikel/Aufsatz
ISSN: 0167-8655
Secondary publication: no
URN: urn:nbn:de:gbv:46-00107054-13
Institution: Universität Bremen 
Faculty: Fachbereich 03: Mathematik/Informatik (FB 03) 
Appears in Collections:Forschungsdokumente

  

Page view(s)

327
checked on May 11, 2025

Download(s)

203
checked on May 11, 2025

Google ScholarTM

Check


Items in Media are protected by copyright, with all rights reserved, unless otherwise indicated.

Legal notice -Feedback -Data privacy
Media - Extension maintained and optimized by Logo 4SCIENCE