Action Graphs for Performing Goal Recognition Design on Human-Inhabited Environments.

ABSTRACT: Goal recognition is an important component of many context-aware and smart environment services; however, a person's goal often cannot be determined until their plan nears completion. Therefore, by modifying the state of the environment, our work aims to reduce the number of observations required to recognise a human's goal. These modifications result in either: Actions in the available plans being replaced with more distinctive actions; or removing the possibility of performing some actions, so humans are forced to take an alternative (more distinctive) plan. In our solution, a symbolic representation of actions and the world state is transformed into an Action Graph, which is then traversed to discover the non-distinctive plan prefixes. These prefixes are processed to determine which act

SUBMITTER: Harman H 

PROVIDER: S-EPMC6630511 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature