A blackboard system is the central space in a multi-agent system. It's used for describing the world as a communication platform for agents. To realize a blackboard in a computer program, a machine readable notation is needed in which facts can be stored.
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.control component - selects, configures and executes modules.
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.
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.
Architectures must have both form and function and it is a good test of an architecture to measure its elegance. An architecture that is well designed will tend to be elegant and have a simplicity of form that will be obvious to those that take the time study it.
Blackboard is a Web-based course-management system designed to allow students and faculty to participate in classes delivered online or use online materials and activities to complement face-to-face teaching.
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A software architect makes important decisions regarding the software that goes on to define its overall integrity. A good software architecture helps define attributes such as performance, quality, scalability, maintainability, manageability, and usability.Jul 12, 2021
Advantages of Blackboard Architecture Style Blackboard architecture style provides concurrency which allows knowledge sources to work in parallel. This architecture supports experimentation for hypotheses and reusability of knowledge source components.
In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if-then rules rather than through conventional procedural code.Jan 18, 2018
Data flow architecture reduces development time and can move easily between design and implementation. It has main objective is to achieve the qualities of reuse and modifiability. In data flow architecture, the data can be flow in the graph topology with cycles or in a linear structure without cycles.
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