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https://www.scienceofintelligence.de/wp-content/plugins/zotpress/
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Davidescu, M. R., Romanczuk, P., Gregor, T., & Couzin, I. D. (2023). Growth produces coordination trade-offs in Trichoplax adhaerens , an animal lacking a central nervous system. Proceedings of the National Academy of Sciences, 120(11), e2206163120. https://doi.org/10.1073/pnas.2206163120
Dolokov, A., Andresen, N., Hohlbaum, K., Thöne-Reineke, C., Lewejohann, L., & Hellwich, O. (2023). Upper Bound Tracker: A Multi-Animal Tracking Solution for Closed Laboratory Settings: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 945–952. https://doi.org/10.5220/0011609500003417
Driess, D., Huang, Z., Li, Y., Tedrake, R., & Toussaint, M. (2023). Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. Proceedings of The 6th Conference on Robot Learning (CoRL 2022), 1755–1768. https://proceedings.mlr.press/v205/driess23a.html
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Ehlman, S. M., Scherer, U., Bierbach, D., Francisco, F. A., Laskowski, K. L., Krause, J., & Wolf, M. (2023). Leveraging big data to uncover the eco-evolutionary factors shaping behavioural development. Proceedings of the Royal Society B: Biological Sciences, 290(1992), 20222115. https://doi.org/10.1098/rspb.2022.2115
Eiserbeck, A., Maier, M., Baum, J., & Abdel Rahman, R. (2023). When the philosophical zombie smiles at you – believing a face to be computer-generated affects perception and emotional processing [Poster]. 26th meeting of the Association for the Scientific Study of Consciousness (ASSC26).
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Förster, F., Romeo, M., Holthaus, P., Wood, L. J., Dondrup, C., Fischer, J. E., Liza, F. F., Kaszuba, S., Hough, J., Nesset, B., Hernández García, D., Kontogiorgos, D., Williams, J., Özkan, E. E., Barnard, P., Berumen, G., Price, D., Cobb, S., Wiltschko, M., … Kapetanios, E. (2023). Working with troubles and failures in conversation between humans and robots: workshop report. Frontiers in Robotics and AI, 10, 1202306. https://doi.org/10.3389/frobt.2023.1202306
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Gómez-Nava, L., Lange, R. T., Klamser, P. P., Lukas, J., Arias-Rodriguez, L., Bierbach, D., Krause, J., Sprekeler, H., & Romanczuk, P. (2023). Fish shoals resemble a stochastic excitable system driven by environmental perturbations. Nature Physics, 19(5), 663–669. https://doi.org/10.1038/s41567-022-01916-1
Grapentin, A., Sterle, A., Raisch, J., & Hans, C. A. (2023). LQ Optimal Control for Power Tracking Operation of Wind Turbines. IFAC-PapersOnLine, 56(2), 2759–2766. https://doi.org/10.1016/j.ifacol.2023.10.1374
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Karimian, M., Reeh, F., & Romanczuk, P. (2023). Predicting the Dynamics of Behavioral Contagion in Human Groups: A Computational Modeling Perspective [Poster]. Bernstein Conference.
Kirtay, M., Hafner, V. V., Asada, M., & Oztop, E. (2023). Trust in Robot–Robot Scaffolding. IEEE Transactions on Cognitive and Developmental Systems, 15(4), 1841–1852. https://doi.org/10.1109/TCDS.2023.3235974
Kirtay, M., Hafner, V. V., Asada, M., & Oztop, E. (2023). Interplay Between Neural Computational Energy and Multimodal Processing in Robot-Robot Interaction. 2023 IEEE International Conference on Development and Learning (ICDL), 15–21. https://doi.org/10.1109/ICDL55364.2023.10364527
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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.
Kontogiorgos, D., & Schlangen, D. (2023). Explainable Embodied Intelligence for Collaborative Robots: An Interactive Approach. International Pragmatics Conference (IPrA).
