产生式系统基于上一代认知心理学对程序性记忆的研究,似乎挺好用。西蒙的逻辑理论家曾成功解决过传教士-野人问题。这是值得纪念的成就。
Coggr博客回顾了这些研究,提出产生式系统的模型没有涉及到脑神经层面的事实(例如脑区的联系)。一些基于类似事实的神经模型(计算神经科学嘛,这
个应该比认知更加火)产生的结果也能让科学家满意,这说明什么呢?我们需要在产生式系统模型中加入脑神经的建模假设或者变量吗?
至少那位博主认为,这个是有必要的,但这不会影响产生式系统已经做出的贡献。
附些参考文献(source:Coggr):
References
Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA:
Harvard University Press.
Anderson, J. R. (2007). Using brain imaging to guide the development
of a cognitive architecture. In W. D. Gray (Ed.), Integrated models of
cognitive systems (pp. 49-62). New York: Oxford University Press.
Anderson, J. R., & Lebiere, C. (1998). The atomic components of
thought. Mahwah, NJ: Lawrence Erlbaum.
Gray, W. D. (Ed.). (2007). Integrated models of cognitive systems. New
York: Oxford University Press.
Hamker, F. H. (2005). The reentry hypothesis: The putative interaction
of the frontal eye field, ventrolateral prefrontal cortex, and areas
V4, IT for attention and eye movement. Cerebral Cortex, 15, 431-447.
Itti, L., & Koch, C. (2001). Computational modelling of visual
attention. Nature Reviews Neuroscience, 2, 194-203.
Lanyon, L. J., & Denham, S. L. (2009). Modelling attention in
individual cells leads to a system with realistic saccade behaviors.
Cognitive Neurodynamics.
Lovett, M. C., & Anderson, J. R. (2005). Thinking as a production
system Cambridge handbook of thinking and reasoning, 401-430 DOI:
10.2277/0521531012
Post, E. L. (1943). Formal reductions of the general combinatorial
decision problem. American Journal of Mathematics, 65, 197-268.