UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Quantum-Like Structure in Multidimensional Relevance Judgements

Uprety, Sagar; Tiwari, Prayag; Dehdashti, Shahram; Fell, Lauren; Song, Dawei; Bruza, Peter; Melucci, Massimo; (2020) Quantum-Like Structure in Multidimensional Relevance Judgements. In: Jose, Joemon M and Yilmaz, Emine and Magalhães, João and Castells, Pablo and Ferro, Nicola and Silva, Mário J and Martins, Flávio, (eds.) Advances in Information Retrieval: 42nd European Conference on IR Research. (pp. 728-742). Springer International Publishing: Cham, Switzerland. Green open access

[thumbnail of quantum-like-structure-ecir-2020.pdf]
Preview
Text
quantum-like-structure-ecir-2020.pdf - Accepted Version

Download (1MB) | Preview

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.

Type: Book chapter
Title: Quantum-Like Structure in Multidimensional Relevance Judgements
ISBN-13: 978-3-030-45438-8
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-45439-5_48
Publisher version: https://doi.org/10.1007/978-3-030-45439-5_48
Language: English
Additional information: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10188495
Downloads since deposit
36Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item