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Titlebook: Connectionist Models of Learning, Development and Evolution; Proceedings of the S Robert M. French,Jacques P. Sougné Conference proceedings

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21#
發(fā)表于 2025-3-25 05:11:28 | 只看該作者
22#
發(fā)表于 2025-3-25 09:54:33 | 只看該作者
https://doi.org/10.1007/BFb0019704luate some variables reflecting the own system functions, in order to simulate internal states. According to that, this module has a modulatory role on the other modules’ computations. Our aim is to show the properties of the system proposed under the influence of this particular module.
23#
發(fā)表于 2025-3-25 13:23:34 | 只看該作者
Performance of BTCs and their Applications,aussian distributions. It can be shown that upon minimization of mutual information between processing channels, noise can reveal itself locally. Therefore, we conjecture that novelty - as opposed to noise - can be recognized by means of the statistics of neuronal firing in brain areas.
24#
發(fā)表于 2025-3-25 16:33:54 | 只看該作者
Performance of BTCs and their Applications,h greater diversity of learning (and behaviour) may be achieved, and suggest that, in order to acquire a broad range of environment/action associations, mechanisms for boredom avoidance or novelty seeking are required.
25#
發(fā)表于 2025-3-25 22:24:44 | 只看該作者
26#
發(fā)表于 2025-3-26 00:15:07 | 只看該作者
Modularity and Specialized Learning in the Organization of Behaviourrently poses serious technical challenges to the field of ANN. We propose that in the mean time, psychologists may want to consider modelling learning in specialised hybrid systems which can support both complex behaviour and neural learning.
27#
發(fā)表于 2025-3-26 05:58:45 | 只看該作者
Modeling Modulatory Aspects in Association Processesluate some variables reflecting the own system functions, in order to simulate internal states. According to that, this module has a modulatory role on the other modules’ computations. Our aim is to show the properties of the system proposed under the influence of this particular module.
28#
發(fā)表于 2025-3-26 09:45:43 | 只看該作者
Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networksaussian distributions. It can be shown that upon minimization of mutual information between processing channels, noise can reveal itself locally. Therefore, we conjecture that novelty - as opposed to noise - can be recognized by means of the statistics of neuronal firing in brain areas.
29#
發(fā)表于 2025-3-26 14:20:37 | 只看該作者
Learning Action Affordances and Action Schemash greater diversity of learning (and behaviour) may be achieved, and suggest that, in order to acquire a broad range of environment/action associations, mechanisms for boredom avoidance or novelty seeking are required.
30#
發(fā)表于 2025-3-26 17:37:14 | 只看該作者
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