CGSC170- Final Exam Guide - Comprehensive Notes for the exam ( 67 pages long!)

• School: University of Delaware
• Department: Cognitive Science
• Course: CGSC170
• Professor: Kaja Jasinka

Document Summary

Model designed to never deliver false positives or negatives vs model designed to avoid false negatives. Thinking someone is not a predator when they are. Experiment with different algorithms to see what works. Factors in time to perform the operation. An account of the mind must be compatible with dynamic nature of cognition. Cognitive systems hardly are ever 100% there or. Abstract mathematical tools for modeling cognitive processes. Abstract from biological details of neural functioning. Instead of capture general principles of how brain works. A connectionist networks or artificial neural network. It is beyond replication, but it comes up with a model and a general principle. Concerns about rule based and serial models of simple cognitive abilities. People were not satisfied with simple things like turing machine. Worries about biological plausibility of physical symbol systems. There was a lack of a bridge between levels. Processing in physical symbol systems step by step.