Abstract: Chunking has emerged as a basic property of human cognition. Computationally, chunking has been proposed as a process for compressing information ...
Our purpose in this paper is to expand understanding of how chunking impacts both learning and performance using the Computational-Unified Learning Model (C-ULM) ...
Our purpose in this paper is to expand understanding of how chunking impacts both learning and performance using the Computational-Unified Learning Model (C-ULM) ...
Our purpose in this paper is to expand understanding of how chunking impacts both learning and performance using the Computational-Unified Learning Model (C-ULM) ...
本文描述了C-ULM中分块的计算公式，然后给出了分块与不分块对智能体学习和智能体有效性的影响的模拟研究结果。然后，讨论了本研究对理解人类学习以及在认知信息学、人工 ...
Modeling chunking effects on learning and performance using the Computational-Unified Learning Model (C-ULM): A multiagent cognitive process model.
Our purpose in this paper is to expand understanding of how chunking impacts both learning and performance using the Computational-Unified Learning Model ... [ ...
Apr 25, 2024 · Modeling self-efficacy using the computational-Unified Learning Model (C-ULM): Implications for computational psychology and cognitive computing ...
This paper reports on a multi-agent computa tional model based on the principles of the Unified Learn ing Model (ULM). Derived from a synthesis of neurosci ence ...
This paper reports on a multi-agent computational model based on the principles of the Unified Learning Model (ULM). Derived from a synthesis of neuroscience, ...