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Foundations Learning Classical AI Applied

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stage 03syllabus

Classical AI

Search, logical reasoning, constraint satisfaction, and the RL fragment IAIO expects.

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modules0/4

problems0/55

03.01

Search & Logic

Uninformed and informed search, then resolution.

0/28 problems

AI Search

Syllabus domain five: BFS, DFS, A*, admissible heuristics, and minimax - hand-workable and reliably examined.

Somewhat frequent14 problems

Logical Reasoning

Syllabus domain six: entailment, inference rules, CNF, and resolution - symbolic AI at Round 1 depth.

Somewhat frequent14 problems

03.02

Constraints & Decisions

CSPs and the sequential-decision material that feeds IAIO.

0/27 problems

Constraint Satisfaction

Syllabus domain eight: formulating CSPs, backtracking heuristics, and arc consistency.

Not frequent13 problems

Reinforcement Learning

Bandits, MDPs, and the Q / policy fragment IAIO expects — currently the empty domain on this guide.

Not frequent14 problems

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