A Computational Model of Complex Concept Composition (1996)
C. Andersen
Complex concept composition is the joining of information from two existing concepts to form a third, more complex concept. Accounts of how concepts are composed are of great theoretical and practical importance. Such compositions are a part of most human cognitive functions, and are therefore of great interest to cognitive scientists. Knowledge engineers study composition for a different reason: to discover efficient techniques for building conceptual knowledge bases. This thesis presents a composition mechanism that draws upon psychological views of concepts as theories, sets of interrelated facts. Such a mechanism more accurately models the interaction between two concepts' features in the composition process and explains psychological data about concept composition which past models cannot account for. The mechanism also serves as a useful framework for efforts to build modular, reuseable concepts
Masters Thesis, Department of Computer Science, University of Texas at Austin.