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Perceiving and acting out of the box
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS)ORCID-id: 0000-0002-8631-7863
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS)ORCID-id: 0000-0002-4001-2087
2019 (engelsk)Inngår i: Proceedings of the 7th International Workshop on Artificial Intelligence and Cognition / [ed] Angelo Cangelosi, Antonio Lieto, CEUR-WS , 2019, Vol. 2483Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper discusses potential limitations in learning in au-tonomous robotic systems that integrate several specialized subsystemsworking at different levels of abstraction. If the designers have antici-pated what the system may have to learn, then adding new knowledgeboils down to adding new entries in a database and/or tuning parametersof some subsystem(s). But if this new knowledge does not fit in prede-fined structures, the system can simply not acquire it, hence it cannot“think out of the box” designed by its creators. We show why learningout of the box may be difficult in integrated systems, hint at some exist-ing potential approaches, and finally suggest that a better approach maycome by looking at constructivist epistemology, with focus on Piaget’sschemas theory.

sted, utgiver, år, opplag, sider
CEUR-WS , 2019. Vol. 2483
Emneord [en]
Artificial Intelligence, Learning, Cognitive Architecture
HSV kategori
Forskningsprogram
Datalogi
Identifikatorer
URN: urn:nbn:se:oru:diva-79697OAI: oai:DiVA.org:oru-79697DiVA, id: diva2:1390807
Konferanse
7th International Workshop on Artificial Intelligence and Cognition, Manchester, UK, September 10-11, 2019
Tilgjengelig fra: 2020-02-03 Laget: 2020-02-03 Sist oppdatert: 2020-02-14bibliografisk kontrollert

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