Automatic reasoning is applied to building design problems with a large number of standardized conditions, such as normal housing. Industrialized home building can provide quick-to-build low-cost dwellings, but these buildings often are not as appropriate for the local climate, building site or to the occupant needs as tailor-made homes. In this article we present a knowledge-based system (KBS) that combines advantages from both methods. It considers the data corresponding to the building site (dimensions, local building codes .... ), the climate and the purchaser (budget, family size,....) and recommends a particular design.
[1]
Industrialized building and modular design
,
1972
.
[2]
Eugenio Roanes Macías,et al.
Cálculos matemáticos por ordenador con Maple V.5
,
1999
.
[3]
André Heck,et al.
Introduction to Maple
,
1993
.
[4]
J. Owen Lewis,et al.
Energy Conscious Design: A Primer for Architects
,
1993
.
[5]
Eugenio Roanes Lozano,et al.
Un sistema experto sobre normas urbanísticas
,
2002
.
[6]
George Luger,et al.
Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)
,
2004
.