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Open Access research that is exploring the innovative potential of sustainable design solutions in architecture and urban planning...

Strathprints makes available scholarly Open Access content by researchers in the Department of Architecture based within the Faculty of Engineering.

Research activity at Architecture explores a wide variety of significant research areas within architecture and the built environment. Among these is the better exploitation of innovative construction technologies and ICT to optimise 'total building performance', as well as reduce waste and environmental impact. Sustainable architectural and urban design is an important component of this. To this end, the Cluster for Research in Design and Sustainability (CRiDS) focuses its research energies towards developing resilient responses to the social, environmental and economic challenges associated with urbanism and cities, in both the developed and developing world.

Explore all the Open Access research of the Department of Architecture. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2009 | 2006 | 1997
Number of items: 5.

2009

Gerevini, A.E. and Haslum, P. and Long, D. and Saetti, A. and Dimopoulos, Y. (2009) Deterministic planning in the fifth international planning competition: pddl3 and experimental evaluation of the planners. Artificial Intelligence, 173 (5-6). pp. 619-668. ISSN 0004-3702

Fox, M. and Thiebaux, S. (2009) Advances in automated plan generation. Artificial Intelligence, 173 (5-6). pp. 501-502. ISSN 0004-3702

Coles, A.I. and Fox, M. and Halsey, K. and Long, D. and Smith, A. (2009) Managing concurrency in temporal planning using planner-scheduler interaction. Artificial Intelligence, 173 (1). pp. 1-44.

2006

Fox, M. and Ghallab, M. and Infantes, G. and Long, D. (2006) Robot introspection through learned hidden Markov models. Artificial Intelligence, 170 (2). pp. 59-113. ISSN 0004-3702

1997

McCluskey, L. and Porteous, J. (1997) Engineering and Compiling Planning Domain models to promote. Artificial Intelligence, 95 (1). pp. 1-65. ISSN 0004-3702

This list was generated on Fri Feb 15 18:52:41 2019 GMT.