[TMP-078] Meta-level amortization for user modeling and collaborative AI
The use of cognitive models to help AI establish common ground in human-AI collaboration, overcoming complexity challenges
In human-AI collaboration, one of the key difficulties is establishing a common ground for the interaction, especially in terms of goals and beliefs. In practice, the AI might not have access to this necessary information directly and must infer it during the interaction with the human. However, training a model to support this kind of inference would require massive collections of interaction data and is not feasible in most applications.
Modern cognitive models, on the other hand, can equip AI tools with the necessary prior knowledge to readily support inference, and hence, to quickly establish a common ground for collaboration with humans. However, utilizing these models in realistic applications is currently impractical due to their computational complexity and non-differentiable structure.
Partners
- Aalto University
- Delft University of Technology, Frans Oliehoek