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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:
  • Ethics & AI
  • Machine Learning
  • Multiagent Systems
  • Normative Systems
  • Diagrammatic Reasoning
  • Embodied Cognition
  • Learning
  • Computational Ontologies
  • Responsible AI
  • Computational Creativity
  • Semantic Alignment
  • Nonmonotonic Reasoning
  • Ethics & AI
  • Machine Learning
  • Multiagent Systems
  • Normative Systems
  • Diagrammatic Reasoning
  • Embodied Cognition
  • Learning
  • Computational Ontologies
  • Responsible AI
  • Computational Creativity
  • Semantic Alignment
  • Nonmonotonic Reasoning
Impact areas:
  • Ethics
  • Social Networking
  • Creativity
  • Education
  • Industry
  • Ethics
  • Social Networking
  • Creativity
  • Education
  • Industry
SDGs:
  • GOAL 10: Reduced Inequality
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 10: Reduced Inequality
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 09: Industry, Innovation & Infrastructure
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]
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://doi.org/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]
2020
Paula Chocron,  & Marco Schorlemmer (2020). Vocabulary Alignment in Openly Specified Interactions. Journal of Artificial Intelligence Research, 68, 69--107. https://doi.org/10.1613/jair.1.11497. [BibTeX]
2018
Manfred Eppe,  Ewen Maclean,  Roberto Confalonieri,  Oliver Kutz,  Marco Schorlemmer,  Enric Plaza,  & Kai-Uwe Kühnberger (2018). A computational framework for conceptual blending. Artificial Intelligence, 256, 105-129. [BibTeX]
Fèlix Bou,  Enric Plaza,  & Marco Schorlemmer (2018). Amalgams, colimits, and conceptual blending. Concept Invention: Foundations, Implementation, Social Aspects and Applications. Springer. https://doi.org/10.1007/978-3-319-65602-1_2. [BibTeX]
Roberto Confalonieri,  Enric Plaza,  & Marco Schorlemmer (2018). Computational aspects of concept invention. Concept Invention. Foundations, Implementation, Social Aspects and Applications. Springer. https://doi.org/10.1007/978-3-319-65602-1_2. [BibTeX]
Roberto Confalonieri,  Manfred Eppe,  Marco Schorlemmer,  Oliver Kutz,  Rafael Peñaloza,  & Enric Plaza (2018). Upward refinement operators for conceptual blending in the description logic EL++. Annals of Mathematics and Artificial Intelligence, 82, 66-69. https://doi.org/10.1007/s10472-016-9524-8. [BibTeX]
2017
Roberto Confalonieri,  Oliver Kutz,  Pietro Galliani,  Rafael Peñaloza,  Daniele Porello,  Marco Schorlemmer,  & Nicolas Troquard (2017). Coherence, Similarity, and Concept Generalisation. Alessandro Artale, Birte Glimm, & Roman Kontchakov (Eds.), Proceedings of the 30th International Workshop on Description Logics, Montpellier, France, July 18-21, 2017 . CEUR-WS.org. https://doi.org/http://ceur-ws.org/Vol-1879/paper45.pdf. [BibTeX]
Paula Chocron,  & Marco Schorlemmer (2017). Vocabulary Alignment for Agents with Flexible Protocols. Stefano Borgo, Oliver Kutz, Frank Loebe, & Fabian Neuhaus (Eds.), Proceedings of the Joint Ontology Workshops 2017 (JOWO 2017). Bozen-Bolzano, Italy, September 21-23, 2017 . CEUR-WS.org. [BibTeX]
Paula Chocron,  & Marco Schorlemmer (2017). Vocabulary Alignment in Openly Specified Interactions. Kate Larson, Michael Winikoff, Sanmay Das, & Edmund H. Durfee (Eds.), Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2017, São Paulo, Brazil, May 8-12, 2017 (pp. 1064-1072). ACM. https://doi.org/10.5555/3091125.3091275. [BibTeX]
2016
Roberto Confalonieri,  Enric Plaza,  & Marco Schorlemmer (2016). A Process Model for Concept Invention. Proceedings of the Seventh International Conference on Computational Creativity, Paris, France, June 28 - July 1, 2016. . Computational Creativity Society. https://doi.org/http://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/paper_29.pdf. [BibTeX]