Dekorationsartikel gehören nicht zum Leistungsumfang.
Sprache:
Englisch
89,30 €*
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
Kategorien:
Beschreibung
A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems.
One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.
One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.
A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems.
One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.
One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.
Über den Autor
Marjorie McShane and Sergei Nirenburg
Details
Erscheinungsjahr: | 2021 |
---|---|
Fachbereich: | EDV |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262045582 |
ISBN-10: | 0262045583 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Mcshane, Marjorie
Nirenburg, Sergei |
Hersteller: | MIT Press Ltd |
Maße: | 186 x 237 x 32 mm |
Von/Mit: | Marjorie Mcshane (u. a.) |
Erscheinungsdatum: | 02.03.2021 |
Gewicht: | 0,894 kg |
Über den Autor
Marjorie McShane and Sergei Nirenburg
Details
Erscheinungsjahr: | 2021 |
---|---|
Fachbereich: | EDV |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262045582 |
ISBN-10: | 0262045583 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Mcshane, Marjorie
Nirenburg, Sergei |
Hersteller: | MIT Press Ltd |
Maße: | 186 x 237 x 32 mm |
Von/Mit: | Marjorie Mcshane (u. a.) |
Erscheinungsdatum: | 02.03.2021 |
Gewicht: | 0,894 kg |
Warnhinweis