scholarly journals Neural Mechanisms for Information Compression by Multiple Alignment, Unification and Search

2003 ◽  
Author(s):  
J Gerard Wolff
Keyword(s):  
Multiple Alignment ◽  
Neural Mechanisms ◽  
Information Compression

scholarly journals The Potential of the SP System in Machine Learning and Data Analysis for Image Processing

2021 ◽  
Vol 5 (1) ◽  
pp. 7
Author(s):  
J. Gerard Wolff
Keyword(s):  
Pattern Recognition ◽  
Human Learning ◽  
Multiple Alignment ◽  
Scene Analysis ◽  
Syntactic Parsing ◽  
Information Compression ◽  
Levels Of Abstraction ◽  
Theory Of Intelligence ◽  
The Face ◽  
Multiple Levels

This paper aims to describe how pattern recognition and scene analysis may with advantage be viewed from the perspective of the SP system (meaning the SP theory of intelligence and its realisation in the SP computer model (SPCM), both described in an appendix), and the strengths and potential of the system in those areas. In keeping with evidence for the importance of information compression (IC) in human learning, perception, and cognition, IC is central in the structure and workings of the SPCM. Most of that IC is achieved via the powerful concept of SP-multiple-alignment, which is largely responsible for the AI-related versatility of the system. With examples from the SPCM, the paper describes: how syntactic parsing and pattern recognition may be achieved, with corresponding potential for visual parsing and scene analysis; how those processes are robust in the face of errors in input data; how in keeping with what people do, the SP system can “see” things in its data that are not objectively present; the system can recognise things at multiple levels of abstraction and via part-whole hierarchies, and via an integration of the two; the system also has potential for the creation of a 3D construct from pictures of a 3D object from different viewpoints, and for the recognition of 3D entities.

Integration of “rules” and “similarity” in a framework of information compression by multiple alignment, unification, and search

2005 ◽  
Vol 28 (1) ◽  
pp. 36-37
Author(s):  
J. Gerard Wolff
Keyword(s):  
Integrated Model ◽  
Multiple Alignment ◽  
Information Compression

The Simplicity and Power (SP) theory (Wolff 2003a) provides support for Pothos's proposals by illustrating how the effect of “rules” and “similarity” may be achieved within an integrated model that makes no explicit provision for either concept. The theory is described here in outline with simple examples to show how rules and similarity can emerge as properties of the system in learning, reasoning, categorization, and the parsing of language.

Neural mechanisms of intergroup attributions

2014 ◽  
Author(s):  
Jennifer T. Kubota ◽  
Tobias Brosch ◽  
Rachel Mojdehbakhsh ◽  
James S. Uleman ◽  
Elizabeth Phelps
Keyword(s):  
Neural Mechanisms
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