Overview
People make dozens of inferences every day. They are crucial for learning, hypothesis evaluation, evidence search and assessment, forecasting and, of course, decision making. The advance of theoretical and empirical knowledge on these higher-level cognitive processes is extremely interesting per se, but it also has broad implications for intervention in many applied settings, such as legal reasoning, medical decision making, and environmental sustainability.
Research directions
Our research agenda ranges from experimental psychology to formal epistemology and makes use of both original experimental procedures and theoretical modelling. Our main research interests include:
- inductive and probabilistic reasoning;
- causal cognition;
- information search;
- decision making;
- decision biases;
- applied reasoning and decision making (e.g., legal reasoning, medical decision making, environmental sustainability).
Members
- Katya Tentori, Principal Investigator
- Stefania Pighin, Principal Investigator
- Sarah Placì, Postdoctoral fellow
- Benjamin Frederick Timberlake, Research fellow
- Flavia Filimon, Postdoctoral fellow
- Alessandro Bogani, PhD student
- Stefano Fait, PhD student
Publications
For a complete list: Katya Tentori personal page and Stefania Pighin personal page
Grants
- 2021 – 2023: “COVID-19” grant of the University of Trento for the project “Fostering the understanding of diagnostic test results through Cognitive-Artificial Intelligence“ (Cognitive-Artificial Intelligence for TEst Results, CAI-3), role: Coordinator and Principal Investigator.
Ongoing collaborations
- Ruth Byrne, Trinity College (Ireland)
- Vincenzo Crupi, University of Turin (Italy)
- Donatella Ferrante, University of Trieste (Italy)
- David Lagnado, UCL (UK);
- Andrea Passerini, DISI, University of Trento (Italy)
- Lucia Savadori, DEM - University of Trento (Italy)