A blackboard system is an artificial intelligence approach based on the blackboard architectural model, where a common knowledge base, the "blackboard", is iteratively updated by a diverse group of specialist knowledge sources, starting with a problem specification and ending with a solution.
The blackboard architecture is a flexible and powerful expert system framework. It represents a general approach to problem solving that is useful in many domains of applications especially in the area of intelligent control.
A blackboard system consists of three components: 1) Knowledge sources (KSs); 2) Blackboard; 3) Control component. Knowledge sources are independent modules that contain the knowledge needed for problem solving.
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What is rule-based AI? A system designed to achieve artificial intelligence (AI) via a model solely based on predetermined rules is known as a rule-based AI system. The makeup of this simple system comprises a set of human-coded rules that result in pre-defined outcomes.Sep 13, 2021
A blackboard system consists of three components: 1) Knowledge sources (KSs); 2) Blackboard; 3) Control component.
Structure. The blackboard model defines three main components: blackboard - a structured global memory containing objects from the solution space. knowledge sources - specialized modules with their own representation.
The Pipe and Filter is an architectural pattern for stream processing. It consists of one or more components called filters. These filters will transform or filter data and then pass it on via connectors called pipes.