AI Categories

AI Categories

Affective computing: The study and development of systems and devices that can recognise.

Artificial immune systems: Intelligent, rule-based machine learning systems based primarily on the inherent principles and processes contained within vertebrate immune systems.

Chatterbot: A type of conversational agent or computer program designed to simulate an intelligent conversation with one or more human users through text or audio channels.

Cognitive architecture: A theory about the structure of the human mind. One of the main goals is to incorporate concepts from cognitive psychology into a comprehensive computer model.

Computer vision: An interdisciplinary field that deals with how computers can gain high-level understanding from digital images or videos.

Evolutionary computing: The use of evolutionary algorithms based on Darwinian principles from which the name is derived. These algorithms belong to a family of trial-and-error problem solvers and use metaheuristic or stochastic global methods to determine many solutions.

Gaming AI: AI used in games to generate intelligent behaviours, primarily in non-player characters (NPCs), often simulating human-like intelligence.

Human-Computer-Interface (HCI): HCI researches the design and use of computer technology, focused on the interfaces between people (users) and computers

Intelligent soft assistant or intelligent personal assistant (IPA): A software agent that can perform tasks or services for an individual. These tasks or services are usually based on user input, location awareness, and the ability to access information from a variety of online sources. Examples of such an agent are Apple’s Siri, Amazon’s Alexa, Amazon’s Evi, Google’s Home, Microsoft’s Cortana, the open source Lucida, Braina (application developed by Brainasoft for Microsoft Windows), Samsung’s S Voice, and LG G3’s Voice Mate.

Knowledge engineering: Refers to all technical, scientific, and social aspects involved in building, maintaining, and using knowledge-based systems.

Knowledge representation (KR): Dedicated to representing information about the world in a form that a computer system can utilise to solve complex tasks, such as diagnosing a medical condition or having a dialog in a natural language.

Logic programming: A type of programming largely based on formal logic. Any program written in a logic programming language is a set of sentences in logical form, expressing facts and rules about some problem domain. Major logic programming language families include Prolog, answer set programming (ASP), and Data log.

Machine learning (ML): ML in the AI context provides computers the ability to learn without being explicitly programmed. Shallow and deep learning are two major subfields.

Multi-agent system (M.A.S.): M.A.S. is a computerised system composed of multiple interacting intelligent agents within an environment.

Robotics: Robotics is the interdisciplinary branches of engineering and science that includes mechanical engineering, electrical engineering, computer science, AI, and others.

Robots: A robot is a machine, especially one programmable by a computer, which is capable of carrying out a complex series of actions autonomously.

Rule engines or systems: Rule-based systems are used to store and manipulate knowledge to interpret information in a useful way.

Turing test: The Turing test is a test, developed by Alan Turing in 1950, of a machine’s ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human.