COIS 1010H Lecture Notes - Lecture 11: Knowledge Representation And Reasoning, Control Theory, Marvin Minsky

• School: Trent University
• Department: Computing & Information Systems
• Course: COIS 1010H
• Professor: Different

Document Summary

Ability to think and understand things instead of doing things by instinct or automatically. Ability to learn and understand, to solve problems and make decisions. Build and understand intelligent entities or agents. Two main approaches: "engineering" versus "cognitive modeling" The goal of artificial intelligence (ai) is the development of paradigms or algorithms that require machines to perform cognitive tasks, at which humans are currently better (sage, 1990) Computational models aim to develop, explore and evaluate theories of how the mid works. The important part is not what is done but how it is done. The program must operate in an intelligent manner. An ai system must be capable of: storing knowledge, applying the knowledge stored to solve problems, acquire new knowledge through experience. Representation: use a language of symbol structure to represent knowledge of interest and the solution to the problem.