Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Howes, Andrew P."'
Multi-agent reinforcement learning (MARL) methods, while effective in zero-sum or positive-sum games, often yield suboptimal outcomes in general-sum games where cooperation is essential for achieving globally optimal outcomes. Matrix game social dile
Externí odkaz:
http://arxiv.org/abs/2408.02148
Item Response Theory (IRT) is a well known method for assessing responses from humans in education and psychology. In education, IRT is used to infer student abilities and characteristics of test items from student responses. Interactions with studen
Externí odkaz:
http://arxiv.org/abs/2307.09891
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), April 23--28, 2023, Hamburg, Germany
User models play an important role in interaction design, supporting automation of interaction design choices. In order to do so, model parameters must be estimated from user data. While very large amounts of user data are sometimes required, recent
Externí odkaz:
http://arxiv.org/abs/2307.09878
Autor:
Aushev, Alexander, Putkonen, Aini, Clarte, Gregoire, Chandramouli, Suyog, Acerbi, Luigi, Kaski, Samuel, Howes, Andrew
The problem of model selection with a limited number of experimental trials has received considerable attention in cognitive science, where the role of experiments is to discriminate between theories expressed as computational models. Research on thi
Externí odkaz:
http://arxiv.org/abs/2303.02227
Autor:
Liao, Yi-Chi, Todi, Kashyap, Acharya, Aditya, Keurulainen, Antti, Howes, Andrew, Oulasvirta, Antti
Affordance refers to the perception of possible actions allowed by an object. Despite its relevance to human-computer interaction, no existing theory explains the mechanisms that underpin affordance-formation; that is, how affordances are discovered
Externí odkaz:
http://arxiv.org/abs/2112.12886
Likelihood-free inference (LFI) has been successfully applied to state-space models, where the likelihood of observations is not available but synthetic observations generated by a black-box simulator can be used for inference instead. However, much
Externí odkaz:
http://arxiv.org/abs/2111.01555
Recent work in the behavioural sciences has begun to overturn the long-held belief that human decision making is irrational, suboptimal and subject to biases. This turn to the rational suggests that human decision making may be a better source of ide
Externí odkaz:
http://arxiv.org/abs/2006.04072
Akademický článek
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Autor:
Kangasrääsiö, Antti, Athukorala, Kumaripaba, Howes, Andrew, Corander, Jukka, Kaski, Samuel, Oulasvirta, Antti
An important problem for HCI researchers is to estimate the parameter values of a cognitive model from behavioral data. This is a difficult problem, because of the substantial complexity and variety in human behavioral strategies. We report an invest
Externí odkaz:
http://arxiv.org/abs/1612.00653
Akademický článek
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