Quantum-Like Structure in Multidimensional Relevance Judgements

Sagar Uprety; Prayag Tiwari; Shahram Dehdashti; Lauren Fell; Dawei Song; Peter Bruza; Massimo Melucci

doi:10.1007/978-3-030-45439-5_48

Quantum-Like Structure in Multidimensional Relevance Judgements

Sagar Uprety^*, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza, Massimo Melucci

^*Corresponding author for this work

School of Computer Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory. The field of Quantum Cognition provides an alternative probabilistic model to explain such paradoxical findings. It posits that cognitive systems have an underlying quantum-like structure, especially in decision-making under uncertainty. In this paper, we hypothesise that relevance judgement, being a multidimensional, cognitive concept, can be used to probe the quantum-like structure for modelling users’ cognitive states in information seeking. Extending from an experiment protocol inspired by the Stern-Gerlach experiment in Quantum Physics, we design a crowd-sourced user study to show violation of the Kolmogorovian probability axioms as a proof of the quantum-like structure, and provide a comparison between a quantum probabilistic model and a Bayesian model for predictions of relevance.

Original language	English
Title of host publication	Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Proceedings
Editors	Joemon M. Jose, Emine Yilmaz, João Magalhães, Flávio Martins, Pablo Castells, Nicola Ferro, Mário J. Silva
Publisher	Springer
Pages	728-742
Number of pages	15
ISBN (Print)	9783030454388
DOIs	https://doi.org/10.1007/978-3-030-45439-5_48
Publication status	Published - 2020
Event	42nd European Conference on IR Research, ECIR 2020 - Lisbon, Portugal Duration: 14 Apr 2020 → 17 Apr 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12035 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	42nd European Conference on IR Research, ECIR 2020
Country/Territory	Portugal
City	Lisbon
Period	14/04/20 → 17/04/20

Keywords

Multidimensional relevance
Quantum Cognition
User behaviour

Access to Document

10.1007/978-3-030-45439-5_48

Cite this

Uprety, S., Tiwari, P., Dehdashti, S., Fell, L., Song, D., Bruza, P., & Melucci, M. (2020). Quantum-Like Structure in Multidimensional Relevance Judgements. In J. M. Jose, E. Yilmaz, J. Magalhães, F. Martins, P. Castells, N. Ferro, & M. J. Silva (Eds.), Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Proceedings (pp. 728-742). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12035 LNCS). Springer. https://doi.org/10.1007/978-3-030-45439-5_48

Uprety, Sagar ; Tiwari, Prayag ; Dehdashti, Shahram et al. / Quantum-Like Structure in Multidimensional Relevance Judgements. Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Proceedings. editor / Joemon M. Jose ; Emine Yilmaz ; João Magalhães ; Flávio Martins ; Pablo Castells ; Nicola Ferro ; Mário J. Silva. Springer, 2020. pp. 728-742 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b85a78207fa84ffa9368a400720d91db,

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abstract = "A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory. The field of Quantum Cognition provides an alternative probabilistic model to explain such paradoxical findings. It posits that cognitive systems have an underlying quantum-like structure, especially in decision-making under uncertainty. In this paper, we hypothesise that relevance judgement, being a multidimensional, cognitive concept, can be used to probe the quantum-like structure for modelling users{\textquoteright} cognitive states in information seeking. Extending from an experiment protocol inspired by the Stern-Gerlach experiment in Quantum Physics, we design a crowd-sourced user study to show violation of the Kolmogorovian probability axioms as a proof of the quantum-like structure, and provide a comparison between a quantum probabilistic model and a Bayesian model for predictions of relevance.",

keywords = "Multidimensional relevance, Quantum Cognition, User behaviour",

author = "Sagar Uprety and Prayag Tiwari and Shahram Dehdashti and Lauren Fell and Dawei Song and Peter Bruza and Massimo Melucci",

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year = "2020",

doi = "10.1007/978-3-030-45439-5_48",

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Uprety, S, Tiwari, P, Dehdashti, S, Fell, L, Song, D, Bruza, P & Melucci, M 2020, Quantum-Like Structure in Multidimensional Relevance Judgements. in JM Jose, E Yilmaz, J Magalhães, F Martins, P Castells, N Ferro & MJ Silva (eds), Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12035 LNCS, Springer, pp. 728-742, 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, 14/04/20. https://doi.org/10.1007/978-3-030-45439-5_48

Quantum-Like Structure in Multidimensional Relevance Judgements. / Uprety, Sagar; Tiwari, Prayag; Dehdashti, Shahram et al.
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Proceedings. ed. / Joemon M. Jose; Emine Yilmaz; João Magalhães; Flávio Martins; Pablo Castells; Nicola Ferro; Mário J. Silva. Springer, 2020. p. 728-742 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12035 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Uprety, Sagar

AU - Tiwari, Prayag

AU - Dehdashti, Shahram

AU - Fell, Lauren

AU - Song, Dawei

AU - Bruza, Peter

AU - Melucci, Massimo

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AB - A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory. The field of Quantum Cognition provides an alternative probabilistic model to explain such paradoxical findings. It posits that cognitive systems have an underlying quantum-like structure, especially in decision-making under uncertainty. In this paper, we hypothesise that relevance judgement, being a multidimensional, cognitive concept, can be used to probe the quantum-like structure for modelling users’ cognitive states in information seeking. Extending from an experiment protocol inspired by the Stern-Gerlach experiment in Quantum Physics, we design a crowd-sourced user study to show violation of the Kolmogorovian probability axioms as a proof of the quantum-like structure, and provide a comparison between a quantum probabilistic model and a Bayesian model for predictions of relevance.

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A2 - Martins, Flávio

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ER -

Uprety S, Tiwari P, Dehdashti S, Fell L, Song D, Bruza P et al. Quantum-Like Structure in Multidimensional Relevance Judgements. In Jose JM, Yilmaz E, Magalhães J, Martins F, Castells P, Ferro N, Silva MJ, editors, Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Proceedings. Springer. 2020. p. 728-742. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-45439-5_48

Quantum-Like Structure in Multidimensional Relevance Judgements

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