An Extension Of Combinatorial Contextuality For Cognitive Protocols
Abdul Karim Obeid, Peter Bruza, Catarina Moreira, Axel Bruns, Daniel, Angus

TL;DR
This paper extends the combinatorial approach to determine contextuality in cognitive protocols, accounting for causal influences and disturbances, thus aiding the analysis of mental phenomena in quantum cognition.
Contribution
It formalizes the combinatorial approach within causal models and develops techniques to distinguish noise from causal influences in cognitive experiments.
Findings
Extended the combinatorial approach to include disturbance measurement.
Provided formalization within canonical causal models.
Developed a protocol for cognitive experiments to assess contextuality.
Abstract
This article extends the combinatorial approach to support the determination of contextuality amidst causal influences. Contextuality is an active field of study in Quantum Cognition, in systems relating to mental phenomena, such as concepts in human memory [Aerts et al., 2013]. In the cognitive field of study, a contemporary challenge facing the determination of whether a phenomenon is contextual has been the identification and management of disturbances [Dzhafarov et al., 2016]. Whether or not said disturbances are identified through the modelling approach, constitute causal influences, or are disregardableas as noise is important, as contextuality cannot be adequately determined in the presence of causal influences [Gleason, 1957]. To address this challenge, we first provide a formalisation of necessary elements of the combinatorial approach within the language of canonical9 causal…
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Taxonomy
TopicsCognitive Science and Mapping
