Pseudocode

Pseudocode descriptions of the algorithms from Russell and Norvig's Artificial Intelligence - A Modern Approach.

The file aima3e-algorithms.pdf contains all the algorithms exactly as they appear in the third edition of the book. The files listed below duplicate that information but with typography that is not as fancy. When there are differences between the third editiona and fourth edition pseudocode, both versions will be shown in the files listed below:

AIMA3e	AIMA4e	Pseudo-code (in book)
•		TABLE-DRIVEN-AGENT
•		REFLEX-VACUUM-AGENT
•		SIMPLE-REFLEX-AGENT
•		MODEL-BASED-REFLEX-AGENT

•		SIMPLE-PROBLEM-SOLVING-AGENT
•		TREE-SEARCH and GRAPH-SEARCH
•		BREADTH-FIRST-SEARCH
•		UNIFORM-COST-SEARCH
•		DEPTH-LIMITED-SEARCH
•		ITERATIVE-DEEPENING-SEARCH
•		RECURSIVE-BEST-FIRST-SEARCH

•		HILL-CLIMBING
•		SIMULATED-ANNEALING
•		GENETIC-ALGORITHM
•		AND-OR-GRAPH-SEARCH
•		ONLINE-DFS-AGENT
•		LRTA*-AGENT

•		MINIMAX-DECISION
•		ALPHA-BETA-SEARCH

•		AC-3
•		BACKTRACKING-SEARCH
•		MIN-CONFLICTS
•		TREE-CSP-SOLVER

•		KB-AGENT
•		TT-ENTAILS
•		PL-RESOLUTION
•		PL-FC-ENTAILS?
•		DPLL-SATISFIABLE?
•		WALKSAT
•		HYBRID-WUMPUS-AGENT
•		SATPLAN

•		UNIFY
•		FOL-FC-ASK
•		FOL-BC-ASK
•		APPEND

•		GRAPHPLAN

•		HIERARCHICAL-SEARCH
•		ANGELIC-SEARCH

•		DT-AGENT

•		ENUMERATION-ASK
•		ELIMINATION-ASK
•		PRIOR-SAMPLE
•		REJECTION-SAMPLING
•		LIKELIHOOD-WEIGHTING
•		GIBBS-ASK

•		FORWARD-BACKWARD
•		FIXED-LAG-SMOOTHING
•		PARTICLE-FILTERING

•		INFORMATION-GATHERING-AGENT

•		VALUE-ITERATION
•		POLICY-ITERATION
•		POMDP-VALUE-ITERATION

•		DECISION-TREE-LEARNING
•		CROSS-VALIDATION-WRAPPER
•		DECISION-LIST-LEARNING
•		BACK-PROP-LEARNING
•		ADABOOST

•		CURRENT-BEST-LEARNING
•		VERSION-SPACE-LEARNING
•		MINIMAL-CONSISTENT-DET
•		FOIL

•		PASSIVE-ADP-AGENT
•		PASSIVE-TD-AGENT
•		Q-LEARNING-AGENT

•		HITS

•		CYK-PARSE

•		MONTE-CARLO-LOCALIZATION

•		POWERS-OF-2

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