远程语义学,结构相似性和预测处理
Ross Pain1, Stephen Francis Mann2
1Department of Philosophy, Cotham House, University of Bristol, Bristol, BS6 6JL UK.
概括
本研究引入了用于预测处理系统的多元内容理论,将远程语义与结构相似性合并. 这种方法通过结合以实践为导向的内容概念,扩大了预测处理在认知科学中的适用性.
科学领域:
- 认知科学 认知科学
- 思想的哲学 思想的哲学
- 计算神经科学是一种神经科学.
背景情况:
- 预测处理 (PP) 是认知科学中一个突出的框架.
- 现有的PP内容解释通常依赖于结构上的相似性.
- 远程语义理论为内容提供了另一种视角,侧重于功能和目的.
研究的目的:
- 为预测性处理系统提出一个多元化的内容解释.
- 为了将米利肯的远程语义与结构相似性账户整合起来.
- 扩大预测处理框架的经验范围.
主要方法:
- 在PP系统中开发信号传递的远程语义处理.
- 整合远观语义和结构相似性的方法来处理内容.
- 分析远程语义和PP概念机器的兼容性.
主要成果:
- 证明了远程语义与结构相似性账户的成功整合.
- 展示了teleosemantic动机和PP之间的兼容性.
- 强调多元化,以实践为导向的方法如何增强PP的解释能力.
结论:
- 拟议的多元主义账户提供了更全面的PP.内容的理解.
- 这个框架容纳了更广泛的认知科学中的经验案例.
- 远程语义的整合扩大了预测处理模型的应用.
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