Applying POVM to model non-orthogonality in quantum cognition
Aliakbarzadeh, Mojtaba & Kitto, Kirsty (2016) Applying POVM to model non-orthogonality in quantum cognition. In Quantum Interaction: 9th International Conference, QI 2015, Revised Selected Papers [Lecture Notes in Computer Science, Volume 9535], Springer, Filzbach, Switzerland, pp. 284-293.
Administrators only | Request a copy from author
Much of the work currently occurring in the field of Quantum Interaction (QI) relies upon Projective Measurement. This is perhaps not optimal, cognitive states are not nearly as well behaved as standard quantum mechanical systems; they exhibit violations of repeatability, and the operators that we use to describe measurements do not appear to be naturally orthogonal in cognitive systems. Here we attempt to map the formalism of Positive Operator Valued Measure (POVM) theory into the domain of semantic memory, showing how it might be used to construct Bell-type inequalities.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|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.|
|Keywords:||quantum cognition, semantic memory, POVM, word association|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Applied Mathematics not elsewhere classified (010299)
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) > COGNITIVE SCIENCE (170200) > Linguistic Processes (incl. Speech Production and Comprehension) (170204)
|Divisions:||Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2015 [Please consult the author]|
|Deposited On:||26 Oct 2015 04:58|
|Last Modified:||28 Mar 2016 10:39|
Repository Staff Only: item control page