Artificial Intelligence Discipline
(Redirected from AI Discipline)
Jump to navigation
Jump to search
An Artificial Intelligence Discipline is a computing science subdiscipline that focuses on the AI subject area (the creation of intelligent machines that can solve an intelligence task).
- Context:
- It can (typically) include Artificial Intelligence Research.
- It can (typically) include Artificial Intelligence Education.
- It can (typically) encompass areas like Machine Learning, Natural Language Processing, and Robotics.
- It can (often) involve the development of algorithms and systems that exhibit intelligent behavior.
- It can aim to simulate or enhance specific cognitive functions such as learning, reasoning, perception, and language understanding.
- It can have applications ranging from Autonomous Vehicles to Healthcare Informatics.
- ...
- Example(s):
- Machine Learning Discipline as a subfield focusing on algorithms and statistical models.
- Computer Vision Discipline as a subfield focusing on enabling machines to interpret and process visual data.
- …
- Counter-Example(s):
- See: Artificial Intelligence Practice, Logic, AAAI Organization, Artificial Intelligence Industry, AI Textbook.
References
2022
- (Wikipedia, 2022) ⇒ https://en.wikipedia.org/wiki/Artificial_intelligence Retrieved:2022-7-10.
- Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. AI research has been defined as the field of study of intelligent agents, which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals.
(...)
This raised philosophical arguments about the mind and the ethical consequences of creating artificial beings endowed with human-like intelligence; these issues have previously been explored by myth, fiction and philosophy since antiquity.Computer scientists and philosophers have since suggested that AI may become an existential risk to humanity if its rational capacities are not steered towards beneficial goals.
- Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. AI research has been defined as the field of study of intelligent agents, which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals.
2015
- (Green et al., 2015) ⇒ Spence Green, Jeffrey Heer, and Christopher D. Manning. (2015). “Natural Language Translation at the Intersection of AI and HCI.” In: Communications of the ACM Journal, 58(9). doi:10.1145/2767151
- QUOTE: The fields of artificial intelligence (AI) and human-computer interaction (HCI) are influencing each other like never before.
2002
- (Melli, 2002) ⇒ Gabor Melli. (2002). “Data Mining Glossary.
- Artificial Intelligence (AI): The science of algorithms that exhibit intelligent (rational) behaviour. See: Abductive logic, Deductive logic, Inductive logic, Expert Systems, Machine Learning, Heuristics.