How jimmyu2foru18/artificial-intelligence works
This repository is an AI learning curriculum, not a software runtime. A learner follows the lecture chapters from foundations through search, reasoning, and machine learning, then uses the homework and project collections for practice. The README explicitly describes the curriculum’s progression and the conceptual dependencies between chapters. The graph groups related chapters to keep that learning path legible; no source excerpts were provided, so relationships beyond those documented in the README are omitted.
Main entry points: Chapter 01 - Introduction to AI.md AI Introduction · Chapter 02 - Intelligent Agents.md Intelligent Agents · Chapter 03 - Solving Problems by Searching.md Problem Formulation · Chapter 04 - Uninformed Search Strategies.md Uninformed Search
Components 19
Foundations
- AI Introduction
Lectures/Chapter 01 - Introduction to AI.md - Intelligent Agents
Lectures/Chapter 02 - Intelligent Agents.md
Search
- Problem Formulation
Lectures/Chapter 03 - Solving Problems by Searching.md - Uninformed Search
Lectures/Chapter 04 - Uninformed Search Strategies.md - Informed Search
Lectures/Chapter 05 - Informed Search Strategies.md - Local Search
Lectures/Chapter 06 - Local Search and Optimization.md - Beyond Classical Search
Lectures/Chapter 07 - Beyond Classical Search.md - Adversarial Search
Lectures/Chapter 08 - Adversarial Search.md
Reasoning
- Logical Agents
Lectures/Chapter 09 - Logical Agents.md - Propositional Logic
Lectures/Chapter 10 - Propositional Logic.md - First-Order Logic I
Lectures/Chapter 11 - First-Order Logic I.md - First-Order Logic II
Lectures/Chapter 12 - First-Order Logic II.md - Probability
Lectures/Chapter 13 - Uncertainty and Probabilistic Reasoning I.md - Bayesian Networks
Lectures/Chapter 14 - Probabilistic Reasoning II - Bayesian Networks.md - Supervised Learning
Lectures/Chapter 15 - Supervised Learning.md
Practice
- Homework Exercises
Homeworks - Applied Projects
Projects - Chapter Sources
Chapters
Other components
- Learner
Connections 18
- Learner → AI Introduction: studies
README.md - AI Introduction → Intelligent Agents: precedes
README.md - Intelligent Agents → Problem Formulation: underpins
README.md - Problem Formulation → Uninformed Search: leads into
README.md - Uninformed Search → Informed Search: leads into
README.md - Informed Search → Local Search: continues with
README.md - Local Search → Beyond Classical Search: continues with
README.md - Beyond Classical Search → Adversarial Search: continues with
README.md - Adversarial Search → Logical Agents: precedes
README.md - Logical Agents → Propositional Logic: leads into
README.md - Propositional Logic → First-Order Logic I: leads into
README.md - First-Order Logic I → First-Order Logic II: leads into
README.md - First-Order Logic II → Probability: precedes
README.md - Probability → Bayesian Networks: leads into
README.md - Bayesian Networks → Supervised Learning: underpins
README.md - Learner → Homework Exercises: practices with
README.md - Learner → Applied Projects: applies concepts
README.md - Learner → Chapter Sources: consults
README.md