Demystifying Artificial Intelligence
Symbolic, Data-Driven, Statistical and Ethical AI
Contributor(s)
Gillain, Emmanuel (editor)
Language
EnglishAbstract
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.
Keywords
Machine Learning; Natural Language Processing; Neural Networks; Logic ReasoningDOI
10.1515/978311142614ISBN
9783111426143, 9783111425672, 9783111426303, 9783111426143Publisher
De GruyterPublisher website
https://0-www-degruyter-com.catalogue.libraries.london.ac.uk/Publication date and place
Berlin/Boston, 2024Imprint
De GruyterSeries
De Gruyter STEM,Classification
Information technology: general topics
Artificial intelligence
Machine learning
Human–computer interaction