{"type":"ScholarlyArticle","title":"Using a Recursive Neural Network to Learn an Agent's Decision Model for Plan Recognition","authors":[{"name":"Francis Bisson","slug":"francis-bisson","given":"Francis","family":"Bisson","affiliation":""},{"name":"Hugo Larochelle","slug":"hugo-larochelle","given":"Hugo","family":"Larochelle","affiliation":""},{"name":"Froduald Kabanza","slug":"froduald-kabanza","given":"Froduald","family":"Kabanza","affiliation":""}],"abstract":"Plan recognition, the problem of inferring the goals or plans of an observed agent, is a key element of situation awareness in human-machine and machine-machine interactions for many applications. Some plan recognition algorithms require knowledge about the potential behaviours of the observed agent in the form of a plan library, together with a decision model about how the observed agent uses the plan library to make decisions. It is however difficult to elicit and specify the decision model a priori. In this paper, we present a recursive neural network model that learns such a decision model automatically. We discuss promising experimental results of the approach with comparisons to selected state-of-the-art plan recognition algorithms on three benchmark domains.","doi":null,"url":"https://ijcai.org/proceedings/2015/134","pdf":"https://ijcai.org/proceedings/2015/0134.pdf","markdown":"https://ijcai.org/proceedings/2015/134.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/134","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Machine Learning","track":"Main Track","number":134,"pages":{"first":918,"last":923},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}