Hybrid Intelligent System: Fundamentals and Applications
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A hybrid intelligent system is a software system that uses, in parallel, a combination of methods and techniques from various subfields in artificial intelligence. Some examples of these methods and techniques include:Neuro-symbolic systemsNeuro-fuzzy systemsModels that are hybrids of connectionist and symbolic logicExpert systems that are fuzzyConnectionist expert systemsNetworks of neurons that have evolved over timeSystems based on genetic fuzzy logicHybridization of rough and fuzzyLearning through reinforcement, using fuzzy, neural, or evolutionary approaches, in addition to symbolic reasoning approaches.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Hybrid Intelligent System
Chapter 2: List of artificial intelligence projects
Chapter 3: Cognitive Science
Chapter 4: Connectionism
Chapter 5: Symbolic Artificial Intelligence
Chapter 6: Intelligent Control
Chapter 7: Computational Intelligence
Chapter 8: Cognitive Architecture
Chapter 9: Computational Cognition
Chapter 10: Connectionist Expert System
(II) Answering the public top questions about hybrid intelligent system.
(III) Real world examples for the usage of hybrid intelligent system in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of hybrid intelligent system' 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 hybrid intelligent system.
