Towards a computational model for higher orders of Theory of Mind in social agents
Effective communication between humans and machines requires artificial tools to adopt a human-like social perspective. The Theory of Mind (ToM) enables understanding and predicting mental states and behaviours, crucial for social interactions from childhood through adulthood. Artificial agents with ToM skills can better coordinate actions, such as in warehouses or healthcare. Incorporating ToM in AI systems can revolutionise our interactions with intelligent machines. This proposal emphasises the current focus on first-order ToM models in the literature and investigates the potential of creating a computational model for higher-order ToM.
Authors
- Federico Manzi (ORCID: https://orcid.org/0000-0002-7353-6864)
- Davide Massaro (ORCID: https://orcid.org/0000-0002-4511-6897)
- Antonella Marchetti (ORCID: https://orcid.org/0000-0001-9985-0539)
- Samuele Vinanzi (ORCID: https://orcid.org/0000-0003-0241-9983)
- Federico Tavella (ORCID: https://orcid.org/0000-0001-7640-2944)
- Cinzia Di Dio (ORCID: https://orcid.org/0000-0002-3962-4684)
- Angelo Cangelosi (ORCID: https://orcid.org/0000-0002-4709-2243)
Institutions
- Università Cattolica del Sacro Cuore (IT)
- University of Manchester (GB)
- Don Carlo Gnocchi Foundation (IT)
- Sheffield Hallam University (GB)
Publication Details
- Journal
- Frontiers in Robotics and AI
- Published
- 2024-10-02
- DOI
- https://doi.org/10.3389/frobt.2024.1468756
- Citations
- 4
- Primary Topic
- Child and Animal Learning Development
- Type
- article
- Field-Weighted Citation Impact
- 3.16
Funders
- Sheffield Hallam University
- UK Research and Innovation
- Università Cattolica del Sacro Cuore
- Engineering and Physical Sciences Research Council
- European Office of Aerospace Research and Development