dc.contributor.author |
Machanick, Philip
|
|
dc.date.accessioned |
2018-05-30T12:51:41Z |
|
dc.date.available |
2018-05-30T12:51:41Z |
|
dc.date.issued |
1986 |
|
dc.identifier.citation |
Philip Machanick (1986) Low-cost artificial intelligence research tools Quaestiones Informaticae Vol 4 No 3 1986 |
en |
dc.identifier.issn |
0254-2757 |
|
dc.identifier.uri |
http://hdl.handle.net/10500/24167 |
|
dc.description.abstract |
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 |
en |
dc.language.iso |
en |
en |
dc.publisher |
Computer Society of South Africa (on behalf of SAICSIT) |
en |
dc.subject |
Life and Medical Sciences |
en |
dc.subject |
Artificial Intelligence Programming Languages and Software |
en |
dc.subject |
Computer applications |
en |
dc.title |
Low-cost artificial intelligence research tools |
en |
dc.type |
Article |
en |
dc.description.department |
School of Computing |
en |