{"type":"ScholarlyArticle","title":"Learning to Count by Think Aloud Imitation","authors":[{"name":"Laurent Orseau","slug":"laurent-orseau","given":"Laurent","family":"Orseau","affiliation":""}],"abstract":"Although necessary, learning to discover new solutions is often long and difficult, even for supposedly simple tasks such as counting. On the other hand, learning by imitation provides a simple way to acquire knowledge by watching other agents do. In order to learn more complex tasks by imitation than mere sequences of actions, a Think Aloud protocol is introduced, with a new neuro-symbolic network. The latter uses time in the same way as in a Time Delay Neural Network, and is added basic first order logic capacities. Tested on a benchmark counting task, learning is very fast, generalization is accurate, whereas there is no initial bias toward counting.","doi":null,"url":"https://ijcai.org/proceedings/2007/162","pdf":"https://ijcai.org/proceedings/2007/0162.pdf","markdown":"https://ijcai.org/proceedings/2007/162.md","bibtex":"https://ijcai.org/proceedings/2007/bibtex/162","volume":{"slug":"2007","title":"Proceedings of the Twentieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2007","url":"https://ijcai.org/proceedings/2007/","year":2007,"location":"Hyderabad, India","dates":"","editors":"Ramon López de Mántaras","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":162,"pages":{"first":1005,"last":1009},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}