Artificial Cognitive Systems That Can Answer Human Creativity Tests: An Approach and Two Case Studies
| Autor: | Ana-Maria Olteteanu, Zoe Falomir, Christian Freksa |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Cognitive science
Cognitive model Cognitive systems Computer science media_common.quotation_subject 05 social sciences Context (language use) Cognition 02 engineering and technology Creativity Knowledge acquisition 050105 experimental psychology Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Software media_common |
| Zdroj: | IEEE Transactions on Cognitive and Developmental Systems. 10:469-475 |
| ISSN: | 2379-8939 2379-8920 |
| DOI: | 10.1109/tcds.2016.2629622 |
| Popis: | Creative cognitive systems are rarely assessed with the same tools as human creativity. In this paper, an approach is proposed for building cognitive systems which can solve human creativity tests. The importance of using cognitively viable processes, cognitive knowledge acquisition and organization, and cognitively comparable evaluation when implementing creative problem-solving systems is emphasized. Two case studies of artificial cognitive systems evaluated with human creativity tests are reviewed. A general approach is put forward. The applicability of this general approach to other creativity tests and artificial cognitive systems, together with ways of performing cognitive knowledge acquisition for these systems are then explored. |
| Databáze: | OpenAIRE |
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