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Lang, B., Kahnau, P., Hohlbaum, K., Mieske, P., Andresen, N. P., Boon, M. N., Thöne-Reineke, C., Lewejohann, L., & Diederich, K. (2023). Challenges and advanced concepts for the assessment of learning and memory function in mice. Frontiers in Behavioral Neuroscience, 17, 1230082. https://doi.org/10.3389/fnbeh.2023.1230082
Lehmann, D., Drebinger, P., Seel, T., & Raisch, J. (2023). Data-Driven Dynamic Input Transfer for Learning Control in Multi-Agent Systems with Heterogeneous Unknown Dynamics. 2023 62nd IEEE Conference on Decision and Control (CDC), 2358–2365. https://doi.org/10.1109/CDC49753.2023.10383433
Li, X., Baum, M., & Brock, O. (2023). Augmentation Enables One-Shot Generalization in Learning from Demonstration for Contact-Rich Manipulation. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3656–3663. https://doi.org/10.1109/IROS55552.2023.10341625
Lukas, J., Krause, J., Träger, A. S., Piotrowski, J. M., Romanczuk, P., Sprekeler, H., Arias-Rodriguez, L., Krause, S., Schutz, C., & Bierbach, D. (2023). Multispecies collective waving behaviour in fish. Philosophical Transactions of the Royal Society B: Biological Sciences, 378(1874), 20220069. https://doi.org/10.1098/rstb.2022.0069
Mengers, V., Battaje, A., Baum, M., & Brock, O. (2023). Combining Motion and Appearance for Robust Probabilistic Object Segmentation in Real Time. 2023 IEEE International Conference on Robotics and Automation (ICRA), 683–689. https://doi.org/10.1109/ICRA48891.2023.10160908
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Molinari, F., Agrawal, N., Stańczak, S., & Raisch, J. (2023). Over-the-Air Max-Consensus in Clustered Networks Adopting Half-Duplex Communication Technology. IEEE Transactions on Control of Network Systems, 10(2), 983–992. https://doi.org/10.1109/TCNS.2022.3212870
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Pischedda, D., Kaufmann, V., Wudarczyk, O. A., Rahman, R. A., Hafner, V. V., Kuhlen, A. K., & Haynes, J.-D. (2023). Human or AI? The brain knows it! A brain-based Turing Test to discriminate between human and artificial agents. 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 951–958. https://doi.org/10.1109/RO-MAN57019.2023.10309541
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Chouzouris, T., Roth, N., Cakan, C., & Obermayer, K. (2021). Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators. Physical Review E, 104(2), 024213. https://doi.org/10.1103/PhysRevE.104.024213
Coelho Mollo, D. (2021). Why go for a computation-based approach to cognitive representation. Synthese, 199(3–4), 6875–6895. https://doi.org/10.1007/s11229-021-03097-5
Coelho Mollo, D. (2021). Against Computational Perspectivalism. The British Journal for the Philosophy of Science, 72(4), 1129–1153. https://doi.org/10.1093/bjps/axz036
Coelho Mollo, D., Millière, R., Rathkopf, C., & Stinson, C. (2021). Conceptual Combinations – Benchmark task for Beyond the Imitation Game Benchmark [Other]. Github. https://github.com/google/BIG-bench/tree/main/bigbench/benchmark_tasks/conceptual_combinations
Daniels, B. C., & Romanczuk, P. (2021). Quantifying the impact of network structure on speed and accuracy in collective decision-making. Theory in Biosciences, 140(4), 379–390. https://doi.org/10.1007/s12064-020-00335-1
Demandt, N., Bierbach, D., Kurvers, R. H. J. M., Krause, J., Kurtz, J., & Scharsack, J. P. (2021). Parasite infection impairs the shoaling behaviour of uninfected shoal members under predator attack. Behavioral Ecology and Sociobiology, 75(11), 148. https://doi.org/10.1007/s00265-021-03080-7
