Intrinsically motivated intelligent sensed environments

Authors:
Mary Lou Maher;Kathryn Merrick;Owen Macindoe
Affiliations:
Key Centre of Design Computing and Cognition, University of Sydney, Sydney, NSW, Australia;School of Information Technologies, University of Sydney and National ICT Australia;Key Centre of Design Computing and Cognition, University of Sydney, Sydney, NSW, Australia
Venue:
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Year:
2006

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Abstract

Intelligent rooms comprise hardware devices that support human activities in a room and software that has some level of control over the devices. “Intelligent” implies that the room is considered to behave in an intelligent manner or includes some aspect of artificial intelligence in its implementation. The focus of this paper is intelligent sensed environments, including rooms or interactive spaces that display adaptive behaviour through learning and motivation. We present motivated agent models that incorporate machine learning in which the motivation component eliminates the need for a benevolent teacher to prepare problem specific reward functions or training examples. Our model of motivation is based on concepts of “curiosity”, “novelty” and “interest”. We explore the potential for this model through the implementation of a curious place.