Artificial Intelligence Systems Integration: Fundamentals and Applications
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Making discrete software components, such as voice synthesizers, compatible with other components, such as common sense knowledgebases, is the core concept behind the integration of artificial intelligence systems. The goal of this endeavor is to develop artificial intelligence systems that are larger, more comprehensive, and more powerful. The primary approaches that have been suggested for integration are known as message routing or communication protocols. These protocols are utilized by the software components in order for them to connect with one another, typically by means of a middleware blackboard system.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Artificial Intelligence Systems Integration
Chapter 2: History of Artificial Intelligence
Chapter 3: List of Artificial Intelligence Projects
Chapter 4: Symbolic Artificial Intelligence
Chapter 5: Hybrid Intelligent System
Chapter 6: Cognitive Computing
Chapter 7: Glossary of Artificial Intelligence
Chapter 8: Situated Approach (Artificial Intelligence)
Chapter 9: Outline of Artificial Intelligence
Chapter 10: OpenCog
(II) Answering the public top questions about artificial intelligence systems integration.
(III) Real world examples for the usage of artificial intelligence systems integration in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence systems integration' 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 artificial intelligence systems integration.
