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Published in Communications in Computer and Information Science, vol 1915, 2024
An articulation of the distinction between tool discovery and tool innovation under the formalism of active inference
Collis, P., Kinghorn, P.F., Buckley, C.L. (2024). Understanding Tool Discovery and Tool Innovation Using Active Inference. In: Buckley, C.L., et al. Active Inference. IWAI 2023. Communications in Computer and Information Science, vol 1915. Springer, Cham.
Published in arXiv preprint, 2024
A novel hierarchical hybrid active inference agent in which a high-level discrete planner is formed from emergent descriptions discovered by a recurrent switching linear dynamical system generative model.
Collis, P., Singh, R., Kinghorn, P.F., Buckley, C.L. (2024). Hybrid Recurrent Models Support Emergent Descriptions for Hierarchical Planning and Control. arXiv preprint.
Published in Communications in Computer and Information Science, vol 2193, 2024
A novel hierarchical hybrid active inference agent in which a high-level discrete planner is formed from emergent descriptions discovered by a recurrent switching linear dynamical system generative model.
Collis, P., Singh, R., Kinghorn, P.F., Buckley, C.L. (2025). Learning in Hybrid Active Inference Models. In: Buckley, C.L., et al. Active Inference. IWAI 2024. Communications in Computer and Information Science, vol 2193. Springer, Cham.
Published:
This talk was awarded the prize for best presentation at the 4th International Workshop on Active Inference (IWAI 2023). The presentation was based on the paper that was been accepted for inclusion in the conference proceedings: Understanding Tool Discovery and Tool Innovation Using Active Inference.
MSc module, School of Engineering and Informatics, University of Sussex, 2023
Role: Doctoral tutor