This paper describes how agents can learn an internal model of the world structurally by focusing on the problem of behavior-based articulation. We develop an on-line learning scheme-the so-called mixture of recurrent neural net (RNN) experts-in which a set of RNN modules become self-organized as ex
β¦ LIBER β¦
The Articulated Learning: An Approach to Guided Reflection and Assessment
β Scribed by Sarah L. Ash; Patti H. Clayton
- Book ID
- 111585827
- Publisher
- Springer
- Year
- 2004
- Tongue
- English
- Weight
- 119 KB
- Volume
- 29
- Category
- Article
- ISSN
- 1573-1758
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