A practical introduction to the Rational Speech Act modeling framework
A practical introduction to the Rational Speech Act modeling framework
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发表时间：
2021-05
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通讯作者：
Gregory Scontras;Michael Henry Tessler;M. Franke
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作者：
Gregory Scontras;Michael Henry Tessler;M. Franke
计算认知科学的最新进展（即基于仿真的概率计划）为正式的，可实施的实用性实用模型而不是描述散文中的务实推理过程，为这些模型形式化并实施了一个定性，为实现的实现模型提供了重大进展。人类行为的定量预测 - 预测始终如一地证明了框架的生存能力和价值。以及对贝叶斯理性语音法案建模框架的批判性评估，解开理论基础，探索技术创新以及与当前应用以外的问题的联系。
Recent advances in computational cognitive science (i.e., simulationbased probabilistic programs) have paved the way for significant progress in formal, implementable models of pragmatics. Rather than describing a pragmatic reasoning process in prose, these models formalize and implement one, deriving both qualitative and quantitative predictions of human behavior—predictions that consistently prove correct, demonstrating the viability and value of the framework. The current paper provides a practical introduction to and critical assessment of the Bayesian Rational Speech Act modeling framework, unpacking theoretical foundations, exploring technological innovations, and drawing connections to issues beyond current applications.