Dimitri Coelho Mollo

External PI
Umeå University, Philosophy of Artificial Intelligence
mail: dimitri.mollo@umu.se

Dimitri Coelho Mollo’s main areas of research are Philosophy of Mind and Cognitive Science (including Philosophy of Neuroscience and Philosophy of Artificial Intelligence), and Philosophy of Computing. He is also interested in Philosophy of Biology, General Philosophy of Science, and the ethics of current and future use of AI systems. Since April 2022, Dimitri is Assistant Professor at Umeå University.

Dimitri’s aim is to help shed light on the nature of intelligence and intelligent behavior by bringing together relevant empirical and theoretical insights from different fields, including philosophy, cognitive science, artificial intelligence, comparative psychology, and ethology. His project aims at revealing some of the underlying theoretical principles and core notions required to make sense of intelligence in biological and artificial systems. To do so, Dimitri examines candidate foundational notions relevant for understanding intelligence, such as representation, computation, and embodiment, as well as the internal and external factors that may be required for intelligent behavior to be possible.

At SCIoI, Dimitri works on Project 20.

SCIoI Publications

Coelho Mollo, D., Millière, R., Rathkopf, C., & Stinson, C. (2021). Conceptual Combinations – Benchmark task for Beyond the Imitation Game Benchmark. Github. https://github.com/google/BIG-bench/tree/main/bigbench/benchmark_tasks/conceptual_combinations
Coelho Mollo, D. (2022). Intelligent Behaviour. Erkenntnis. https://doi.org/10.1007/s10670-022-00552-8
Coelho Mollo, D. (2020). Against Computational Perspectivalism. The British Journal for the Philosophy of Science. https://doi.org/10.1093/bjps/axz036
Coelho Mollo, D. (2021). Deflationary realism: Representation and idealisation in cognitive science. Mind & Language, 1–19. https://doi.org/10.1111/mila.12364
Coelho Mollo, D. (2021). Why go for a computation-based approach to cognitive representation. Synthese, 199(3), 6875–6895. https://doi.org/10.1007/s11229-021-03097-5