Learning and recognition of sketches for complex computational cognition - Position paper

Autor(en): Schwering, A.
Krumnack, U. 
Gust, H.
Kühnberger, K.-U. 
Stichwörter: Analogical reasoning; Cognitive process; Concept formation; Different structure; Position papers; Sensory input, Artificial intelligence; Scheduling, Object recognition
Erscheinungsdatum: 2009
Enthalten in: Workshop Proceedings - 32nd Annual Conference on Artificial Intelligence, KI 2009 - Workshop on Planning, Scheduling, Design, and Configuration, PuK 2009
Startseite: 29
Seitenende: 40
Zusammenfassung: 
In order to enable machines to operate intelligently in their environment, it is important that they do not only collect sensory input about their environment, but also recognize and understand objects. Analogical reasoning is considered fundamental for many complex cognitive processes. In this paper, we present an experiment which gives empirical support of our hypothesis that object recognition and concept formation rely fundamentally on analogical similarities. Similar object sketches with the same structure are recognized faster and more frequently than similar object sketches with different structure. Afterwards, we introduce our analogy-making framework Heuristic-Driven Theory Projection (HDTP) and explain how HDTP can be used for object recognition.
Beschreibung: 
Conference of 32nd Annual Conference on Artificial Intelligence, KI 2009 - 23rd Workshop on Planning, Scheduling, Design, and Configuration, PuK 2009 ; Conference Date: 15 September 2009 Through 18 September 2009; Conference Code:96160
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875705554&partnerID=40&md5=c9bf17c13f794742c2426b8c02fb7c72

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