# Artificial Intelligence glossary

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.

## Commonsense Reasoning

## Computational Complexity Theory

- Why is computational complexity theory important?
- What is the theory of computation in simple words?
- What is the computational complexity theory?
- What is the concept of complexity theory?
- What are examples of computational complexity?
- What is the difference between computation theory and complexity theory?

## Computational Creativity

## Computational Intelligence

## Computational Learning Theory

- What are the three main classes areas of study in computation theory?
- What is learning in the limit in computational learning theory?
- What is the computational learning theory?
- What is the learning theory of computational intelligence?
- What is the Theory of Computation machine learning?
- What is the difference between computational learning theory and statistical learning theory?

## Computational Problem

## Computational Statistics

- What are the different types of computational statistics?
- Should I learn statistical learning or machine learning?
- Is computational statistics hard?
- Is data science computational statistics?
- What is the difference between computational statistics and traditional statistics?
- What is the difference between machine learning and computational statistics?

## Computer-Automated Design

## Computer Science

## Concept Drift

## Constrained Conditional Model

## Constraint Logic Programming

## Control Theory

## Dartmouth Workshop

## Data Augmentation

## Data Fusion

## Data Integration

## Decision Boundary

## Decision Support System

## Decision Theory

## Decision Tree Learning

## Declarative Programming

## Deep Blue

## Default Logic

## Description Logic

## Diagnosis

## Dialogue System

## Dimensionality Reduction

## Discrete System

## Distributed Artificial Intelligence

## Dynamic Epistemic Logic

## Ebert Test

## Ensemble Averaging

## Epoch

## Ethics Of Artificial Intelligence

## Evolutionary Computation

## Evolving Classification Function

## Existential Risk

## Expert System

## Feature Learning

- What is the difference between features and parameters?
- What is a feature in machine learning example?
- What is the difference between feature learning and feature extraction?
- What is feature in deep learning?
- What is feature learning and classification in CNN?
- What is feature vs parameter machine learning?

## Feature Selection

## Federated Learning

- What is federated learning in simple words?
- Does PyTorch have federated learning?
- What is the difference between federated learning and machine learning?
- What is the difference between split learning and federated learning?
- What problem does federated learning solve?
- Did Google invent federated learning?

## First-Order Logic

## Formal Language

## Forward Chaining

## Frame

## Frame Problem

## Friendly Artificial Intelligence

## Fuzzy Control System

## General Game Playing

## Generative Artificial Intelligence

## Genetic Algorithm

## Glowworm Swarm Optimization

## Graph

## Graph Theory

## Halting Problem

## Heuristic

## Hidden Unit

## Ieee Computational Intelligence Society

## Incremental Learning

- What are the three 3 benefits of incremental development?
- What are the three types of incremental learning?
- What is incremental model training?
- Is incremental learning the same as continual learning?
- What is the difference between reinforcement learning and incremental learning?
- What are the advantages of incremental learning?

## Intelligence Explosion

## Intelligent Agent

- What are the four 4 characteristics of an intelligent agent?
- What are intelligent agents explain with example?
- What are the 5 examples of intelligent agents?
- What is the difference between intelligent agent and AI?
- Are humans intelligent agents?
- What is the difference between an intelligent agent and a rational agent?

## Intelligent Control

## Interpretation

## Intrinsic Motivation

## Issue Tree

## Junction Tree Algorithm

## Kernel Method

## Knowledge Acquisition

## Knowledge Engineering

## Knowledge Extraction

## Knowledge Interchange Format

## Lisp

## Markov Chain

## Markov Decision Process

- What are the four elements of the Markov Decision Process?
- What is a real life example of the Markov Decision Process?
- What is the Markov Decision Process in simple terms?
- What is the Markov process in simple terms?
- What are the three elements of the Markov Decision Process?
- What is the state in the Markov Decision Process?

## Machine Perception

## Mechatronics

## Metabolic Network Reconstruction And Simulation

## Model Checking

## Modus Ponens

## Modus Tollens

## Multi-Swarm Optimization

## Mutation

## Mycin

## Naive Bayes Classifier

## Naive Semantics

## Named-Entity Recognition

## Named Graph

## Natural Language Generation

## Natural Language Processing

## Network Motif

## Neural Machine Translation

- What is the main disadvantage of neural machine translation?
- How does neural machine translation works?
- Why is neural machine translation better?
- What are the issues with neural machine translation?
- Does Google Translate use neural machine translation?
- Which neural network is best for machine translation?

## Neuro-Fuzzy

## Node

## Nondeterministic Algorithm

- What is meant by non deterministic?
- What is the difference between randomized and non randomized?
- Which algorithms are non deterministic?
- What is an example of a nondeterministic system?
- What is the difference between deterministic and non deterministic algorithm?
- What is the difference between randomized and non deterministic algorithms?