Principles of Human Learning
What are the general principles that drive human learning in different situations? I argue that much of human learning can be understood with just three principles. These are generalization, adaptation, and simplicity. To verify this conjecture, I introduce a modeling framework based on the same pri...
সংরক্ষণ করুন:
প্রধান লেখক: | |
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অন্যান্য লেখক: | |
বিন্যাস: | Dissertation |
ভাষা: | ইংরেজি |
প্রকাশিত: |
Philipps-Universität Marburg
2021
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বিষয়গুলি: | |
অনলাইন ব্যবহার করুন: | পিডিএফ এ সম্পূর্ন পাঠ |
ট্যাগগুলো: |
ট্যাগ যুক্ত করুন
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সংক্ষিপ্ত: | What are the general principles that drive human learning in different situations? I argue that much of human learning can be understood with just three principles. These are generalization, adaptation, and simplicity. To verify this conjecture, I introduce a modeling framework based on the same principles. This framework combines the idea of meta-learning -- also known as learning-to-learn -- with the minimum description length principle. The models that result from this framework capture many aspects of human learning across different domains, including decision-making, associative learning, function learning, multi-task learning, and reinforcement learning. In the context of decision-making, they explain why different heuristic decision-making strategies emerge and how appropriate strategies are selected. The same models furthermore capture order effects found in associative learning, function learning and multi-task learning. In the reinforcement learning context, they resemble individual differences between human exploration strategies and explain empirical data better than any other strategy under consideration. The proposed modeling framework -- together with its accompanying empirical evidence -- may therefore be viewed as a first step towards the identification of a minimal set of principles from which all human behavior derives. |
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দৈহিক বর্ননা: | 196 Seiten |
ডিওআই: | 10.17192/z2021.0228 |