CGSC 1001 Lecture Notes - Lecture 16: Cognitive Architecture, Unsupervised Learning, Optical Illusion
22 Jan 2017
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Model: a representation of something that excludes unimportant details: e. g. A scale model of a home made of cardboard you gain information from it, but there are tiny things missing. No taps, piping, insulation etc: simplification of a complex something to understand a phenomenon in simpler terms, e. g. Categorization scheme for the students in class, simulation of a tornado (twister movie) etc. There can be different information processing models, but they can have the same answer. Modeling with a cognitive archetype can be problematic because we don"t know where something has gone wrong. It"s a computer program that models some aspect of though: e. g. it might model how people do categorization or how a mouse maneuvers through a maze. Model makes predictions that can then be compared to data/ human behavior. If the predictions match the data, it supports the theory underlying the model. Controlled task control the environment and see if that controls the task.
