Ideologies and their points of view

Kitto, Kirsty & Widdows, Dominic (2016) Ideologies and their points of view. In Quantum Interaction: 9th International Conference, QI 2015, Revised Selected Papers [Lecture Notes in Computer Science, Volume 9535], Springer, Filzbach, Switzerland, pp. 216-227.

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Abstract

It is well known that different arguments appeal to different people. We all process information in ways that are adapted to be consistent with our underlying ideologies. These ideologies can sometimes be framed in terms of particular axes or dimensions, which makes it possible to represent some aspects of an ideology as a region in the kind of vector space that is typical of many generalised quantum models. Such models can then be used to explain and predict, in broad strokes, whether a particular argument or proposal is likely to appeal to an individual with a particular ideology. The choice of suitable arguments to bring about desired actions is traditionally part of the art or science of rhetoric, and today's highly polarised society means that this skill is becoming more important than ever. This paper presents a basic model for understanding how different goals will appeal to people with different ideologies, and thus how different rhetorical positions can be adopted to promote the same desired outcome. As an example, we consider different narratives and hence actions with respect to the environment and climate change, an important but currently highly controversial topic.

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ID Code: 89426
Item Type: Conference Paper
Refereed: Yes
Additional Information: All accepted contributions will be published in a conference proceedings volume in the series Lecture Notes in Computer Science (LNCS) by Springer International Publishing.
Additional URLs:
Keywords: ideologies, point of view model, vector space models, quantum cognition, attitudes
DOI: 10.1007/978-3-319-28675-4_17
ISBN: 978-3-319-28674-7
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > PSYCHOLOGY (170100) > Social and Community Psychology (170113)
Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > COGNITIVE SCIENCE (170200) > Decision Making (170202)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Past > Schools > School of Information Systems
Copyright Owner: Copyright 2015 [Please consult the author]
Deposited On: 26 Oct 2015 04:22
Last Modified: 29 Mar 2016 16:43

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