AI Seminar: A Computational Model of Intention Selection
Søren Kyllingsbæk, Professor and Head of Department of Psychology, University of Copenhagen.
At any one time, many intentions are represented in long-term memory and many of these may be relevant in the current context. Therefore, successful control of action by decision-making requires a solution to the computational problem of how the right intention is selected, out of a multitude of intentions, for execution at the right time. We propose a Computational Theory of Intention Selection (CTIS) of how standing distal intentions are selected from long-term memory, transformed into occurrent distal intentions in working memory, and then to proximal occurrent intentions leading to actions.
The seminar is free and open for everyone.
This seminar is a part of the AI Seminar Series organised by SCIENCE AI Centre. The series highlights advances and challenges in research within Machine Learning, Data Science, and AI. Like the AI Centre itself, the seminar series has a broad scope, covering both new methodological contributions, ground-breaking applications, and impacts on society.