Thesis (PhD) -- University of South Australia, 1999

Project report (M.S.)--Virginia Polytechnic Institute and State University, 1990. / Vita. Abstract. Includes bibliographical references (leaves 106-108). Also available via the Internet.

Thesis (PhD) - Swinburne University of Technology, Industrial Research Institute Swinburne - 2006. / A thesis submitted to the Industrial Research Institute, Faculty of Engineering and Industrial Sciences, in fulfillment of the requirements for the degree of Doctor of Philosophy, Swinburne, ne University of Technology - 2006. Typescript. Includes bibliographical references (p. 218-229).

Thesis (doctoral)--Technische Universiteit Delft, 1998. / Summary also in Dutch. Includes bibliographical references.

Thesis (M.S.)--Ohio University, August, 1990. / Title from PDF t.p.

Thesis (M.S.)--Ohio University, November, 1995. / Title from PDF t.p.

Thesis (doctoral)--Technische Universiteit Delft, 1998. / Summary also in Dutch. Includes bibliographical references.

Thesis (Ph. D.)--University of Hong Kong, 2005.

Thesis (M.S.)--Ohio University, June, 2002. / Title from PDF t.p. Includes bibliographical references (leaves 136-137)

M.Sc. (Computer Science) / This study comprises an investigation into and a discussion of Artificial Intelligence (AI) techniques and methods which are suitable for the implementation of a computerised intelligent autonomous manufacturing environment. To this end neural networks, fuzzy logic, genetic algorithms and Petri nets are discussed. The purpose is to define a broad framework for the implementation and integration of intelligence in the Computer Integrated Manufacturing (CIM) environment. A number of examples have been used throughout the study in order to illustrate the relevant function or concept. Currently there is a lack of an integrated structured developmental approach towards the implementation of AI techniques in the CIM industry. In this dissertation we examine the relevant topics in some detail before progressing to the development of the Real-time Artificial Intelligence Agent Model (RAIAM) framework. The RAIAM framework establishes an environment suitable for the insertion and application of AI techniques and methods into a computerised CIM system structure. This is accomplished by the establishment of a centralised database and message handling unit, and by the usage of intelligent modular agents. An expert database system (EDS) based on a centralised blackboard design is used as the structural basis for RAIAM. Although it makes use of this centralised database system, it is a largely modular approach as it makes use of agents to communicate and process information and actions.