AI Fundamentals

Core concepts, history, search algorithms, and foundational ideas behind artificial intelligence.

From Turing to transformers — the key milestones and paradigm shifts in AI.

Search Algorithms

BFS, DFS, A*, minimax, and heuristic search for problem solving.

Knowledge Representation

Logic, rules, frames, and formal methods for encoding knowledge.

Intelligent Agents

Agent architectures, rationality, environments, and decision-making.

Planning & Scheduling

Classical planning, STRIPS, hierarchical task networks, and automated scheduling.

Constraint Satisfaction

CSPs, SAT solvers, backtracking, and constraint propagation.

Nash equilibrium, mechanism design, and strategic decision-making for AI.

Philosophy of AI

Consciousness, the Chinese room, AGI, and the nature of machine intelligence.