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Marco
Marco
 
Schorlemmer
Schorlemmer

Tenured Scientist
Tenured Scientist


Marco
Marco
 
Schorlemmer
Schorlemmer
Tenured Scientist
Tenured Scientist
Head of the Multiagent Systems Group
Head of the Multiagent Systems Group

Student Recruitment Manager (Management Team)
Student Recruitment Manager (Management Team)
Multiagent Systems
Multiagent Systems
(+34) 93 580 9570 ext.
431858
431858
marco@iiia.csic.es
marco@iiia.csic.es
Research areas:
  • Computational Ontologies
  • Ethics & AI
  • Multiagent Systems
  • Normative Systems
  • Responsible AI
  • Trust and Reputation
  • XAI
  • Case-Based Reasoning
  • Computational Creativity
  • Diagrammatic Reasoning
  • Embodied Cognition
  • Machine Learning
  • Learning
  • Semantic Alignment
  • Nonmonotonic Reasoning
  • Computational Ontologies
  • Ethics & AI
  • Multiagent Systems
  • Normative Systems
  • Responsible AI
  • Trust and Reputation
  • XAI
  • Case-Based Reasoning
  • Computational Creativity
  • Diagrammatic Reasoning
  • Embodied Cognition
  • Machine Learning
  • Learning
  • Semantic Alignment
  • Nonmonotonic Reasoning
Impact areas:
  • Industry
  • Ethics
  • Social Networking
  • Creativity
  • Education
  • Industry
  • Ethics
  • Social Networking
  • Creativity
  • Education
SDGs:
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 04: Quality Education
  • GOAL 16: Peace, Justice and Strong Institutions
  • GOAL 10: Reduced Inequality
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 04: Quality Education
  • GOAL 16: Peace, Justice and Strong Institutions
  • GOAL 10: Reduced Inequality
In Press
Ignacio Huitzil,  Miguel Molina-Solana,  Juan Gómez-Romero,  Marco Schorlemmer,  Pere Garcia-Calvés,  Nardine Osman,  Josep Coll,  & Fernando Bobillo (In Press). Semantic Building Information Modeling: An Empirical Evaluation of Existing Tools. Journal of Industrial Information Integration. [BibTeX]
2024
Thiago Freitas Santos,  Nardine Osman,  & Marco Schorlemmer (2024). Can Interpretability Layouts Influence Human Perception of Offensive Sentences?. Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Joris Hulstijn, & Kary Främling (Eds.), Explainable and Transparent AI and Multi-Agent Systems - 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024, Revised Selected Papers (pp. 39--57). Springer. https://doi.org/10.1007/978-3-031-70074-3_3. [BibTeX]
Dimitra Bourou,  Marco Schorlemmer,  Enric Plaza,  & Marcell Veiner (2024). Characterising cognitively useful blends: Formalising governing principles of conceptual blending. Cognitive Systems Research, 86, 101245. https://doi.org/10.1016/j.cogsys.2024.101245. [BibTeX]  [PDF]
Marco Schorlemmer (2024). Cultivar la "correcció dels noms" en parlar de la intel·ligència artificial. Qüestions de Vida Cristiana, 278, 71--80. [BibTeX]
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]
Thiago Freitas Santos,  Nardine Osman,  & Marco Schorlemmer (2024). Is This a Violation? Learning and Understanding Norm Violations in Online Communities. Artificial Intelligence, 327. https://doi.org/10.1016/j.artint.2023.104058. [BibTeX]
Nardine Osman,  Bruno Rosell,  Andrew Koster,  Marco Schorlemmer,  Carles Sierra,  & Jordi Sabater-Mir (2024). The uHelp Application. Nardine Osman (Eds.), Electronic Institutions: Applications to uHelp, WeCurate and PeerLearn (pp 61--79). Springer. https://doi.org/10.1007/978-3-319-65605-2_3. [BibTeX]
2023
Thiago Freitas Santos,  Nardine Osman,  & Marco Schorlemmer (2023). A multi-scenario approach to continuously learn and understand norm violations. Autonomous Agents and Multi-Agent Systems, 37, 38. https://doi.org/10.1007/s10458-023-09619-4. [BibTeX]
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]
Thiago Freitas Santos,  Stephen Cranefield,  Bastin Tony Roy Savarimuthu,  Nardine Osman,  & Marco Schorlemmer (2023). Cross-community Adapter Learning {(CAL)}to Understand the Evolving Meanings of Norm Violation. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, {IJCAI}2023, 19th-25th August 2023, Macao, SAR, China (pp. 109--117). ijcai.org. https://doi.org/10.24963/IJCAI.2023/13. [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]
Thiago Freitas Dos Santos,  Nardine Osman,  & Marco Schorlemmer (2022). Ensemble and Incremental Learning for Norm Violation Detection. Piotr Faliszewski, Viviana Mascardi, Catherine Pelachaud, & Matthew E. Taylor (Eds.), 21st International Conference on Autonomous Agents and Multiagent Systems, {AAMAS}2022, Auckland, New Zealand, May 9-13, 2022 (pp. 427--435). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). https://doi.org/10.5555/3535850.3535899. [BibTeX]
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]
Ignacio Huitzil,  Marco Schorlemmer,  Nardine Osman,  Pere Garcia Calvés,  Josep Coll,  & Xavier Coll (2022). Towards Automated Compliance Checking of Building Regulations: smartNorms4BIM. Atia Cortés, Francisco Grimaldo, & Tommaso Flaminio (Eds.), Artificial Intelligence Research and Development. Proceedings of the 24th International Conference of the Catalan Association for Artificial Intelligence (CCIA 2022) (pp. 95--104). IOS Press. https://doi.org/10.3233/FAIA220322. [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]
Jaume Agustí-Cullell,  & Marco Schorlemmer (2021). A Humanist Perspective on Artificial Intelligence. Comprendre, 23, 99--125. [BibTeX]
Marco Schorlemmer,  & Enric Plaza (2021). A Uniform Model of Computational Conceptual Blending. Cognitive Systems Research, 65, 118--137. https://doi.org/10.1016/j.cogsys.2020.10.003. [BibTeX]  [PDF]
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]
Thiago Freitas Dos Santos,  Nardine Osman,  & Marco Schorlemmer (2021). Learning for Detecting Norm Violation in Online Communities. International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems (COINE), co-located with AAMAS 2021 . https://arxiv.org/abs/2104.14911. [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]