Andrew Howes — accepted AI-conference papers

2024

Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice

Sebastiaan De Peuter, Shibei Zhu, Yujia Guo, Andrew Howes, Samuel Kaski

NeurIPS 2024poster

Preference learning methods make use of models of human choice in order to infer the latent utilities that underlie human behavior. However, accurate modeling of human choice behavior is challenging due to a range of context effects that arise from how humans contrast and evaluate options. Cognitive…

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2021

Apparently Irrational Choice as Optimal Sequential Decision Making

Haiyang Chen, Hyung Jin Chang, Andrew Howes

AAAI 2021technical

In this paper, we propose a normative approach to modeling apparently human irrational decision making (cognitive biases) that makes use of inherently rational computational mechanisms. We view preferential choice tasks as sequential decision making problems and formulate them as Partially Observabl…

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