Research

Integration projects

Integration and Support projects, SCIoI Projects B1, B2, B3

Project Number: integration

Example Behavior:
Collective Intelligence

Disciplines:
Behavioral Biology
Robotics

 

Principal Investigators:
Pawel Romanczuk
Verena Hafner
Oliver Brock

Doctoral Researchers:
Pu Xu
Hae Seon Yun

External Collaborators:
Heiko Hübert

 

Expected Project Duration
2022 - 2025


← Projects Overview

Integration projects

Integration and Support projects, SCIoI Projects B1, B2, B3

The three “integration” projects at SCIoI focus on assembling the diverse components of intelligence into a cohesive and comprehensive framework. While decomposition aids in breaking down the complexity of intelligence into manageable parts, integration is the pivotal process of reassembling these components to elucidate the holistic nature of intelligence. The Integration projects at SCIoI leverage the concept of “weak decomposability” to unify diverse intelligence components effectively. Unlike traditional approaches, which decompose the study of intelligence into smaller parts, SCIoI recognizes the importance of weak decomposability in creating functional components that can be integrated into a larger intelligent system. Integration hackathons provide dynamic forums for researchers to identify interfaces, solve challenges, and implement high-level behaviors, offering valuable feedback to individual projects. The project aims to foster collaboration among researchers from various disciplines, bringing together their unique perspectives to create a unified understanding of intelligence. Through integration, the cluster aims to unravel the holistic nature of intelligence, paving the way for groundbreaking discoveries in artificial and natural intelligence.


Yun, H. S., Hübert, H., Pinkwart, N., & Hafner, Verena. V. (2024). Design Based Research on Multimodal Robotic Learning Companion. 25th International Conference on Artificial Intelligence in Education. https://doi.org/10.1007/978-3-031-64312-5_12
Taliaronak, V., Lange, A. L., Kirtay, M., Oztop, E., & Hafner, V. V. (2023). Advancing Humanoid Robots for Social Integration: Evaluating Trustworthiness through a Social Cognitive Framework. 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2112–2119. https://doi.org/10.1109/RO-MAN57019.2023.10309519
Mottelson, A., & Kontogiorgos, D. (2023). Replicating replicability modeling of psychology papers. PNAS. https://doi.org/10.1073/pnas.2309496120
Kontogiorgos, D., & Schlangen, D. (2023). Explainable Embodied Intelligence for Collaborative Robots: An Interactive Approach. IPrA 2023 - International Pragmatics Conference 2023.
Kontogiorgos, D. (2023). Utilising Explanations to Mitigate Robot Conversational Failures. ACM/IEEE International Conference on Human-Robot Interaction Workshops (HRI-W).
Kontogiorgos, D. (2023). Explanations as Communicative Acts in Human-Robot Miscommunication. IEEE International Conference on Robot and Human Interactive Communication - Workshops, IEEE RO-MAN-W 2023.
Foerster, F., Romeo, M., Holthaus, P., Wood, L., Dondrup, C., Fischer, J. E., Liza, F. F., Kaszuba, S., Hough, J., Nesset, B., García, D. H., Kontogiorgos, D., Williams, J., Özkan, E. E., Barnard, P., Berumen, G., Price, D., Cobb, S., Wiltschko, M., … Huang, G. (2023). Working with Troubles and Failures in Conversation between Humans and Robots. Frontiers in Robotics and AI. https://doi.org/10.3389/frobt.2023.1202306
Avanesi, V., Rockstroh, J., Mildner, T., Zargham, N., Reicherts, L., Friehs, M. A., Kontogiorgos, D., Wenig, N., & Malaka, R. (2023). From C-3PO to HAL: Opening The Discourse About The Dark Side of Multi-Modal Social Agents. Proceedings of the 5th International Conference on Conversational User Interfaces. https://doi.org/10.1145/3571884.3597441

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