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Unconventional computing (also known as alternative computing or nonstandard computation) is computing by any of a wide range of new or unusual methods. The term unconventional computation was coined by Cristian S. Calude and John Casti and used at the First International Conference on Unconventional Models of Computation [ 1 ] in 1998.
The communicative facet deals with processing permanent information and is characterized by actions sending and receiving messages and “offer[ing] contracts to agents.” [2] There are two different kinds of actions in terms of their effect on the information in each facet. Primitive actions only affect the
Intuition in the context of decision-making is defined as a "non-sequential information-processing mode." [1] It is distinct from insight (a much more protracted process) and can be contrasted with the deliberative style of decision-making.
In computing, online analytical processing, or OLAP (/ ˈ oʊ l æ p /), is an approach to quickly answer multi-dimensional analytical (MDA) queries. [1] The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). [ 2 ]
Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources. Typically, this involves processing human language texts by means of natural language processing (NLP). [1]
A prompt for a text-to-text language model can be a query, a command, or a longer statement including context, instructions, and conversation history. Prompt engineering may involve phrasing a query, specifying a style, choice of words and grammar, [ 3 ] providing relevant context, or describing a character for the AI to mimic.
Information systems are distinct from information technology (IT) in that an information system has an information technology component that interacts with the processes' components. One problem with that approach is that it prevents the IS field from being interested in non-organizational use of ICT, such as in social networking, computer ...
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]