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• [8]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2986631

  Österdiekhoff, A., Heinrich, N. W., Rußwinkel, N., & Kopp, S. (Accepted). Sense of Control in Dynamic Multitasking and its Impact on Voluntary Task-Switching Behavior. Proceedings of the Annual Meeting of the Cognitive Science Society

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• [7]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2977953

  Österdiekhoff, A., Heinrich, N. W., Rußwinkel, N., & Kopp, S. (Accepted). Model-based Reinforcement Learning with Hierarchical Control for Dynamic Uncertain Environments. Proceedings of the 2024 Intelligent Systems Conference (Intellisys)

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• [6]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988992

  Abalakin, N., Heinrich, N. W., Österdiekhoff, A., Kopp, S., & Rußwinkel, N. (Accepted). Allocation of Fixational Eye Movements in Response to Uncertainty in Dynamic Environments. Proceedings of the Annual Meeting of the Cognitive Science Society

  PUB
   
• [5]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988991

  Heinrich, N. W., Österdiekhoff, A., Kopp, S., & Rußwinkel, N. (Accepted). Goal-directed Allocation of Gaze Reflects Situated Action Control in Dynamic Tasks. Proceedings of the Annual Meeting of the Cognitive Science Society

  PUB
   
• [4]
  

  2024 | Konferenzbeitrag | PUB-ID: 2988990

  Heinrich, N. W., Österdiekhoff, A., Kopp, S., & Rußwinkel, N. (2024). Developing and Evaluating a Computational Cognitive Model of Sensorimotor Grounded Action Selection Based on Eye-movement Behavior. Proceedings of International Conference on Cognitive Modeling (ICCM 2024)

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• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980767

  Heinrich, N. W., Österdiekhoff, A., Kopp, S., & Rußwinkel, N. (2023). A Straightforward Implementation of Sensorimotor Abstraction in a Two-Layer Architecture for Dynamic Decision-Making. Proceedings of International Conference on Cognitive Modeling (ICCM 2023)

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• [2]
  

  2023 | Kurzbeitrag Konferenz / Poster | Angenommen | PUB-ID: 2969470

  Österdiekhoff, A., Heinrich, N. W., Rußwinkel, N., & Kopp, S. (Accepted). Towards an Hierarchical Model-Based Reinforcement Learning Approach to Dynamic Decision-Making in Uncertain Environment. Presented at the 15th International Conference on Agents and Artificial Intelligence , Lissabon.

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• [1]
  

  2023 | Kurzbeitrag Konferenz / Poster | Angenommen | PUB-ID: 2969471

  Österdiekhoff, A. (Accepted). Incorporating Sense of Control in Dynamic Multi-Tasking Problems: A Model-based Hierarchical Reinforcement Learning Approach. Doctoral Consortium. https://doi.org/10.13140/RG.2.2.15135.57766

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