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A Demonstration of Combining Spatial and Temporal Perception

机译:时空感知相结合的论证

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摘要

This paper describes two tests of a continuous-time artificial intelligence model proposed by Nan and Costello[7]. This model aims to combine spatial and temporal perception using a single simple mechanism. The first test demonstrates the spatial learning capability of the model by applying it to data from an experiment by Love[6] on human category learning. The second test demonstrates the temporal learning capability of the model by applying it to data from an experiment by Pizzo and Crystal[10] on the prediction of temporal patterns in rats. The model gave a good fit to participant behaviour in both tasks.
机译:本文描述了Nan和Costello [7]提出的连续时间人工智能模型的两个测试。该模型旨在使用单个简单机制将空间和时间感知结合起来。第一次测试通过将模型应用于Love [6]关于人类类别学习的实验数据,证明了该模型的空间学习能力。第二项测试通过将模型应用于Pizzo和Crystal [10]预测大鼠时态模式的实验数据,证明了该模型的时态学习能力。该模型非常适合这两项任务中的参与者行为。

著录项

  • 来源
    《Artificial general intelligence》|2011年|p.376-381|共6页
  • 会议地点 Mountain View CA(US);Mountain View CA(US)
  • 作者

    Jianglong Nan; Fintan Costello;

  • 作者单位

    School of Computer Science and Informatics, University College Dublin Belfield, Dublin 4, Ireland;

    School of Computer Science and Informatics, University College Dublin Belfield, Dublin 4, Ireland;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

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