IncReD is investigating incremental human reasoning in dialogue by combining insights from different fields involved in dialogue research (e.g. Artificial Intelligence, Linguistics, Psychology). We are experimentally testing how dialogue participants dynamically and incrementally update their common ground and reason using this information, and developing a model to account for our findings. This project integrates state of the art experimental techniques, corpus methods and formal models from syntactic, semantic and pragmatic domains into a model of dialogue.

Specifically we are investigating:

(1) How do people respond to why-questions in dialogue? What does this tell us about the reasoning people do in dialogue, and the resources they use?
(2) What happens in a dialogue (linguistically and interactionally) when there is a mismatch in the resources for reasoning between participants?
(3) How can this incremental human reasoning ability be formally modelled?

Last modified

3 June 2021