Habilitationsschrift--Universität Fridericiana Karlsruhe. / At head of title: IFO-Institut für Wirtschaftsforschung. Bibliography: p. [133]-137.

Thesis (M.S.)--University of Wisconsin--Madison. / Typescript. eContent provider-neutral record in process. Description based on print version record.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1970. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 348-353).

A series of six consecutive input-output tables has been constructed for the economy of West Malaysia for the period from 1960 to 1965. This thesis provides an evaluation of their efficiency when applied in forecasting intermediate output. A brief review of the theoretical structure of the static input-output model developed by Leontief has been presented. Particular attention has been given to the economic assumptions which are necessary to make the prediction procedure tenable. The basic assumption of constant input coefficients was not tested directly, however. Instead, the empirical usefulness of the input-output system has been evaluated in terms of the quality of predictions it yields. Each of the tables from 1960 to 1964 has been used in turn to predict intermediate sectoral outputs for succeeding years to 1965. Input-output prediction errors were calculated by reference to the observed intermediate outputs set forth in the tables. To test the significance of these errors, a comparison was made with the errors that arose when corresponding projections of intermediate output were made from a naive extrapolation model. In addition the overall effect on the input-output predictions of the length of the forecast period was analyzed and the relative performance of individual sectors was examined. Wherever possible, the efficiency of the West Malaysian tables was compared with that of input-output tables for the Netherlands economy. In general the predictive power of the West Malaysian tables was not impressive. On the average the input-output forecasts proved to be superior to the naive extrapolations only when the prediction period did not exceed two years. For individual sectoral forecasts, the input-output model yielded better predictions of intermediate output in only seven of the 15 sectors considered. In every comparison with the efficiency of the Netherlands tables, the inferiority of the West Malaysian tables was demonstrated. Attempts have been made in the thesis to trace the reasons for the poor performance. Some improvements to the tables have been suggested. / Arts, Faculty of / Vancouver School of Economics / Graduate

This thesis is concerned with aspects of a theory of machine perception. It is shown that a comprehensive theory is emerging from research in computer vision, natural language understanding, cognitive psychology, and Artificial Intelligence programming language technology. A number of aspects of machine perception are characterized. Perception is a recognition process which composes new descriptions of sensory experience in terms of stored stereotypical knowledge of the world. Perception requires both a schema-based formalism for the representation of knowledge and a model of the processes necessary for performing search and deduction on that representation. As an approach towards the development of a theory of machine perception, a computational model of recognition is presented. The similarity of the model to formal mechanisms in parsing theory is discussed. The recognition model integrates top-down, hypothesis-driven search with bottom-up, data-driven search in hierarchical schemata representations. Heuristic procedural methods are associated with particular schemata as models to guide their recognition. Multiple methods may be applied concurrently in both top-down and bottom-up search modes. The implementation of the recognition model as an Artificial Intelligence programming language called MAYA is described. MAYA is a multiprocessing dialect of LISP that provides data structures for representing schemata networks and control structures for integrating top-down and bottom-up processing. A characteristic example from scene analysis, written in MAYA, is presented to illustrate the operation of the model and the utility of the programming language. A programming reference manual for MAYA is included. Finally, applications for both the recognition model and MAYA are discussed and some premising directions for future research proposed. / Science, Faculty of / Computer Science, Department of / Graduate

Thesis (Ph. D.)--University of Pennsylvania, 1995. / Includes bibliographical references (leaves 293-303).

The effects of using the United States input-output table to explain Israel's economic structure was studied, by comparing price data generated on the basis of the U. S. tables and prices observed in the two countries. A substantial difference between prices generated and observed led to the conclusion that the technological structure of the United States cannot be used to approximate Israel's structure. Various adjustments were then applied to the United States coefficient matrix to determine if it could be transformed into a new technological structure which would more closely approximate Israel's economy. Significant improvements were noted by three of the adjustments while one showed no noticeable difference from the results obtained using the unadjusted U.S. matrix. One of the adjustments was found to transform the U.S. coefficient matrix into a new matrix which when multiplied by the observed final demand vector of Israel would predict accurately, output levels and effects of changes in the Israel economy.

Thesis (M.A.)--Guo li Taiwan da xue. / Cover title. Mimeo. copy. Includes bibliographical references.

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