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Mathematical learning theory through time

机译:穿越时空的数学学习理论

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摘要

Stimulus sampling theory (SST: Estes, 1950, 1955a,b, 1959) was the first rigorous mathematical model of learning that posited a central role for an abstract cognitive representation distinct from the stimulus or the response. SST posited that (a) conditioning takes place not on the nominal stimulus presented to the learner, but on a cognitive representation caused by the nominal stimulus, and (b) the cognitive representation caused by a nominal stimulus changes gradually across presentations of that stimulus. Retrieved temporal context models assume that (a) a distributed representation of temporal context changes gradually over time in response to the studied stimuli, and (b) repeating a stimulus can recover a prior state of temporal context. We trace the evolution of these ideas from the early work on SST, and argue that recent neuroscientific evidence provides a physical basis for the abstract models that Estes envisioned more than a half-century ago.
机译:刺激抽样理论(SST:Estes,1950,1955a,b,1959年)是第一个严格的学习数学模型,它为不同于刺激或反应的抽象认知表征发挥了中心作用。 SST认为(a)条件不是发生在提供给学习者的名义刺激上,而是发生在由名义刺激引起的认知表示上,并且(b)名义刺激所引起的认知表示在该刺激表示之间逐渐变化。检索到的时间上下文模型假设(a)时间上下文的分布式表示响应所研究的刺激随时间逐渐变化,并且(b)重复刺激可以恢复时间上下文的先前状态。我们追溯了这些想法在SST早期工作中的演变,并认为最近的神经科学证据为Estes设想了半个多世纪以前的抽象模型提供了物理基础。

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