Symbolic Artificial Intelligence: Fundamentals and Applications

· Artificial Intelligence Book 160 · One Billion Knowledgeable · AI-narrated by Mason (from Google)
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2 hr 55 min
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What Is Symbolic Artificial Intelligence


In the field of artificial intelligence, the term "symbolic artificial intelligence" refers to the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of issues, logic, and search. In other words, symbolic artificial intelligence is the name for the collection of all methods in artificial intelligence research. Symbolic AI created applications such as knowledge-based systems, symbolic mathematics, automated theorem provers, ontologies, the semantic web, and automated planning and scheduling systems. It utilized techniques such as logic programming, production rules, and semantic nets and frames. The paradigm of symbolic artificial intelligence led to the development of important ideas in the fields of search, symbolic programming languages, agents, multi-agent systems, the semantic web, as well as the benefits and drawbacks of formal knowledge and reasoning systems.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Symbolic Artificial Intelligence


Chapter 2: Artificial Intelligence


Chapter 3: Expert System


Chapter 4: Knowledge Representation and Reasoning


Chapter 5: Neats and Scruffies


Chapter 6: Dendral


Chapter 7: Computational Cognition


Chapter 8: Physical Symbol System


Chapter 9: History of Artificial Intelligence


Chapter 10: Hybrid Intelligent System


(II) Answering the public top questions about symbolic artificial intelligence.


(III) Real world examples for the usage of symbolic artificial intelligence in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of symbolic artificial intelligence' 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 symbolic artificial intelligence.

About the author

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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