Towards Goal Based Architecture Design for Learning High-Level Representation of Behaviors from Demonstration
2013 (English)In: 2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2013, 67-74 p.Conference paper (Refereed)
This paper gives a brief overview of challenges indesigning cognitive architectures for Learning fromDemonstration. By investigating features and functionality ofsome related architectures, we propose a modular architectureparticularly suited for sequential learning high-levelrepresentations of behaviors. We head towards designing andimplementing goal based imitation learning that not only allowsthe robot to learn necessary conditions for executing particularbehaviors, but also to understand the intents of the tutor andreproduce the same behaviors accordingly.
Place, publisher, year, edition, pages
2013. 67-74 p.
Learning from Demonstration, Cognitive Architecture, Goal Based Imitation
Research subject Computing Science
IdentifiersURN: urn:nbn:se:umu:diva-67930DOI: 10.1109/CogSIMA.2013.6523825ISI: 000325568600010ISBN: 978-1-4673-2437-3OAI: oai:DiVA.org:umu-67930DiVA: diva2:615108
3rd IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2013, 25 February 2013 through 28 February 2013, San Diego, CA
FunderEU, FP7, Seventh Framework Programme, 238486