9.66J | Fall 2004 | Undergraduate

Computational Cognitive Science

Lecture Notes

nov_16_2004_fin.pdf

Description:

This file contains the following topics: Model architecture, two interesting issues, initializing new concepts, Anderson?s solution, advantages and problems of “labels as features”, fixing the problem, inductive reasoning in biology, Bayes plus theories, alternative models, the computational problem, feature rating data, similarity-based models, Sum-sim versus Max-sim, data vs. models, feature rating data, three data sets, problems for sim-based models, and Marr?s three levels of analysis.

Resource Type:
Lecture Notes
pdf
223 kB
nov_16_2004_fin.pdf