https://ir.unisa.ac.za/handle/10500/24122 2026-05-06T12:53:49Z 2026-05-06T12:53:49Z Berman, Sonia Walker, L. https://ir.unisa.ac.za/handle/10500/24173 2018-05-31T01:01:06Z 1986-01-01T00:00:00Z

A high-level interface to a relational database System Berman, Sonia; Walker, L. A high-level language for accessing a relational database is being developed at UCT. The system, known as HAL (High-level Access Language), provides complete data independence as users view the database in terms of objects and their properties. Constraints on data usage can be incorporated in the data definition and enforced by HAL. In this way a simpler, more controlled interface to a relational database is obtained.

1986-01-01T00:00:00Z Ridler, P.F. https://ir.unisa.ac.za/handle/10500/24170 2018-05-31T01:00:20Z 1986-01-01T00:00:00Z

In praise of solid state discs Ridler, P.F. Various ways of using random access memory to emulate a magnetic disc storage system are described and the advantages and disadvantages are enumerated. An algorithm for making use of a solid state disc is given which avoids the user having to take any action when the wanted file is on a magnetic disc or when the solid state disc becomes full.

1986-01-01T00:00:00Z Mende, J. https://ir.unisa.ac.za/handle/10500/24168 2018-05-31T01:00:30Z 1986-01-01T00:00:00Z

Laws and techniques of information systems Mende, J. Research has a utilitarian role of providing the knowledge needed by the designers of mankind's artefacts. In this context four distinct categories of knowledge are identifiable. 1. Laws of Nature describe inherent properties of natural entities found in artefacts. 2. Laws of the Artificial describe contrived properties of artificial entities. 3. Natural Techniques help combine natural entities to form artificial entities. 4. Artificial Techniques help designers combine artificial entities to form artefacts. This classification can be used to identify deficiencies and special features of research on information systems

1986-01-01T00:00:00Z Machanick, Philip https://ir.unisa.ac.za/handle/10500/24167 2018-05-31T01:00:30Z 1986-01-01T00:00:00Z

Low-cost artificial intelligence research tools Machanick, Philip There has been a proliferation of low-cost AI tools. Consideration is given as to how significant research may be conducted using these tools, in the light of experience of developing Al tools on large, expensive machines. As a case study, research in Knowledge Engineering-Based Learning (KEBL) is detailed, with mention of the tools used in the project. Results of the KEBL research are not yet available, but the style of the research is an indication of the potential of the tools described. CR categories: 1.2.5 Artificial Intelligence Programming Languages and Software, J.3 Computer Applications: Life and Medical Sciences

1986-01-01T00:00:00Z