Prof. Patrick Henry Winston introduces students to the basic knowledge representation, problem-solving, and learning methods of artificial intelligence.
This course introduces students to the basic knowledge representation, problem-solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem-solving, and learning in intelligent-system engineering; and appreciate the role of problem-solving, vision, and language in understanding human intelligence from a computational perspective.
Who is Patrick H. Winston?
Patrick H. Winston is Ford Professor of Artificial Intelligence and Computer Science at the Massachusetts Institute of Technology. He has been with CSAIL and before that the MIT Artificial Intelligence Laboratory since 1967. He joined the faculty in 1970, and he was the Director of the Artificial Intelligence Laboratory from 1972 to 1997.
Professor Winston is particularly involved in the study of how vision, language, and motor faculties account for intelligence. He also works on applications of Artificial Intelligence that are enabled by learning, precedent-based reasoning, and common-sense problem-solving.
Professor Winston is chairman and co-founder of Ascent Technology, Inc., a company that produces sophisticated scheduling, resource allocation, and schedule recovery applications, enabled by AI technology, and in use throughout the world in major airports and the Department of Defense.
Professor Winston was a member of the Naval Research Advisory Committee (NRAC) (1985-1990, 1994-2000) for which he served as Chair from 1997 to 2000. During his service on NRAC, he chaired several studies, including a study of how the Navy can best exploit the next generation of computer resources and a study of technology for reduced manning. Professor Winston is also a past president of the American Association for Artificial Intelligence.
Professor Winston is working on major new research and educational efforts, the Human Intelligence Enterprise, which will bring together and focus research from several fields, including Computer Science, Systems Neuroscience, Cognitive Science, and Linguistics.
Artificial Intelligence Lectures – 01
Introduction and Scope
Artificial Intelligence Lectures – 02
Reasoning: Goal Trees and Problem Solving
Artificial Intelligence Lectures – 03
Reasoning: Goal Trees and Rule-Based Expert Systems
Artificial Intelligence Lectures – 04
Search: Depth-First, Hill Climbing, Beam
Artificial Intelligence Lectures – 05
Search: Optimal, Branch and Bound, A*
Artificial Intelligence Lectures – 06
Search: Games, Minimax, and Alpha-Beta
Artificial Intelligence Lectures – 07
Constraints: Interpreting Line Drawings
Artificial Intelligence Lectures – 08
Constraints: Search, Domain Reduction
Artificial Intelligence Lectures – 09
Constraints: Visual Object Recognition
Artificial Intelligence Lectures – 10
Introduction to Learning, Nearest Neighbors
Artificial Intelligence Lectures – 11
Learning: Identification Trees, Disorder
Artificial Intelligence Lectures – 12a
Neural Nets
Artificial Intelligence Lectures – 12b
Deep Neural Nets
Artificial Intelligence Lectures – 13
Learning: Genetic Algorithms
Artificial Intelligence Lectures – 14
Learning: Sparse Spaces, Phonology
Artificial Intelligence Lectures – 15
Learning: Near Misses, Felicity Conditions
Artificial Intelligence Lectures – 16
Learning: Support Vector Machines
Artificial Intelligence Lectures – 17
Learning: Boosting
Artificial Intelligence Lectures – 18
Representations: Classes, Trajectories, Transitions
Artificial Intelligence Lectures – 19
Architectures: GPS, SOAR, Subsumption, Society of Mind
Lecture 20, which focuses on the AI business, is not available in MIT Lecture Videos due to unknown reasons..
Artificial Intelligence Lectures – 21
Probabilistic Inference I
Artificial Intelligence Lectures – 22
Probabilistic Inference II
Artificial Intelligence Lectures – 23
Model Merging, Cross-Modal Coupling, Course Summary
Source: https://ocw.mit.edu/
Par Excellence!
His AI/Lisp book is both classic and awesome. I used it as an undergratuate.
Prof. Patrick Henry Winston is good lecturer 🙂
Informative lectures for guys interested in Artificial Intelligence..