Abstract
Modal logics are a family of formal systems based on classical logic which aim at improving the expressive power of the classical calculus allowing to reason about “modes of truth”. The aim of the present proposal is to put forward a systematic study of substructural modal logics, understood as those modal logics in which the modal operators are based upon the general ground of substructural logics, weaker deductive systems than classical logic. Our aim is also to explore the applications of substructural modal logics outside the bounds of mathematical logic and, in particular, in the areas of knowledge representation; legal reasoning; data privacy and security; logical analysis of natural language.
Project details
Unibo Team Leader: Giovanni Sartor
Unibo involved Department/s:
Centro Interdipartimentale Alma Mater Research Institute for Human-Centered Artificial Intelligence - (Alma AI)
Coordinator:
Agencia Estatal Consejo Superior De Investigaciones Cientificas (Csic)(Spain)
Other Participants:
Universitat De Barcellona
(Spain)
ALMA MATER STUDIORUM - Università di Bologna
(Italy)
Università degli Studi di GENOVA
(Italy)
Università degli Studi INSUBRIA
(Italy)
Università degli Studi di SALERNO
(Italy)
Technische Universität Wien
(Austria)
Ucl University College London
(United Kingdom)
Università degli Studi di MILANO
(Italy)
Ustav Informatiky Av Cr-Institute Of Informatics Of The Cas
(Czech Republic)
Universiteit Utrecht
(Netherlands)
Universitat Bern
(Switzerland)
Uniwersytet Mikolaja Kopernika - Universitas Nicolai Copernici
(Poland)
Ustav Teorie Informace A Automatizace Av Cr Vvi-Institute Of Information Theory And Automation Of The Cas
(Czech Republic)
Institut National Des Sciences Appliquees Centre Val De Loire
(France)
Stichting Vu
(Netherlands)
Universiteit Van Amsterdam
(Netherlands)
Universidad Autonoma De Barcelona
(Spain)
Total Eu Contribution: Euro (EUR) 1.016.600,00
Project Duration in months: 48
Start Date:
01/09/2021
End Date:
31/08/2025
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101007627