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Published in: Artificial Life and Robotics 1/2021

15-09-2020 | Original Article

Choice modeling using dot-product attention mechanism

Authors: Mofei Li, Yutaka Nakamura, Hiroshi Ishiguro

Published in: Artificial Life and Robotics | Issue 1/2021

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Abstract

Modelling the cognitive process is a challenging task. Contextual conditions and the scope of the options are critical factors that influence human decisions. We propose and formulate an attention-based network to model the various choices made by humans based on the various factors that predict the possible option in each scope. To evaluate our proposed method, we conducted a user choice experiment in which a user chose an option from among limited choices. Our results showed that our model successfully extracted the hidden context on the attention layer and even outperformed the chance level in terms of prediction accuracy.

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Metadata
Title
Choice modeling using dot-product attention mechanism
Authors
Mofei Li
Yutaka Nakamura
Hiroshi Ishiguro
Publication date
15-09-2020
Publisher
Springer Japan
Published in
Artificial Life and Robotics / Issue 1/2021
Print ISSN: 1433-5298
Electronic ISSN: 1614-7456
DOI
https://doi.org/10.1007/s10015-020-00638-y

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