Discover a better theory
In recent years, the theory of human decision making has skyrocketed. However, these theories are often difficult to distinguish from each other and offer less improvement in explaining decision-making patterns than previous theories.Peterson et al. Leverage machine learning to evaluate classical decision theory, improve predictability, and generate new theories of decision making (see Perspectives by Bhatia and He). This method affects the generation of theory in other areas.
Science, Abe2629, this issue p. 1209abi7668, p. See also. 1150
Predicting and understanding how people make decisions is a long-standing goal in many areas, along with a quantitative model of human decision-making that informs both social science and engineering research. did. Show how large datasets can be used to accelerate progress towards this goal by enhancing machine learning algorithms that are constrained to generate interpretable psychological theories. .. Historical discoveries by conducting the largest experiments on risky choices to date and analyzing the results using gradient-based optimizations of differentiable decision theory implemented via artificial neural networks. A new, more accurate model of human decision-making in the form of summarizing, confirming that there is room for improvement of existing theories, and preserving insights from centuries of research.
Discover the theory of human decision-making using extensive experimentation and machine learning
Source link Discover the theory of human decision-making using extensive experimentation and machine learning
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