Driess, D., Ha, J.-S., & Toussaint, M. (2021). Learning to solve sequential physical reasoning problems from a scene image. The International Journal of Robotics Research, 40(12–14), 1435–1466. https://doi.org/10.1177/02783649211056967
Gu, C., Learned-Miller, E., Sheldon, D., Gallego, G., & Bideau, P. (2021). The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 13475–13484. https://doi.org/10.1109/ICCV48922.2021.01324
Kahnau, P., Guenther, A., Boon, M. N., Terzenbach, J. D., Hanitzsch, E., Lewejohann, L., & Brust, V. (2021). Lifetime Observation of Cognition and Physiological Parameters in Male Mice. Frontiers in Behavioral Neuroscience, 15, 709775. https://doi.org/10.3389/fnbeh.2021.709775
Kirtay, M., Oztop, E., Asada, M., & Hafner, V. V. (2021). Modeling robot trust based on emergent emotion in an interactive task. 2021 IEEE International Conference on Development and Learning (ICDL), 1–8. https://doi.org/10.1109/ICDL49984.2021.9515645
Kirtay, M., Oztop, E., Asada, M., & Hafner, V. V. (2021). Trust me! I am a robot: an affective computational account of scaffolding in robot-robot interaction. 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), 189–196. https://doi.org/10.1109/RO-MAN50785.2021.9515494
Kirtay, M., Chevalere, J., Lazarides, R., & Hafner, V. V. (2021). Learning in Social Interaction: Perspectives from Psychology and Robotics. 2021 IEEE International Conference on Development and Learning (ICDL), 1–8. https://doi.org/10.1109/ICDL49984.2021.9515648
Klamser, P. P., & Romanczuk, P. (2021). Collective predator evasion: Putting the criticality hypothesis to the test. PLOS Computational Biology, 17(3), e1008832. https://doi.org/10.1371/journal.pcbi.1008832
Klamser, P. P., Gómez-Nava, L., Landgraf, T., Jolles, J. W., Bierbach, D., & Romanczuk, P. (2021). Impact of Variable Speed on Collective Movement of Animal Groups. Frontiers in Physics, 9, 715996. https://doi.org/10.3389/fphy.2021.715996
Krause, J., Romanczuk, P., Cracco, E., Arlidge, W., Nassauer, A., & Brass, M. (2021). Collective rule-breaking. Trends in Cognitive Sciences, 25(12), 1082–1095. https://doi.org/10.1016/j.tics.2021.08.003
Kurvers, R. H. J. M., Herzog, S. M., Hertwig, R., Krause, J., & Wolf, M. (2021). Pooling decisions decreases variation in response bias and accuracy. iScience, 24(7), 102740. https://doi.org/10.1016/j.isci.2021.102740
Landgraf, T., Gebhardt, G. H. W., Bierbach, D., Romanczuk, P., Musiolek, L., Hafner, V. V., & Krause, J. (2021). Animal-in-the-Loop: Using Interactive Robotic Conspecifics to Study Social Behavior in Animal Groups. Annual Review of Control, Robotics, and Autonomous Systems, 4(1), 487–507. https://doi.org/10.1146/annurev-control-061920-103228
Laskowski, K. L., Seebacher, F., Habedank, M., Meka, J., & Bierbach, D. (2021). Two Locomotor Traits Show Different Patterns of Developmental Plasticity Between Closely Related Clonal and Sexual Fish. Frontiers in Physiology, 12, 740604. https://doi.org/10.3389/fphys.2021.740604
Lazarides, R., & Chevalère, J. (2021). Artificial intelligence and education: Addressing the variability in learners’ emotion and motivation with adaptive teaching assistants. Bildung und Erziehung, 74(3), 264–279. https://doi.org/10.13109/buer.2021.74.3.264
Lazarides, R., & Raufelder, D. (2021). Control‐value theory in the context of teaching: does teaching quality moderate relations between academic self‐concept and achievement emotions? British Journal of Educational Psychology, 91(1), 127–147. https://doi.org/10.1111/bjep.12352
Leonhardt, A., Maier, M., & Abdel Rahman, R. (2021). The impact of affective knowledge on the perception and evaluation of robot faces [Poster]. 5th Virtual Social Interactions (VSI) Conference.
