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  4. Towards Cognitive Social Machines for Bridging the Cognitive-Computational Gap in Creativity and Creative Reasoning
 
Zitierlink URN
https://nbn-resolving.de/urn:nbn:de:gbv:46-00107051-10

Towards Cognitive Social Machines for Bridging the Cognitive-Computational Gap in Creativity and Creative Reasoning

Veröffentlichungsdatum
2017
Autoren
Olteteanu, Ana-Maria  
Zusammenfassung
This position paper presents a view on bridging the cognitive-computational gap in the field of creativity, creative reasoning and problem solving. Starting from the levels of Cognition and Computation, their potential bootstrap is discussed in relation to the concept of Cognitive Social Machines. Five distinct aspects of bridging the cognitive- computational gap in creative reasoning using cognitive social machines are described and discussed in the creativity domain. These aspects refer to (i) building systems and models which solve creative reasoning tasks; (ii) computationally generated tools for a deeper understanding of cognition; (iii) cognitively-inspired processes and knowledge representation types; (iv) computational cognitive assistance, support and training and (v) evaluative informativity metrics for cognitive social machines.
Schlagwörter
Cognitive Science

; 

Artificial Intelligence

; 

Cognition

; 

Social Machines

; 

Cognitive systems
Verlag
RWTH Aachen
Institution
Universität Bremen  
Fachbereich
Fachbereich 03: Mathematik/Informatik (FB 03)  
Dokumenttyp
Konferenzbeitrag
Zeitschrift/Sammelwerk
Bridging 2017 : Bridging the Gap between Human and Automated Reasoning : proceedings of the Workshop on Bridging the Gap between Human and Automated Reasoning - Is logic and automated reasoning a foundation for human reasoning? : co-located with 39th Annual Meeting of the Cognitive Science Society (CogSci 2017) : London, UK, July 26, 2017 = CEUR Workshop Proceedings ; Band 1994
Zweitveröffentlichung
Ja
Dokumentversion
Published Version
Lizenz
Alle Rechte vorbehalten
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

00107051-1.pdf

Size

786.99 KB

Format

Adobe PDF

Checksum

(MD5):80cd28650cbe24c02842cb0100b9b0eb

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