Researchers at MIT and the University of Washington have developed a new method for modeling the decision-making behaviors of agents, taking into account computational constraints. This model, which can predict future actions from past behavior, aims to improve AI systems’ collaboration with humans by understanding and adapting to human irrationalities and decision-making processes. Credit: SciTechDaily.com
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.
This irrationality, which is especially difficult to model, often boils down to computational constraints. A human can’t spend decades thinking about the ideal solution to a single problem.
Development of a New Modeling Approach
Researchers at MIT and the SciTechDaily