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ARTIFICIAL INTELLIGENCE - Coggle Diagram
ARTIFICIAL INTELLIGENCE
Introduction
AI problems
Agents and Environments
Structure of Agents
Problem Solving Agents
Basic Search Strategies
Problem Spaces
Uninformed Search
Depth-First Search
Depth-first with Iterative Deepening
Breadth-First
Heuristic Search
Hill Climbing
Generic Best-First
A*
Constraint
Satisfaction
Backtracking
Local Search
Advanced Search
Constructing Search Trees
Stochastic Search
A* Search Implementation
Minimax Search
Alpha-Beta Pruning
Basic Knowledge Representation and Reasoning
Propositional Logic
First-Order Logic
Forward
Chaining and Backward Chaining
Introduction to Probabilistic Reasoning
Bayes Theorem
Advanced Knowledge Representation and Reasoning
Knowledge Representation Issues
Nonmonotonic
Reasoning
Other Knowledge Representation Schemes
Reasoning Under Uncertainty
Acting Under Uncertainty
Bayes’ Rule
Basic probability
Representing Knowledge in an Uncertain Domain
Bayesian Networks
Learning
Rote Learning
Learning by Taking Advice
Learning in Problem Solving
Learning from Examples
Winston’s Learning Program
Decision Trees.
Expert Systems
Representing and Using Domain Knowledge
Shell
Knowledge Acquisition