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Integrating Multiple Learning Components Through Markov Logic. Twenty-Third Conference on Artificial Intelligence (AAAI-2008). 622-627 [31] Dietterich, T. G. (2007). Machine Learning in Ecosystem Informatics. Proceedings of the Tenth International Conference on Discovery Science. Lecture Notes in Artificial Intelligence Volume 4755, Springer ...
Artificial intelligence is used in astronomy to analyze increasing amounts of available data [166] [167] and applications, mainly for "classification, regression, clustering, forecasting, generation, discovery, and the development of new scientific insights" for example for discovering exoplanets, forecasting solar activity, and distinguishing ...
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]
The history of artificial intelligence (AI) began in antiquity, with myths, stories, and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. The study of logic and formal reasoning from antiquity to the present led directly to the invention of the programmable digital computer in the 1940s, a machine ...
Prof. KC Santosh—a highly accomplished AI expert—is the chair of the Department of Computer Science and the founding director of the Applied AI Research Lab at the University of South Dakota (USD) [1] [2].
Lecture Notes in Computer Science is a series of computer science books published by Springer Science+Business Media since 1973. Overview
The philosophy of artificial intelligence is a branch of the philosophy of mind and the philosophy of computer science [1] that explores artificial intelligence and its implications for knowledge and understanding of intelligence, ethics, consciousness, epistemology, and free will.