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
.
Abductive Plan Recognition by Extending Bayesian Logic Programs
[chapter]
2011
Lecture Notes in Computer Science
Plan recognition is the task of predicting an agent's top-level plans based on its observed actions. It is an abductive reasoning task that involves inferring cause from effect. Most existing approaches to plan recognition use either first-order logic or probabilistic graphical models. While the former cannot handle uncertainty, the latter cannot handle structured representations. In order to overcome these limitations, we develop an approach to plan recognition using Bayesian Logic Programs
doi:10.1007/978-3-642-23783-6_40
fatcat:s4m6l6545farbonobi4xkuvo7a