Probabilistic Planning

Intelligent agent

Search

Game theory

Adversarial Search

Knowledge representation and reasoning

Logic

Uncertain Knowledge

Bayes' theorem

Bayesian network

Hidden Markov Model (HMM)

Robot Motion Planning

Classical Planning

Reinforcement learning (RL)

Supervised learning

Unsupervised learning

Natural Language Processing (NLP)

Robotics

Computer Vision

Philosophy of AI

Social and Ethical Issues in AI

Ethical Dilemmas in AI

CS1410 Artificial Intelligence Brown University Fall 2022 CS1410 at Brown University delves into the realm of Artificial Intelligence. Using the 3rd edition of "Artificial Intelligence, A Modern Approach" by Russell & Norvig, students explore intelligent agents, game theory, knowledge representation, logic, probabilistic learning, NLP, robotics, computer vision, and ethical implications of AI.   Prerequisites to CS1410 include (CSCI 0160, 0180, 0190, or 0200) and (CSCI 0220, 1450, 0450, APMA 1650 or 1655) or minimum score of WAIVE in 'Graduate Student PreReq'. ### Required Text

*Artificial Intelligence, A Modern Approach* Russell & Norvig, **3rd** Edition.

### On Lectures

The textbook contains everything you need to know.

Lectures contain everything you need to know.

Lecture notes **do not contain everything you need to
know**.

CS1410 Artificial Intelligence

Artificial Intelligence

Probabilistic Planning

1 courses cover this concept

CS1410 Artificial Intelligence