Goal Recognition with Variable-Order Markov Models
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 1635-1639.
Abstract
The recognition of the goal a user is pursing when interacting with a software application is a crucial task for an interface agent as it serves as a context for making opportune interventions to provide assistance to the user. The prediction of the user goal must be fast and a goal recognizer must be able to make early predictions with few observations of the user actions. In this work we propose an approach to automatically build an intention model from a plan corpus using Variable Order Markov models. We claim that following our approach, an interface agent will be capable of accurately ranking the most probable user goals in a time linear to the number of goals modeled.Marcelo Gabriel Armentano, Analía A. Amandi
@inproceedings{ijcai2009p273,
title = {Goal Recognition with Variable-Order Markov Models},
author = {Armentano, Marcelo Gabriel and Amandi, Analía},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {1635--1639},
year = {2009},
url = {https://ijcai.org/proceedings/2009/273},
}
TY - CPAPER TI - Goal Recognition with Variable-Order Markov Models AU - Armentano, Marcelo Gabriel AU - Amandi, Analía T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 1635 EP - 1639 UR - https://ijcai.org/proceedings/2009/273 ER -Copied
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