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AIMenta

Category · 15 terms

Foundations & History
defined clearly.

The ideas, debates, and milestones that shape modern AI — from symbolic reasoning to deep learning.

intermediate

A* Search (A-Star)

A heuristic search algorithm that finds the shortest path between nodes by combining actual cost-so-far with an estimated cost-to-goal.

Acronym foundational

Artificial General Intelligence (AGI)

A hypothetical AI system that matches or exceeds human capability across the full range of intellectual tasks, not just narrow domains.

Acronym foundational

Artificial Intelligence (AI)

The science and engineering of building machines that perform tasks associated with human intelligence — the umbrella discipline under which ML, NLP, CV, and robotics live.

Acronym foundational

Artificial Narrow Intelligence (ANI)

AI specialised for a single task or narrow domain — image classification, fraud detection, language translation. Every system in production today is ANI.

advanced

Bayesian Inference

A statistical approach that updates beliefs about hypotheses as new evidence arrives, using Bayes' theorem.

foundational

Cognitive Science

The interdisciplinary study of the mind — psychology, linguistics, neuroscience, philosophy, computer science, and anthropology; one of AI's parent disciplines.

intermediate

Connectionism

The view that cognition emerges from the interactions of many simple connected units — the intellectual ancestor of modern neural networks and deep learning.

advanced

Cybernetics

The transdisciplinary study of regulatory systems — feedback, control, and communication in animals, machines, and organisations. The intellectual forerunner of AI.

intermediate

Expert System

A rule-based AI system that captures domain knowledge from human experts and applies it through a logical inference engine.

advanced

Game Theory

The mathematical study of strategic decision-making between rational agents. Foundational to multi-agent AI, mechanism design, and adversarial ML.

foundational

Heuristic

A rule of thumb or approximation that gives good-enough answers with bounded effort, even if not optimal — the unglamorous backbone of production AI.

intermediate

Markov Chain

A stochastic process where the next state depends only on the current state — the mathematical foundation of many ML techniques and the original language-model idea.

intermediate

Optimization

The mathematical discipline of finding parameter values that minimise or maximise an objective — the engine under every trained machine-learning model.

intermediate

Symbolic AI (GOFAI)

The pre-deep-learning approach of encoding knowledge as explicit logical rules and symbols. Often called "Good Old-Fashioned AI."

foundational

Turing Test

Alan Turing's 1950 thought experiment: if a human judge cannot reliably distinguish a machine's text replies from a human's, the machine demonstrates intelligent behaviour.