Means-Ends Analysis

AI uses means-ends analysis to navigate through a hierarchy of goals and subgoals in state space search

Heuristic Methods

Adversarial Search

Adversarial search is used in competitive environments, such as games, to evaluate potential moves and responses in state space search

Local Search Methods

Local search methods, such as gradient descent and evolutionary algorithms, are used to iteratively improve upon an initial solution in state space search

Neural Network Training

Local search methods are particularly effective in neural network training, where they adjust parameters to minimize a cost function and improve the model's performance

Propositional Logic

Propositional logic deals with statements connected by logical operators, while predicate logic extends this to include relations among objects and quantification over individuals

Logical Inference

Resolution

Resolution is a fundamental inference rule used in AI reasoning to derive new truths from established facts

Computational Demands

Due to the computational demands, logical inference is limited to simpler cases or specialized domains in AI

Fuzzy Logic

Fuzzy logic allows for reasoning with degrees of truth, accommodating imprecise or uncertain information in AI

Bayesian Networks

Bayesian networks utilize algorithms such as Bayesian inference to manage probabilistic relationships and enable AI to make informed predictions and decisions

Filtering, Prediction, and Smoothing

Probabilistic methods, such as filtering, prediction, and smoothing, are essential for understanding temporal data streams in AI

Decision Theory

Markov Decision Processes

Markov decision processes provide a structured approach for decision-making under uncertainty in AI

Game Theory

Game theory is used in AI to develop strategies and plans in uncertain environments

Supervised Learning

Supervised learning techniques enable AI classifiers to learn from labeled data and make accurate predictions

Common Classifiers

Decision Trees

Decision trees are a common classifier in AI that use a tree-like model to classify data

Neural Networks

Neural networks are advanced classifiers in AI that can model complex relationships and are trained using algorithms to optimize performance

Deep Learning

Deep learning, a subset of machine learning, has revolutionized fields like computer vision and natural language processing by enabling the extraction of complex features from raw data in AI