Publikationen von CM Wu

Ludwig, T.; Wu, C.; Schulz, E.: Connecting Exploration, Generalization, and Planning in Correlated Trees. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, S. 2940 - 2946 (Hg. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, 27. Juli 2022 - 30. Juli 2022. (2022)

Wu, C.; Schulz, E.; Gerbaulet, K.; Pleskac, T.; Speekenbrink, M.: Under pressure: The influence of time limits on human exploration. In: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation, S. 1219 - 1225 (Hg. Goel, A.; Seifert, C.; Freksa, C.). 41st Annual Conference of the Cognitive Science Society (CogSci 2019), Montreal, Canada, 24. Juli 2019 - 27. Juli 2019. Curran, Red Hook, NY, USA (2019)

Wu, C.; Schulz, E.; Gershman, S.: Generalization as diffusion: Human function learning on graphs. In: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation, S. 3122 - 3128 (Hg. Goel, A.; Seifert, C.; Freksa, C.). 41st Annual Conference of the Cognitive Science Society (CogSci 2019), Montreal, Canada, 24. Juli 2019 - 27. Juli 2019. Curran, Red Hook, NY, USAr (2019)

Wu, C.; Schulz, E.; Gershman, S.: Searching for rewards in graph-structured spaces. In: Conference on Cognitive Computational Neuroscience (CCN 2019), PS-2B.64, S. 814 - 817. Conference on Cognitive Computational Neuroscience (CCN 2019) , Berlin, Germany, 13. September 2019 - 16. September 2019. (2019)

Wu, C.; Schulz, E.; Garvert, M.; Meder, B.; Schuck, M.: Connecting conceptual and spatial search via a model of generalization. In: 40th Annual Cognitive Science Society Meeting (CogSci 2018): Changing / Minds, S. 1181 - 1186. 40th Annual Cognitive Science Society Meeting (CogSci 2018), Madison, WI, USA, 25. Juli 2018 - 28. Juli 2018. Curran, Red Hook, NY, USA (2019)

Wu, C.; Schulz, E.; Speekenbrink, M.; Nelson, J.; Meder, B.: Mapping the unknown: The spatially correlated multi-armed bandit. In: 39th Annual Meeting of the Cognitive Science Society (CogSci 2017): Computational Foundations of Cognition, S. 1357 - 1362. 39th Annual Meeting of the Cognitive Science Society (CogSci 2017), London, UK, 26. Juli 2017 - 29. Juli 2017. Curran, Red Hook, NY, USA (2017)

Hamidi, M.; Khajehabdollahi, S.; Wu, C.; Giannakakis, E.: Distilling a Modular Reservoir Through a Genomic Bottleneck. In 2026 Artificial Life Conference (ALIFE 2026). 2026 Artificial Life Conference (ALIFE 2026), Waterloo, Canada, 17. August 2026 - 21. August 2026. (2026)

Fang, K.; Hawkins, R.; Wu, C.; Franke, M.: A Computational Account of Epistemic Vigilance: Learning from Selective Truths through Bayesian Reasoning. In Proceedings of the 47th Annual Conference of the Cognitive Science Society, S. 6248 (Hg. Barner, D.; Bramley, N.; Ruggeri, A.; Walker, C.). 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future , San Francisco, CA, USA, 30. Juli 2025 - 02. August 2025. (2025)

Orbán, G.; Wu, C.: Learning to remember and remembering to learn: memory distortions as semantic compression of episodes. In Proceedings of the 47th Annual Conference of the Cognitive Science Society, S. 6613 (Hg. Barner, D.; Bramley, N.; Ruggeri, A.; Walker, C.). 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future , San Francisco, CA, USA, 30. Juli 2025 - 02. August 2025. (2025)

Breit, S.; Sakaki, M.; Murayama, K.; Wu, C.: In search of lost memories: modeling forgetful generalization. In 15th Biannual Conference of the German Society for Cognitive Science (KogWis 2022), S. 92. 15th Biannual Conference of the German Society for Cognitive Science (KogWis 2022), Freiburg (Breisgau), Germany, 05. September 2022 - 07. September 2022. (2022)

Brändle, F.; Wu, C.; Schulz, E.: Fun as maximizing learnability: Balancing difficulty and prior knowledge. In 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, S. 4001 (Hg. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, 27. Juli 2022 - 30. Juli 2022. (2022)

Giron, A.; Ciranka, S.; Schulz, E.; van den Bos, W.; Ruggeri, A.; Meder, B.; Wu, C.: The Developmental Trajectory of Learning and Exploration. In Budapest CEU Conference on Cognitive Development (BCCCD 2022), A-0136, S. 203. Budapest CEU Conference on Cognitive Development (BCCCD 2022), Budapest, Hungary, 10. Januar 2022 - 14. Januar 2022. (2022)

Wu, C.; Schulz, E.; Speekenbrink, M.; Nelson, J.; Meder, B.: Mapping the unknown: model-based and model-free approaches towards spatial reinforcement learning. In TeaP 2017: Abstracts of the 59th Conference of Experimental Psychologists (Hg. Goschke, T.; Bolte, A.; Kirschbaum, C.). 59th Conference of Experimental Psychologists (TeaP 2017), Dresden, Germany, 26. März 2017 - 29. März 2017. Pabst, Lengerich, Germany (2017)

Orujlu, T.; Matelski, J.; Butz, M.; Wu, C.; Kording, K.: Partially Observed Structural Causal Models. 8th Annual Conference 2026 Machine Learning in Science, Tübingen, Germany (2026)

Nagy, D.; Shen, T.; Zhou, H.; Wu, C.; Dayan, P.: Analogy as reuse in mental model construction. 48th Annual Meeting of the Cognitive Science Society (CogSci 2026), Rio de Janeiro, Brazil (2026)

Moneta, N.; Verra, L.; Wu, C.; Doeller, C.; Schuck, N.: Reward morphs non-spatial cognitive maps in humans. 8th Annual Conference on Cognitive Computational Neuroscience (CCN 2025), Amsterdam, The Netherlands (2025)

Zhou, H.; Nagy, D.; Dayan, P.; Wu, C.: Striking the Right Chord Between Reuse and Improvisation: Melody Learning as Resource-Rational Program Induction. 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future , San Francisco, CA, USA (2025)

Hamidi, M.; Khajehabdollahi, S.; Wu, C.; Giannakakis, E.: Distilling a Modular Reservoir Through a Genomic Bottleneck. (eingereicht)

Zhou, H.; Nagy, D.; Dayan, P.; Wu, C.: Path-dependent program induction under resource constraints explains human sequence learning. (eingereicht)

Rubino, V.; Dayan, P.; Wu, C.: Simplicity guides the discovery and use of compositionality. (eingereicht)