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AIMA by Mind Map: AIMA
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AIMA

Knowledge representation

Semantic networks

Description logics

Closed-world assumption

Nonmonotonic logics

Circumscription

Default logic

Truth maintenance systems

NLP/NLU

n-grams

Text classification

Naive Bayes n-gram

Information retrieval

bag of words

Question answering

Information extraction

FSA

HMMs

Conditional random fields

Search

Uninformed Search

BFS

DFS

Uniform-cost search

Iterative deepening search

Bidirectional search

Informed (Heuristic Search)

BFS + Eval. function

Greedy BFS

A*

Recursive BFS

SMA*

Local Search

Hill climbing, genetic algorithm, tabu search

Linear programming

Convex optimization

Constraint satisfactioin

Backtracking

Min-conflicts heuristics

Cutset conditioning

Tree decomposition

Constraint propagation

Adversarial Search

Minimax

Alpha-beta

Probabilistic reasoning

Decision theory

Full joint probability distributions

Bayes' rule

Bayesian networks

Hybrid Bayesian networks

polytrees

Likelihood weighting

Markov chain Monte Carlo

RPMs

Temporal (over time)

Hidden Markov Models

Kalman filters

dynamic Bayesian networks

Markov decision processes

Transition model

Reward function

Game theory

Nash equilibria

Learning

Supervised

Classification

Regression

Loss function

Cross-validation

Unsupervised

Reinforcement Learning

Model-based design

Model-free design

Reflex design

Utility, Direct utility estimation, Adaptive dynamic programming, Temporal-difference

Reasoning

Logical agents

Propositional logic

WalkSAT (Local search method)

First-order logic

Modus Ponens

Forward chaning, Datalog

Backward chaning, Logic programming systems

Planning

Determenistic env., PDDL, State-space search, Progression, Regression, Planning graph

Nondetermenistic env., Hierarchical task network (HTN), Contingent plans, Online planning agent, Multiagent planning