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What Is Artificial Intelligence Frame
Frames are a form of data structure used in artificial intelligence that reflect "stereotyped situations" in order to facilitate the division of knowledge into substructures. In his article "A Framework for Representing Knowledge" published in 1974, Marvin Minsky made the initial suggestion for them. The fundamental data structure that is utilized in artificial intelligence frame languages is known as a frame, and frames are kept as ontologies of sets.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Frame (artificial intelligence)
Chapter 2: Knowledge representation and reasoning
Chapter 3: Ontology (computer science)
Chapter 4: Semantic Web
Chapter 5: Web Ontology Language
Chapter 6: Symbolic artificial intelligence
Chapter 7: Logic in computer science
Chapter 8: Knowledge-based systems
Chapter 9: Reasoning system
Chapter 10: Glossary of artificial intelligence
(II) Answering the public top questions about artificial intelligence frame.
(III) Real world examples for the usage of artificial intelligence frame in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence frame' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence frame.
Frames are a form of data structure used in artificial intelligence that reflect "stereotyped situations" in order to facilitate the division of knowledge into substructures. In his article "A Framework for Representing Knowledge" published in 1974, Marvin Minsky made the initial suggestion for them. The fundamental data structure that is utilized in artificial intelligence frame languages is known as a frame, and frames are kept as ontologies of sets.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Frame (artificial intelligence)
Chapter 2: Knowledge representation and reasoning
Chapter 3: Ontology (computer science)
Chapter 4: Semantic Web
Chapter 5: Web Ontology Language
Chapter 6: Symbolic artificial intelligence
Chapter 7: Logic in computer science
Chapter 8: Knowledge-based systems
Chapter 9: Reasoning system
Chapter 10: Glossary of artificial intelligence
(II) Answering the public top questions about artificial intelligence frame.
(III) Real world examples for the usage of artificial intelligence frame in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence frame' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence frame.