Cognition And OntologieS

CAOS VII: Sherbrooke, Québec, Canada, July 2023

Welcome to CAOS 2023

CAOS: Cognition And OntologieS is a workshop series devoted to the relationship between cognition and ontologies with the purpose to model, simulate and represent cognitive phenomena for artificial intelligence.

In 2023, CAOS VII is organised at the Joint Ontology Workshops (JOWO 2023) held at the 13th International Conference on Formal Ontology in Information Systems (FOIS 2023) in Sherbrooke, Québec, Canada (July 17-20, 2023).

Submission Deadline: April 17
EasyChair Submissions Link, Select Track 'CAOS VII: Cognition And OntologieS':


With the increased interest in ideas derived from embodied cognition and cognitive computing within Artificial Intelligence and Machine Learning, the connection between symbolic methods and the cognitive sciences has gained renewed importance and urgency.

The success story of machine learning and neural networks to perform certain cognitive and classification tasks does not, indeed, reduce the usefulness of symbolic approaches. To the contrary, the development of a new wave of hybrid artificial intelligence will enable a better understanding and simulation of cognitive phenomena, and classic methods from knowledge representations and ontologies can greatly benefit the solutions to the challenging problems of explainable and ethical AI.

CAOS aims to bridge the gap between cognitive science and the formal methods by providing a platform for researchers in either domain to discuss and present their state-of-the-art work.

Cognition And OntologieS (CAOS) has been held five times. First held in Annecy 2016 at FOIS/JOWO, it was next organised as a workshops at the AISB convention in 2017, held at the University of Bath, UK. The third and fourth editions of CAOS were once again held at JOWO, in Cape Town in 2018, and in Graz in 2019. CAOS V was announced for 2020 and then moved to 2021 (due to the Covid-19 pandemic) and was held as a FOIS workshop as part of the 2020/21 Bolzano Summer of Knowledge.