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- Decision field theory (DFT) is a dynamic-cognitive approach to human decision making. It is a cognitive model that describes how people actually make decisions rather than a rational or normative theory that prescribes what people should or ought to do. It is also a dynamic model of decision making rather than a static model, because it describes how a person's preferences evolve across time until a decision is reached rather than assuming a fixed state of preference. The preference evolution process is mathematically represented as a stochastic process called a diffusion process. It is used to predict how humans make decisions under uncertainty, how decisions change under time pressure, and how choice context changes preferences. This model can be used to predict not only the choices that are made but also decision or response times. The paper "Decision Field Theory" was published by Jerome R. Busemeyer and James T. Townsend in 1993. The DFT has been shown to account for many puzzling findings regarding human choice behavior including violations of stochastic dominance, violations of strong stochastic transitivity, violations of independence between alternatives, serial-position effects on preference, speed accuracy tradeoff effects, inverse relation between probability and decision time, changes in decisions under time pressure, as well as preference reversals between choices and prices. The DFT also offers a bridge to neuroscience. Recently, the authors of decision field theory also have begun exploring a new theoretical direction called Quantum Cognition. (en)
- 决策场理论（en: Decision Field Theory（页面存档备份，存于互联网档案馆））是一种分析人类在做决定时的动态认知的理论。这个理论是一个描述人做出决定的过程的认知模型，而不是一个用来判定人应该或者必须将如何决定的理性或者规范的理论。这个理论描述的是一个人的偏好在作出决策前的变化过程，而不是一个偏好的固定状态，所以，这个理论是一个动态而非静态的决策理论。偏好演化的过程，用数学的方式表达为一个称为扩散的随机过程。这个过程可以用来顾及人类在不确定性中如何做出决策，在时间压力下人类的判断会做出怎样的改变，以及选项的内容如何改变人类的偏好。这个模型不仅能分析选项，还能分析最终决定和反馈时间。决策场理论是Jerome R. Busemeyer和James T. Townsend在1993年发表的。 决策场理论已知可以解释很多人类选择行为中的谜团，包括一些违反随机占优性、违反随即传递性、违反替代物的独立性、排序对偏好的效果、速度和精确度的互斥效应、可能性和决策时间的负相关性、时间压力下决定的改变和选项与代价之间的偏好倒置等等。决策场理论也向神经科学搭起一座桥梁。近期，决策场理论的作者们开始探索一个称为量子认知模型的新的理论方向。 (zh)
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- 决策场理论（en: Decision Field Theory（页面存档备份，存于互联网档案馆））是一种分析人类在做决定时的动态认知的理论。这个理论是一个描述人做出决定的过程的认知模型，而不是一个用来判定人应该或者必须将如何决定的理性或者规范的理论。这个理论描述的是一个人的偏好在作出决策前的变化过程，而不是一个偏好的固定状态，所以，这个理论是一个动态而非静态的决策理论。偏好演化的过程，用数学的方式表达为一个称为扩散的随机过程。这个过程可以用来顾及人类在不确定性中如何做出决策，在时间压力下人类的判断会做出怎样的改变，以及选项的内容如何改变人类的偏好。这个模型不仅能分析选项，还能分析最终决定和反馈时间。决策场理论是Jerome R. Busemeyer和James T. Townsend在1993年发表的。 决策场理论已知可以解释很多人类选择行为中的谜团，包括一些违反随机占优性、违反随即传递性、违反替代物的独立性、排序对偏好的效果、速度和精确度的互斥效应、可能性和决策时间的负相关性、时间压力下决定的改变和选项与代价之间的偏好倒置等等。决策场理论也向神经科学搭起一座桥梁。近期，决策场理论的作者们开始探索一个称为量子认知模型的新的理论方向。 (zh)
- Decision field theory (DFT) is a dynamic-cognitive approach to human decision making. It is a cognitive model that describes how people actually make decisions rather than a rational or normative theory that prescribes what people should or ought to do. It is also a dynamic model of decision making rather than a static model, because it describes how a person's preferences evolve across time until a decision is reached rather than assuming a fixed state of preference. The preference evolution process is mathematically represented as a stochastic process called a diffusion process. It is used to predict how humans make decisions under uncertainty, how decisions change under time pressure, and how choice context changes preferences. This model can be used to predict not only the choices that (en)
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- Decision field theory (en)
- 决策场理论 (zh)
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