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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.
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.
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