Homer Steven T, Harley Nicholas, Wiggins Geraint A
Computational Creativity Lab, Artificial Research Group, Vrije Universiteit Brussel, 1050 Etterbeek, Belgium.
Cognitive Science Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK.
Entropy (Basel). 2024 Jul 27;26(8):638. doi: 10.3390/e26080638.
We present , a novel application of some specific cases of relative entropy, designed to be useful for the cognitive modelling of the sequential perception of continuous signals. We explain the relevance of entropy in the cognitive modelling of sequential phenomena such as music and language. Then, as a first step to demonstrating the utility of constrast information for this purpose, we empirically show that its discrete case correlates well with existing successful cognitive models in the literature. We explain some interesting properties of constrast information. Finally, we propose future work toward a cognitive architecture that uses it.
我们提出了相对熵某些特定情况的一种新颖应用，旨在用于连续信号序列感知的认知建模。我们解释了熵在音乐和语言等序列现象的认知建模中的相关性。然后，作为证明对比信息在此目的上的效用的第一步，我们通过实证表明其离散情况与文献中现有的成功认知模型相关性良好。我们解释了对比信息的一些有趣特性。最后，我们提出了关于使用它的认知架构的未来工作。
