We propose a computationally coherent model of cerebellar motor learning based on the feedback-error-learning scheme. We assume that climbing fiber responses represent motor-command errors generated by some of the premotor networks such as the feedback controllers at the spinal-, brain stem-and cere
Semantic computations of truth based on associations already learned
✍ Scribed by Patrick Suppes; Jean-Yves Béziau
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 114 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1570-8683
No coin nor oath required. For personal study only.
✦ Synopsis
This article sets forth a detailed theoretical proposal of how the truth of ordinary empirical statements, often atomic in form, is computed. The method of computation draws on psychological concepts such as those of associative networks and spreading activation, rather that the concepts of philosophical or logical theories of truth. Axioms for a restricted class of cases are given, as well as some detailed examples.
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