Download Artificial Intelligence in Design ’98 by Tim Smithers (auth.), John S. Gero, Fay Sudweeks (eds.) PDF

By Tim Smithers (auth.), John S. Gero, Fay Sudweeks (eds.)

The improvement of computational types of layout based at the man made intelligenceparadigm has supplied an impetus for muchofcurrentdesign examine. As man made intelligence has matured and built new techniques so the effect ofthese new methods on layout examine has been felt. this is often obvious within the wayconcepts from cognitive technology has discovered theirway into man made intelligence and as a result into layout study. And, additionally within the manner during which agent-based structures arebeingincorporated into layout platforms. In layout study there's an expanding blurring among notions drawn from man made intelligence and people drawn from cognitive technological know-how. while a couple of years in the past the focal point was once mostly on utilizing synthetic intelligence to designing as an task, therefore treating designing as a kind ofproblem fixing, at the present time we're seeing a wider sort ofconceptions of the function of man-made intelligence in aiding to version and understand designing as a strategy. hence, we see papers during this quantity that have as their concentration the advance or implementationofframeworks for man made intelligence in layout - trying to verify a different locus for those principles. We see papers which try and locate foundations for the improvement of instruments in keeping with the synthetic intelligence paradigm; usually the rules come from cognitive studiesofhuman designers.

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Extra resources for Artificial Intelligence in Design ’98

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Applications of the Activity/Space Ontology The A/S ontology can serve as the basis for the development of a knowledge source and as an organisational structure for a dynamic design document. In this section, we describe the following current and potential applications of the A/S ontology: a web-based design document, a multimedia case library of building designs, and a hypothesis for knowledge discovery from design documentation. 1. STRUCTURING WEB-BASED DESIGN DOCUMENTS Recent developments in network technology has lead to the extensive use of the internet as a protocol for sharing and transferring design data.

Simoff, S. 1. and Maher, M. : 1997, Implicit knowledge in symbolic case bases: Where, what and way to discovery, Tenth Australian Joint Conference on Artificial Intelligence, Perth, Australia. Uschold, M. : 1996, Ontologies: Principles, methods and applications, The Knowledge Engineering Review. : 1996, Parts, wholes, and part-whole relations: The prospects of mereotopology, Data and Knowledge Engineering. html. : 1995, Product models and beyond, in P. Brandon, and M. (eds), Integrated Construction Information, E & FN Spon/Chapman and Hall, London, 160-172.

KNOWLEDGE DISCOVERY FROM DESIGN DOCUMENTS Knowledge discovery (KD) is the process of examining a data source for implicit information that one is unaware of prior to the discovery and recording this information in explicit form. KD involves the identification of potentially useful and understandable patterns in this data. The basis of a KD technique is the discovery method, which computes and evaluates groupings, patterns and relationships in the considered data set. There are numerous discovery methodologies and discovery algorithms, based on procedures drawn from inductive logic, statistics, cluster and discriminant analysis, and machine learning.

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