I have specified in Chap. 11 the different concepts as defined by Zakaria 1994) in his thesis which characterize sequence types. However, this does not help in identifying what concept should be tried when given an IQ test sequence. For this it is required to identify features of sequences and associate them with the range of generating concepts. The problem is that the features assigned can apply to more than one concept. This issue can be readdressed as a form of pattern recognition in which the pattern of features will identify the most likely concept to apply to a particular sequence.
KeywordsPattern recognition Running probability Training Direct DL and window WL learning Closed inference
- Addis TR (1985) Designing knowledge-based systems. Originally Kogan Page, now Chapman & Hall, Published October. Hardback: ISBN 0 85038 859 7. Soft back: ISBN 1 85091 251 3Google Scholar
- Eysenck HJ (1974a) Check your own I.Q. Penguin Books, LondonGoogle Scholar
- Eysenck HJ (1974b) Know your own I.Q. Penguin Books, LondonGoogle Scholar
- Wason PC, Johnson-Laird PN (1968) Thinking and reasoning, penguin modern psychology UPS 11. Penguin Book, New YorkGoogle Scholar
- Zakaria MS (1994) A model of machine intelligence based on the pragmatic approach. PhD Thesis, Computer science department, University of Reading MarchGoogle Scholar