PUB - Publikationen an der Universität Bielefeld

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• [8]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2986631

  Österdiekhoff, A., et al., Accepted. Sense of Control in Dynamic Multitasking and its Impact on Voluntary Task-Switching Behavior. In Proceedings of the Annual Meeting of the Cognitive Science Society.

  PUB | PDF
   
• [7]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2977953

  Österdiekhoff, A., et al., Accepted. Model-based Reinforcement Learning with Hierarchical Control for Dynamic Uncertain Environments. In Proceedings of the 2024 Intelligent Systems Conference (Intellisys).

  PUB
   
• [6]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988992

  Abalakin, N., et al., Accepted. Allocation of Fixational Eye Movements in Response to Uncertainty in Dynamic Environments. In Proceedings of the Annual Meeting of the Cognitive Science Society.

  PUB
   
• [5]
  

  2024 | Konferenzbeitrag | Angenommen | PUB-ID: 2988991

  Heinrich, N.W., et al., Accepted. Goal-directed Allocation of Gaze Reflects Situated Action Control in Dynamic Tasks. In Proceedings of the Annual Meeting of the Cognitive Science Society.

  PUB
   
• [4]
  

  2024 | Konferenzbeitrag | PUB-ID: 2988990

  Heinrich, N.W., et al., 2024. Developing and Evaluating a Computational Cognitive Model of Sensorimotor Grounded Action Selection Based on Eye-movement Behavior. In Proceedings of International Conference on Cognitive Modeling (ICCM 2024).

  PUB | Download (ext.)
   
• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980767

  Heinrich, N.W., et al., 2023. A Straightforward Implementation of Sensorimotor Abstraction in a Two-Layer Architecture for Dynamic Decision-Making. In Proceedings of International Conference on Cognitive Modeling (ICCM 2023).

  PUB
   
• [2]
  

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

  Österdiekhoff, A., et al., 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.

  PUB | PDF
   
• [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.

  PUB | PDF | DOI