CORPORIS
CORPORIS

CORPORIS
CORPORIS
 : 
Theory and Computation of Embodied Conceptualisation for Information Systems
Theory and Computation of Embodied Conceptualisation for Information Systems

A Project coordinated by IIIA.

Web page:

Principal investigator: 

Collaborating organisations:

Oliver Kutz (Free University of Bozen-Bolzano)
Emilios Cambouropoulos (Aristotle University of Thessaloniki)
 

Oliver Kutz (Free University of Bozen-Bolzano)
Emilios Cambouropoulos (Aristotle University of Thessaloniki)
 

Funding entity:

Ministerio de Ciencia e Innovación
Ministerio de Ciencia e Innovación

Funding call:

Convocatoria 2019 Proyectos de I+D+i - RTI Tipo B
Convocatoria 2019 Proyectos de I+D+i - RTI Tipo B

Funding call URL:

Project #:

PID2019-109677RB-I00
PID2019-109677RB-I00

Total funding amount:

36.179,00€
36.179,00€

IIIA funding amount:

Duration:

01/Jun/2020
01/Jun/2020
29/Feb/2024
29/Feb/2024

Extension date:

COPROPIS aims at contributing to the conceptual and theoretical foundations for a mathematical and computational model of embodied conceptualisation, driven by its potential deployment and application in cognitive musicology and musical creativity.
In particular:

  1. We aim at developing a category-theoretical model of the image-schematic structure underlying human conceptualisation. For this, we will focus on a core selection of basic musical concepts for which the image-schematic structure has been previously studied, so as to guide our formalisation.
  2. We aim at designing and implementing a computational realisation of our formal model. The implementation will be carried out in the functional programming paradigm as it is more suitable for a category-theoretic model. This should eventually lead to an experimental pre-prototype of a computational aid with which to be able to execute and validate particular metaphorical inferences, from the image-schematic structure to the conceptualisation domain, such as music theory.
  3. We aim at validating the model and its computational realisation on a conceptualisation of a core selection of musical concepts and with respect to metaphorical inferences relevant to cognitive musicology and musical creativity.

In this project we aim at addressing the issue of conceptual diversity not as a problem to be solved, but as a richness to be embraced and built upon. We expect our approach to capture both cross-cultural diversity and image-schematic invariants, and we set out to show this with musical concepts.

COPROPIS aims at contributing to the conceptual and theoretical foundations for a mathematical and computational model of embodied conceptualisation, driven by its potential deployment and application in cognitive musicology and musical creativity.
In particular:

  1. We aim at developing a category-theoretical model of the image-schematic structure underlying human conceptualisation. For this, we will focus on a core selection of basic musical concepts for which the image-schematic structure has been previously studied, so as to guide our formalisation.
  2. We aim at designing and implementing a computational realisation of our formal model. The implementation will be carried out in the functional programming paradigm as it is more suitable for a category-theoretic model. This should eventually lead to an experimental pre-prototype of a computational aid with which to be able to execute and validate particular metaphorical inferences, from the image-schematic structure to the conceptualisation domain, such as music theory.
  3. We aim at validating the model and its computational realisation on a conceptualisation of a core selection of musical concepts and with respect to metaphorical inferences relevant to cognitive musicology and musical creativity.

In this project we aim at addressing the issue of conceptual diversity not as a problem to be solved, but as a richness to be embraced and built upon. We expect our approach to capture both cross-cultural diversity and image-schematic invariants, and we set out to show this with musical concepts.

2024
Marco Schorlemmer,  Mohamad Ballout,  & Kai-Uwe Kühnberger (2024). Generating Qualitative Descriptions of Diagrams with a Transformer-Based Language Model. Jens Lemanski, Mikkel Willum Johansen, Emmanuel Manalo, Petrucio Viana, Reetu Bhattacharjee, & Richard Burns (Eds.), Diagrammatic Representation and Inference - 14th International Conference, Diagrams 2024, Münster, Germany, September 27 - October 1, 2024, Proceedings (pp. 61--75). Springer. https://doi.org/10.1007/978-3-031-71291-3_5. [BibTeX]
2023
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2023). An Image-Schematic Analysis of Hasse and Euler Diagrams. Maria M. Hedblom, & Oliver Kutz (Eds.), Proceedings of The Seventh Image Schema Day co-located with The 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), Rhodes, Greece, September 2nd, 2023 . CEUR-WS.org. https://ceur-ws.org/Vol-3511/paper\_05.pdf. [BibTeX]
2022
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2022). Embodied Sense-Making of Diagrams as Conceptual Blending with Image Schemas. Maria M. Hedblom, & Oliver Kutz (Eds.), Proceedings of the Sixth Image Schema Day, Jönköping, Sweden, March 24-25th, 2022 . CEUR-WS.org. [BibTeX]  [PDF]
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2022). Euler vs Hasse Diagrams for Reasoning About Sets: A Cognitive Approach. Valeria Giardino, Sven Linker, Richard Burns, Francesco Bellucci, Jean-Michel Boucheix, & Petrucio Viana (Eds.), Diagrammatic Representation and Inference - 13th International Conference, Diagrams 2022, Rome, Italy, September 14-16, 2022, Proceedings (pp. 151--167). Springer. https://doi.org/10.1007/978-3-031-15146-0_13. [BibTeX]
2021
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2021). A Cognitively-Inspired Model for Making Sense of Hasse Diagrams. Proc. of the 23rd International Conference of the Catalan Association for Artificial Intelligence (CCIA 2021), October 20-22, Lleida, Catalonia, Spain . [BibTeX]
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2021). Image Schemas and Conceptual Blending in Diagrammatic Reasoning: the Case of Hasse Diagrams. Amrita Basu, Gem Stapleton, Sven Linker, Catherine Legg, Emmanuel Manalo, & Petrucio Viana (Eds.), Diagrammatic Representation and Inference. 12th International Conference, Diagrams 2021, Virtual, September 28–30, 2021, Proceedings (pp. 297-314). [BibTeX]
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2021). Modelling the Sense-Making of Diagrams Using Image Schemas. Proc. of the 43rd Annual Meeting of the Cognitive Science Society (CogSci 2021), 26--29 July 2021, Vienna, Austria (pp. 1105-1111). [BibTeX]  [PDF]
Dimitra Bourou
PhD Student
Ramon Lopez de Mantaras
Adjunct Professor Ad Honorem
Enric Plaza
Research Professor
Phone Ext. 431852

Marco Schorlemmer
Tenured Scientist
Phone Ext. 431858