Demystifying Artificial Intelligence : Symbolic, Data-Driven, Statistical and Ethical AI

doi:10.1515/978311142614

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https://library.oapen.org/bitstream/20.500.12657/94293/1/9783111426143.pdf
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https://library.oapen.org/bitstream/20.500.12657/94293/1/9783111426143.pdf
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https://library.oapen.org/bitstream/20.500.12657/94293/1/9783111426143.pdf

Contributor(s)

Gillain, Emmanuel (editor)

Language

English

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Abstract

The book provides an overview of the different AI technologies, demystifying terms such as search, reasoning, learning, adapting, understanding, and interacting. It covers the two dominant paradigms in AI, both the “data-driven” and “symbolic” AI systems, showing how they can complement each other. The theory is illustrated with 22 real-world examples from industry, giving a solid understanding of AI concepts, applicability, and limitations.

URI

https://directory.doabooks.org/handle/20.500.12854/147564

Keywords

Machine Learning; Natural Language Processing; Neural Networks; Logic Reasoning; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction