Goal Recognition Using Off-The-Shelf Process Mining Techniques

Artem Polyvyanyy
Artem Polyvyanyy
Zihang Su
Zihang Su

AAMAS '19: International Conference on Autonomous Agents and Multiagent Systems Auckland New Zealand May, 2020, pp. 1072-1080, 2020.

Cited by: 0|Bibtex|Views10|DOI:https://doi.org/10.5555/3398761.3398886
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Other Links: dl.acm.org|dblp.uni-trier.de

Abstract:

The problem of probabilistic goal recognition consists of automatically inferring a probability distribution over a range of possible goals of an autonomous agent based on the observations of its behavior. The state-of-the-art approaches for probabilistic goal recognition assume the full knowledge about the world the agent operates in and...More

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