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Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...
CAI—Computer-aided instruction; CAM—Computer-aided manufacturing; CAP—Consistency availability partition tolerance (theorem) CAPTCHA—Completely automated public Turing test to tell computers and humans apart; CAT—Computer-aided translation; CAQ—Computer-aided quality assurance; CASE—Computer-aided software engineering; cc—C compiler
AI, at its best, is not a solver of uncertainty but an enabler of its transformation—a mediator of meaning, a catalyst for systemic integrity, and a partner in the ongoing evolution of human ...
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [ 1 ]
Lisp was the first language developed for artificial intelligence. It includes features intended to support programs that could perform general problem solving, such as lists, associations, schemas (frames), dynamic memory allocation, data types , recursion, associative retrieval, functions as arguments, generators (streams), and cooperative ...
Reinforcement learning was used to teach o3 to "think" before generating answers, using what OpenAI refers to as a "private chain of thought". [10] This approach enables the model to plan ahead and reason through tasks, performing a series of intermediate reasoning steps to assist in solving the problem, at the cost of additional computing power and increased latency of responses.
CI is an alternative to AI; AI includes CI; CI includes AI; The view of the first of the above three points goes back to Zadeh, the founder of the fuzzy set theory, who differentiated machine intelligence into hard and soft computing techniques, which are used in artificial intelligence on the one hand and computational intelligence on the other.