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统计认知理论及应用研究
引用本文:钱沄涛. 统计认知理论及应用研究[J]. 心智与计算, 2007, 0(3)
作者姓名:钱沄涛
作者单位:浙江大学计算机学院 浙江杭州310027
基金项目:国家自然科学基金(60103018),浙江省科技发展计划(2006C21001)资助
摘    要:长期以来大家认为人类认知尽管可以看成是非确定的推理计算过程,但它的知识表达、模型结构、及计算方法和概率统计理论在本质上是不同的,因此认知科学和概率统计方法存在巨大的鸿沟,过去两者基本上独立发展。近年来随着Bayesian概率统计模型研究的一系列突破性工作和认知过程本质的不断被发现和挖掘,两者的相关性和互补性逐渐突显出来。许多研究者认为认知是近似遵循概率统计推理原则的,一些研究工作显示两者的结合有可能对人工智能发展产生深远的影响。本文对当前统计认知理论及应用研究的现状进行系统的梳理,并结合自身的研究对它今后的发展提出自己的看法。

关 键 词:统计  认知科学  结构表征  视觉认知  概率图模型

Statistical Cognition Theory and Its Applications:An Overview
QIAN Yun-tao. Statistical Cognition Theory and Its Applications:An Overview[J]. Mind and Computation, 2007, 0(3)
Authors:QIAN Yun-tao
Abstract:The notion is popularly accepted that even though human cognition can be considered as an uncertain reasoning process, it is still essentially different from probabilistic theory in knowledge presentation, model structures, and computational mechanism, therefore there is a large gap between cognition science and probabilistic statistics, and these two theories are developed independently. Recently, remarkable progress in Bayesian statistical models and rediscovery of cognitive process, make their correlation and cooperation attract more and more attentions. Many researchers think that cognition approximately follows the rational principles of statistical inference, and some research results had shown their combinations would produce an important effect on artificial intelligence research. This paper will give a brief overview of statistical cognition as it stands today, and discuss some future research.
Keywords:statistics  cognition science  structure representation  probabilistic graph models  cognitive vision
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