A targe number of problems encountered by structural designers are ill-structured and are either not amenable to an algorithmic solution or the algorithms are too cumbersome and restrictive. Knowledge-based expert systems (KBES) provide a means to assist in the solution of these illstructured problems that demand considerable expertise. KBES also provide a flexible methodology for developing en...

For building design, computational intelligence systems use a knowledge base formed by means of neural network and fuzzy logic (neuro-fuzzy) techniques, from a building design database. The application of such a system to a building design task was preliminarily demonstrated earlier. The present research describes a systematic neural fuzzy modelling of data that forms a knowledge base in a hier...

Graphic Design is the process of creating graphics to meet specific commercial needs based on knowledge of layout principles and esthetic concepts. This is usually an iterative trial and error process which requires a lot of time even for expert designers. This expert knowledge can be modelled, represented and used by a computer to perform design activities. This paper describes a novel approac...

This paper reviews the role of expert judgement to support reliability assessments within the systems engineering design process. Generic design processes are described to give the context and a discussion is given about the nature of the reliability assessments required in the different systems engineering phases. It is argued that, as far as meeting reliability requirements is concerned, the ...

Nira Krumholtz A view of technology processes in human endeavors has guided me and my colleagues to produce a model of these processes. In turn, the model combined with learning and instruction theory has influenced decisions on how students should be taught science and technology subject matter. This article discusses the model and its underlying rationale. Then a brief review of learning theo...

Conventional Artiicial Intelligence techniques such as expert systems have often been found to be too brittle for large-scale applications. Model-based reasoning is a technique for making Artiicial Intelligence software applicable to problems of realistic size. In this working group, we have investigated some fundamental issues in model-based reasoning and various applications in diagnosis, con...

Contemporary educational communications and technology have brought new ways for presentation of museum content. Advances in telecornmunlcations, computers, videography and printing are revolutlonlzing the grounds on which people encounter art, science, and culture. This techndoglcal change Is causing scientlsts and educators to re-think the formats for their material In our museums and, eventu...

Based on the concept of DNA strand displacement and DNA strand algebra we have developed a method for logical inference which is not based on silicon based computing. Essentially, it is a paradigm shift from silicon to carbon. In this paper we have considered the inference mechanism, viz. modus ponens, to draw conclusion from any observed fact. Thus, the present approach to logical inference ba...

In this paper we describe a formal model and a design based on that model of a system which offers knowledge-based support for both specification of the object of audit and specification of the planning of the audit of that object. This model can be compared to a Conceptual Model in the world of Information Systems. The object of audit includes databases containing auditee’s registrations of ec...

CAMEX is an expert system designed to plan machining processes for CNC (Computerized Numerical Control) cutting machines. At the present state of development it is constrained to parts for which 2 l/2 D description is sufficient. For this kinds of parts, CAMEX is able to read a drawing of a workpiece from an ordinary CAD file, to understand its 3-dimensional structure and generate a plan workpi...