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

• Published in: IEEE transactions on automation science and engineering Vol. 13; no. 1; pp. 54 - 67
• Main Authors: Reverdy, Paul, Leonard, Naomi Ehrich
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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...