From classical AI to nature-inspired computation — search and problem solving, knowledge and reasoning, then fuzzy logic, evolutionary algorithms, swarm intelligence and neural systems. This vault holds the same five resources as every subject: cheatsheet, slides explained, question bank, book explained, and references.
The full mid-sem paper worked end-to-end — collapsible Q&A — plus a makeup-exam study guide on the same concepts.
01 · cheatsheetDense one-glance reference — agents/PEAS, search tables, A* & heuristics, local search, GA/ACO, minimax, alpha-beta, MCTS. CS1–CS8.
02 · slides explainedEvery lecture slide unpacked in plain easy words — full concepts, the why behind each idea. CS1–CS8 (mid-sem), all up now.
03 · question bankExam-style questions pulled straight from the slides, with collapsible easy-word answers plus the full slide exercises. CS1–CS8.
04 · formula sheetEvery equation for the mid-sem — A*, heuristics, simulated annealing, ACO, minimax, alpha-beta, UCB, softmax — each symbol defined.
05 · book explainedAIMA Ch1–5 + Engelbrecht CI Ch1, 5, 7 — every chapter in plain language with diagrams, worked examples, gotchas, and a concept cheatsheet.
06 · referencesPapers, courses, lectures and extra reads worth keeping for the subject.
05 · BOOK EXPLAINED
Companion notes for Russell & Norvig — Artificial Intelligence: A Modern Approach (Ch 1–5) and Engelbrecht — Computational Intelligence: An Introduction (Ch 1, 5, 7), chapter by chapter, in plain language with diagrams and worked examples.
Open ACI book explained → AIMA + Engelbrecht, 8 chapters live