Parameter Estimation in Softmax Decision-Making Models With Linear Objective Functions

We contribute to the development of a systematic means to infer features of human decision-making from behavioral data. Motivated by the common use of softmax selection in models of human decision-making, we study the maximum-likelihood (ML) parameter estimation problem for softmax decision-making m...

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Vydané v:	IEEE transactions on automation science and engineering Ročník 13; číslo 1; s. 54 - 67
Hlavní autori:	Reverdy, Paul, Leonard, Naomi Ehrich
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Asymptotic methods Asymptotic properties Automation Biological system modeling Convergence Data models Decision making estimation Estimators Human Human behavior Linear programming Mathematical models Maximum likelihood method Parameter estimation Stochastic models Stochastic processes
ISSN:	1545-5955, 1558-3783
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