Articles liés à Knowledge representation and reasoning
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Knowledge representation and reasoning is an area in artificial intelligence that is concerned with how to formally "think", that is, how to use a symbol system to represent "a domain of discourse" - that which can be talked about, along with functions that may or may not be within the domain of discourse that allow inference about the objects within the domain of discourse to occur. Generally speaking, some kind of logic is used both to supply a formal semantics of how reasoning functions apply to symbols in the domain of discourse, as well as to supply, operators such as quantifiers, modal operators, etc. that, along with an interpretation theory, give meaning to the sentences in the logic. When we design a knowledge representation we have to make trades across a number of design spaces, described in the following sections. The single most important decision to be made, however is the expressivity of the KR. The more expressive, the easier it is to "say something". However, more expressive languages are harder to automatically derive inferences from.
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Knowledge representation and reasoning
Edité par
Alphascript Publishing, 2010
ISBN 10 : 6130611056
ISBN 13 : 9786130611057
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Knowledge representation and reasoning is an area in artificial intelligence that is concerned with how to formally 'think', that is, how to use a symbol system to represent 'a domain of discourse' - that which can be talked about, along with functions that may or may not be within the domain of discourse that allow inference about the objects within the domain of discourse to occur. Generally speaking, some kind of logic is used both to supply a formal semantics of how reasoning functions apply to symbols in the domain of discourse, as well as to supply, operators such as quantifiers, modal operators, etc. that, along with an interpretation theory, give meaning to the sentences in the logic. When we design a knowledge representation we have to make trades across a number of design spaces, described in the following sections. The single most important decision to be made, however is the expressivity of the KR. The more expressive, the easier it is to 'say something'. However, more expressive languages are harder to automatically derive inferences from. 128 pp. Englisch. N° de réf. du vendeur 9786130611057
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Knowledge representation and reasoning | Artificial intelligence, Computability logic, Cyc, Description logic, Mathematical logic, Knowledge base, Knowledge discovery, Knowledge management, Knowledge retrieval, Meronomy, Metadata
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Taschenbuch. Etat : Neu. Knowledge representation and reasoning | Artificial intelligence, Computability logic, Cyc, Description logic, Mathematical logic, Knowledge base, Knowledge discovery, Knowledge management, Knowledge retrieval, Meronomy, Metadata | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130611057 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 101303622
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