Artificial Intelligence

2010 - 2020


In this module, problem-solving methods from the perspective of the rational agent (one of the four definitions of AI) are investigated. Problems are defined assuming a world for the agent (environment). This world includes a set of states. An agent has a set of actions with which it moves between states. The difference in the structure of the states as well as the agent's level of knowledge from the next state creates a category in artificial intelligence.

what about the next state?
determined stochastic unknown
how are states in this environment Atomic
SEARCH Stochastic Games
Markov Decision Process
Reinforcement Learning
Bayes Net
Structured First Order Logic


\[\color{blue}{Part 1: Introduction to AI}\] \[\color{blue}{Part 2: Advanced AI}\]