Lois-Milevicich, J., Cerrutti, M., Kacelnik, A., & Reboreda, J. C. (2021). Sex differences in learning flexibility in an avian brood parasite, the shiny cowbird. Behavioural Processes, 189, 104438. https://doi.org/10.1016/j.beproc.2021.104438
Lu, Y., Bierbach, D., Ormanns, J., Warren, W. C., Walter, R. B., & Schartl, M. (2021). Fixation of allelic gene expression landscapes and expression bias pattern shape the transcriptome of the clonal Amazon molly. Genome Research, 31(3), 372–379. https://doi.org/10.1101/gr.268870.120
Lukas, J., Romanczuk, P., Klenz, H., Klamser, P., Arias Rodriguez, L., Krause, J., & Bierbach, D. (2021). Acoustic and visual stimuli combined promote stronger responses to aerial predation in fish. Behavioral Ecology, 32(6), 1094–1102. https://doi.org/10.1093/beheco/arab043
Lukas, J., Auer, F., Goldhammer, T., Krause, J., Romanczuk, P., Klamser, P., Arias-Rodriguez, L., & Bierbach, D. (2021). Diurnal Changes in Hypoxia Shape Predator-Prey Interaction in a Bird-Fish System. Frontiers in Ecology and Evolution, 9, 619193. https://doi.org/10.3389/fevo.2021.619193
Lukas, J., Kalinkat, G., Miesen, F. W., Landgraf, T., Krause, J., & Bierbach, D. (2021). Consistent Behavioral Syndrome Across Seasons in an Invasive Freshwater Fish. Frontiers in Ecology and Evolution, 8, 583670. https://doi.org/10.3389/fevo.2020.583670
Mieske, P., Diederich, K., & Lewejohann, L. (2021). Roaming in a Land of Milk and Honey: Life Trajectories and Metabolic Rate of Female Inbred Mice Living in a Semi Naturalistic Environment. Animals, 11(10), 3002. https://doi.org/10.3390/ani11103002
Monteiro, T., Hart, T., & Kacelnik, A. (2021). Imprinting on time-structured acoustic stimuli in ducklings. Biology Letters, 17(9), 20210381. https://doi.org/10.1098/rsbl.2021.0381
Mühlhoff, R. (2021). Predictive privacy: towards an applied ethics of data analytics. Ethics and Information Technology, 23(4), 675–690. https://doi.org/10.1007/s10676-021-09606-x
Pall, E., & Brock, O. (2021). Analysis of Open-Loop Grasping From Piles. 2021 IEEE International Conference on Robotics and Automation (ICRA), 2591–2597. https://doi.org/10.1109/ICRA48506.2021.9561065
Pischedda, D., Lange, A., Kirtay, M., Wudarczyk, O., Abdel Rahman, R., Hafner, V. V., Kuhlen, A. K., & Haynes, J.-D. (2021). Am I speaking to a human, a robot, or a computer? Neural representations of task partners in communicative interactions with humans or artificial agents [Poster]. Annual Meeting of the Society for Neuroscience (SfN).
Pischedda, D., Lange, A., Kirtay, M., Wudarczyk, O., Abdel Rahman, R., Hafner, V. V., Kuhlen, A. K., & Haynes, J.-D. (2021). Who is my interlocutor? Partner-specific neural representations during communicative interactions with human or artificial task partners. [Poster]. 5th Virtual Social Interactions (VSI) Conference.
Poel, W., Winklmayr, C., & Romanczuk, P. (2021). Spatial Structure and Information Transfer in Visual Networks. Frontiers in Physics, 9, 716576. https://doi.org/10.3389/fphy.2021.716576
Pütz, O. (2021). Managing exactness and vagueness in computer science work: Programming and self-repair in meetings. Social Studies of Science, 51(6), 938–961. https://doi.org/10.1177/03063127211010972
Raoufi, M., Hamann, H., & Romanczuk, P. (2021). Speed-vs-Accuracy Tradeoff in Collective Estimation: An Adaptive Exploration-Exploitation Case. 2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 47–55. https://doi.org/10.1109/MRS50823.2021.9620695
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Roy, N., Posner, I., Barfoot, T., Beaudoin, P., Bengio, Y., Bohg, J., Brock, O., Depatie, I., Fox, D., Koditschek, D., Lozano-Perez, T., Mansinghka, V., Pal, C., Richards, B., Sadigh, D., Schaal, S., Sukhatme, G., Therien, D., Toussaint, M., & Van de Panne, M. (2021). From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. arXiv. https://doi.org/10.48550/ARXIV.2110.15245
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Shurygina, O., Pooresmaeili, A., & Rolfs, M. (2021). Pre-saccadic attention spreads to stimuli forming a perceptual group with the saccade target. Cortex, 140, 179–198. https://doi.org/10.1016/j.cortex.2021.03.020
Spatola, N., & Wudarczyk, O. A. (2021). Implicit Attitudes Towards Robots Predict Explicit Attitudes, Semantic Distance Between Robots and Humans, Anthropomorphism, and Prosocial Behavior: From Attitudes to Human–Robot Interaction. International Journal of Social Robotics, 13(5), 1149–1159. https://doi.org/10.1007/s12369-020-00701-5
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