A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Probabilistic Plan Inference for Group Behavior Prediction
2012
IEEE Intelligent Systems
In this paper, we present a decision-theoretic approach to plan inference. Based on the assumption that a rational agent will adopt a plan that maximizes its expected utility, we view plan inference as reasoning about the decision-making strategy of the observed agent. Different from the previous related work, our approach explicitly takes the observed agent's preferences into consideration, and computes the expected utilities of plans to disambiguate competing hypotheses. We use online group
doi:10.1109/mis.2010.133
fatcat:3jpbuq25aveajhjvxbb6vawhbq