Discovery of symbols in design. (2015)

• Record Type: Journal Article
• Authors: Dabbeeru, Madan Mohan
• Is Part Of: International journal of intelligent engineering informatics. Volume 3: Number 1 (2015)
• Page Start: 1
• Page End: 22
• Publication Date: 2015
• Subjects: image schema -- cognitive architecture -- expertise -- design semantics -- grounded symbol acquisition -- infant designers -- nonlinear manifold learning -- principal component analysis -- PCA -- symbol discovery -- CAD -- design variables -- grounded symbols; Artificial intelligence -- Engineering applications -- Periodicals; Engineering -- Computer programs -- Periodicals; Knowledge management -- Periodicals; 620.0028563
• Languages: English
• ISSNs: 1758-8715

Abstract

In this work, we propose a mechanism for learning grounded symbols based on design experience as acquired by a CAD system. We discover the functionally feasible regions (FFRs) lying along lower dimensional surfaces or manifolds, reflecting latent interdependencies between design variables (sometimes called chunks) constitute the intermediate step between raw experience and the eventual symbol that arises after these patterns become stabilised through communication. We search this lower–dimensional manifolds using either linear or nonlinear techniques, and demonstrate low–dimensionality at three stages of an 'infant designer': a) learning image schemas for fits and clearances using linear algorithms; b) universal motor, 2–parameter - learning a non–linear manifold; c) universal motor, 8–parameter, reducing to two parameters or chunks using both linear and nonlinear mappings.