理性分析
认知
认知科学
任务(项目管理)
心理学
量子
认知心理学
干扰(通信)
计算机科学
量子力学
物理
神经科学
工程类
计算机网络
频道(广播)
系统工程
作者
Daniel J. Navarro,Ian Fuss
标识
DOI:10.1017/s0140525x12003056
摘要
Abstract Pothos & Busemeyer (P&B) argue that quantum probability (QP) provides a descriptive model of behavior and can also provide a rational analysis of a task. We discuss QP models using Marr's levels of analysis, arguing that they make most sense as algorithmic level theories. We also highlight the importance of having clear interpretations for basic mechanisms such as interference.
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