A blackboard system is an artificial intelligence technique that is based on the blackboard architectural model. In this paradigm, a common knowledge base, also known as the "blackboard," is iteratively updated by a diverse set of expert knowledge sources, beginning with a problem specification and ending with a solution. A blackboard system is also known as a blackboard system. If a knowledge source's internal constraints are satisfied by the current state of the blackboard, then that knowledge source contributes a partial solution to the blackboard. The problem is ultimately solved as a result of the combined efforts of the specialists. The blackboard model was at first conceived as a method for dealing with difficult, ill-defined situations in which the solution is equal to the total of the problem's components.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Blackboard System
Chapter 2: Artificial Intelligence
Chapter 3: Expert System
Chapter 4: Knowledge Representation and Reasoning
Chapter 5: Distributed Artificial Intelligence
Chapter 6: Symbolic Artificial Intelligence
Chapter 7: Collaborative Intelligence
Chapter 8: Multi-Agent System
Chapter 9: Knowledge-Based Systems
Chapter 10: Outline of Artificial Intelligence
(II) Answering the public top questions about blackboard system.
(III) Real world examples for the usage of blackboard system in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of blackboard 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 blackboard system.