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Pattern recognition of subconscious underpinnings of cognition using ultrametric topological mapping of thinking and memory

Murtagh, Fionn. 2014. Pattern recognition of subconscious underpinnings of cognition using ultrametric topological mapping of thinking and memory. International Journal of Cognitive Informatics and Natural Intelligence, 8(4), ISSN 1557-3958 [Article]

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Abstract or Description

The author reviews the theory and practice of determining what parts of a data set are ultrametric. He describes the potential relevance of ultrametric topology as a framework for unconscious thought processes. This view of ultrametric topology as a framework that complements metric-based, conscious, Aristotelian logical reasoning comes from the work of the Chilean psychoanalyst, Ignacio Matte Blanco. Taking text data, the author develops an algorithm for finding local ultrametricity in such data. He applies that in two case studies. The first relates to a large set of dream reports, and therefore can possibly recall traces of unconscious thought processes. The second case study uses Twitter social media, and has the aim of picking up underlying associations. The author's case studies are selective in regard to names of people and objects, and are focused in order to highlight the principle of his approach, which is one of particular pattern finding in textual data.

(Guest editor of Special Issue on Computational Psychoanalysis.)

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.4018/ijcini.2014100101

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
1 October 2014Published

Item ID:

16192

Date Deposited:

11 Jan 2016 12:17

Last Modified:

15 Jan 2018 11:20

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI:

http://research.gold.ac.uk/id/eprint/16192

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