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Miscellaneous Articles Relating to the SP FrameworkCausality, statistical learning and multiple alignment
Paper presented at the UNICOM Tutorial and Seminar on "Causal Models and
Statistical Learning", London, March 1997.
Postscript, Compressed Postscript.
Discusses how "information compression by multiple alignment, unification and search" may illuminate the learning of causal connections and the drawing of causal inferences. Describes how the probabilities of inferences may be calculated. Learning and reasoning as information compression by multiple alignment, unification and search
In Computational Learning and Probabilistic Reasoning,
A. Gammerman (Ed.), Chichester: Wiley, 1996, pp 67-85.
An earlier version was presented at Applied Decision
Technologies 95, Brunel University, April 1995.
Postscript, Compressed Postscript.
Discusses how learning and reasoning may be integrated within the 'multiple alignment' framework. Multiple alignment, cognition and computing
SEECS Report, September 1996.
Postscript, Compressed Postscript,
HTML
(some diagrams may be too wide for printing).
A summary of the multiple alignment proposals. Computing as compression by multiple alignment, unification and search (1 & 2)
SEECS Report, July 1995.
Article 1: Postscript, Compressed Postscript;
Article 2: Postscript, Compressed Postscript.
These two articles describe the possible applications of these ideas to pattern recognition, information retrieval, the execution of simple and composite functions, forms of deductive and abductive reasoning including inheritance of attributes and chains of inference, function induction and other forms of unsupervised learning, and simple forms of problem solving. |
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