More Problems in AI Research and How the SP System May Help to Solve Them (Technical Report)
James Gerard Wolff · viXra · 2020
This technical report, an adjunct to the paper in AI research ..., describes some problems in AI research and how the {\em System} (meaning the SP Theory of Intelligence and its realisation in the SP Computer Model) may help to solve them. It also contains a fairly detailed outline of the System. Most of the problems considered in this report are described by leading researchers in AI in interviews with science writer Martin Ford, and presented in his book Architects of Intelligence. Problems and their potential solutions that are described in this report are: the need for more emphasis in research on the use of top-down strategies is met by the way has been developed entirely within a top-down framework; the risk of accidents with self-driving vehicles may be minimised via the theory of generalisation within the System; the need for strong compositionality in the structure of knowledge is met by processes within the Computer Model for unsupervised learning and the organisation of knowledge; although commonsense reasoning and commonsense knowledge are challenges for all theories of AI, the System has some promising features; the programme of research is one of very few working to establishing the key importance of information compression in AI research; Likewise, the programme of research is one of relatively few AI-related research programmes attaching much importance to the biological foundations of intelligence; the System lends weight to 'localist' (as compared with 'distributed') views of how knowledge is stored in the brain; compared with deep neural networks, the System offers much more scope for adaptation and the representation of knowledge; reasons are given for why the important subjects of motivations and emotions have not so far been considered in the programme of research. Evidence in this report, and in AI research ..., suggests that ***the System provides a relatively promising foundation for the development of artificial general intelligence***.