Interactive AI with a Theory of Mind
arXiv:1912.05284
Abstract
Understanding each other is the key to success in collaboration. For humans, attributing mental states to others, the theory of mind, provides the crucial advantage. We argue for formulating human--AI interaction as a multi-agent problem, endowing AI with a computational theory of mind to understand and anticipate the user. To differentiate the approach from previous work, we introduce a categorisation of user modelling approaches based on the level of agency learnt in the interaction. We describe our recent work in using nested multi-agent modelling to formulate user models for multi-armed bandit based interactive AI systems, including a proof-of-concept user study.
arXiv commentThis is a slightly updated version of a manuscript that appeared in ACM CHI 2019 Workshop: Computational Modeling in Human-Computer Interaction
References in corpus (6)
- Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
- The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models
- The Hanabi Challenge: A New Frontier for AI Research
- A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
- Machine Theory of Mind
- Machine Teaching of Active Sequential Learners