Agent technology has been used as an organising mechanism for software systems that focus on modularity and autonomy. This paper presents two applications that explore the potential of combining agent technologies with physical building design elements to change the nature of the built environment from a passive space to one that proactively engages with its inhabitants. We focus on how these curious places sense the state of the environment and the activities of the humans in the environment and enhance the human experience, thus going beyond the concept of supporting human activities in traditional approaches to intelligent rooms.
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References
Berlyne, DE: 1960, Conflict, arousal and curiosity, McGraw-Hill, New York.
Brooks, RA et al. 1997, The intelligent room project, The Second International Cognitive Technology Conference (CT’97), Aizu, pp. 271-279.
Coen, M: 1998, Design principles for intelligent environments, The Fifteenth National/Tenth Conference on Artificial Intelligence/Innovative Applications of Artificial Intelligence, Madison, Wisconsin, USA, pp. 547-554.
Dieterich, H, Malinowski, U, Khme, T and Schneider-Hufschmidt, M: 1993, State of the art in adaptive user interfaces. In: M Schneider-Hufschmidt, T Khme and U Malinowski (eds), Adaptive User Interfaces: Principlse and Practice, North Holland, Amsterdam.
Graesser, A, VanLehn, K, Rose, C, Jordan, P. and Harter, D: 2001, Intelligent tutoring systems with conversational dialogue, AI Magazine 22(4): 39-52.
Hanssens, N, Kulkarni, A, Tuchinda, R. and Horton, T: 2002, Building agent-based intelligent workspaces, The Third International Conference on Internet Computing, pp. 675-681.
Johanson, B, Fox, A and Winograd, T: 2002, The interactive workspaces project: experiences with ubiquitous computing rooms, IEEE Pervasive Computing 1(2): 67-74.
Kulkarni, A: 2002, Design principles of a reactive behavioural system for the intelligent room. Bitstream: The MIT Journal of EECS Student Research: 1-5.
Merrick, K and Maher, ML: 2006, Motivated reinforcement learning for non-player characters in persistent computer game worlds, International Conference on Advances in Computer Entertainment Technology, CA, USA, pp. (electronic proceedings).
Raghavan, VV and Wong, SKM: 1986, A critical analysis of vector space model for infor-mation retrieval, Journal of the American Society for Information Science 37(5): 279-87.
Roman, M et al. 2002, A middleware infrastructure for active spaces, IEEE Pervasive Computing 1(4): 74-83.
Rummery, GA and Niranjan, M: 1994, On-line q-learning using connectionist systems. CUED/F-INFENG/TR 166, Cambridge University, Engineering Department.
Saunders, R: 2001, Curious design agents and artificial creativity. PhD Thesis, University of Sydney, Sydney.
Stanley, JC: 1976, Computer simulation of a model of habituation, Nature 261: 146-148.
Watkins, C and Dayan, P: 1992, Q-learning, Machine Learning 8(3): 279-292.
Wooldridge, M and Jennings, N: 1995, Intelligent agents: theory and practice, The Knowledge Engineering Review 10(2): 115-152.
Wundt, W: 1910, Principles of physiological psychology, Macmillan, New York.
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Maher, M.L., Merrick, K., Saunders, R. (2007). From Passive to Proactive Design Elements. In: Dong, A., Moere, A.V., Gero, J.S. (eds) Computer-Aided Architectural Design Futures (CAADFutures) 2007. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6528-6_33
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DOI: https://doi.org/10.1007/978-1-4020-6528-6_33
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