A blackboard system in computer science is a type of Artificial Intelligence application based on the blackboard architectural model. The following scenario provides a simple metaphor that gives some insight into how a blackboard system works: Computer science, or computing science, is the study of the theoretical foundations of information and computation and their implementation and application in computer systems. ... AI redirects here. ... The software architecture of a program or computing system is the structure or structures of the system, which comprise software elements, the externally visible properties of those elements, and the relationships between them. ...

A group of specialists are seated in a room with a large blackboard. The specialists are working as a team to brainstorm a solution to a problem, using the blackboard as the workplace for cooperatively developing the solution. The session begins when the problem specifications are written onto the blackboard. The specialists all watch the blackboard, looking for an opportunity to apply their expertise to the developing solution. When someone writes something on the blackboard that allows another specialist to apply her expertise, she records her contribution on the blackboard, hopefully enabling other specialists to then apply their expertise. This process of adding contributions to the blackboard continues until the problem has been solved.

A blackboard system enables this flexible brainstorming style of interaction between diverse software specialists. Each of these specialists scans the changes to the blackboard, and posts an updated partial solution based on the state of the blackboard whenever its own internal conditions for doing so are met. These partial solutions cause other knowledge sources to update their portions of the solution on the blackboard until eventually an answer is found. In this fashion, the specialists work together to solve the problem.

A blackboard-system application consists of three major components:

1. The software specialist modules, which are called knowledge sources (KSs). Like the human experts at a blackboard, each knowledge source provides specific expertise needed by the application. The ability to support interaction and cooperation among diverse KSs creates enormous flexibility in designing and maintaining applications. As the pace of technology has intensified, it becomes ever more important to be able to replace software modules as they become outmoded or obsolete.

2. The blackboard, a shared repository of problems, partial solutions, suggestions, and contributed information. The blackboard can be thought of as a dynamic "library" of contributions to the current problem that have been recently "published" by other knowledge sources.

3. The control shell, which controls the flow of problem-solving activity in the system. Just as the eager human specialists need a moderator to prevent them from trampling in a mad dash to grab the chalk, KSs need a mechanism to organize their use in the most effective and coherent fashion. In a blackboard system, this is provided by the control shell.

The blackboard model was originally designed as a means to handle complex, ill-defined problems. Famous examples of early academic systems are the Hearsay II speech recognition system and Douglas Hofstadter's Copycat and Numbo projects. More recent examples of the technology include deployed real-world applications. For example, the PLAN component of the Mission Control System for RADARSAT-1, an Earth observation satellite developed by Canada to monitor environmental changes and the planet's natural resources, is a blackboard system. Douglas Richard Hofstadter (born February 15, 1945 in New York, New York) is an American academic. ... Copycat is a model of analogy making and human cognition based on the concept of the parallel terraced scan, developed by Douglas Hofstadter, Melanie Mitchell, and others at the at Center for Research on Concepts and Cognition, Indiana University at Bloomington. ...

References

• Lee D. Erman, Frederick Hayes-Roth, Victor R. Lesser, and D. Raj Reddy, The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty, Computing Surveys, 12(2):213-253, June 1980.
• Hayes-Roth, B. A blackboard architecture for control. Artificial Intelligence, 1985, 26, 251-321.
• Nii, H. P. Blackboard Systems. 1986.
• Daniel D. Corkill, Kevin Q. Gallagher, and Philip M. Johnson. Achieving flexibility, efficiency, and generality in blackboard architectures. In Proceedings of the National Conference on Artificial Intelligence, pages 18-23, Seattle, Washington, July 1987. Retrieve Article
• Robert S. Engelmore and Anthony Morgan, editors. Blackboard Systems. Addison-Wesley, 1988.
• V. Jagannathan, Rajendra Dodhiawala, and Lawrence S. Baum, editors. Blackboard Architectures and Applications, Academic Press, 1989.
• Norman Carver. A Revisionist View of Blackboard Systems. In Proceedings of the 1997 Midwest Artificial Intelligence and Cognitive Science Society Conference, May 1997. Retrieve Article
• Daniel D. Corkill. Blackboard Systems. AI Expert, 6(9):40-47, September, 1991. Retrieve Article
• Daniel D. Corkill. Countdown to Success: Dynamic objects, GBB, and RADARSAT-1, Communications of the ACM, 40(5):48-58, May 1997. Retrieve Article

Rick Hayes-Roth (born 1947) is currently a professor in the Information Sciences Department at the United States Navys Naval Postgraduate School in Monterey, California. ...

External links

• Open Blackboard System An open source framework for developing blackboard systems.
• BBTech Corporation A company that develops and maintains blackboard applications.
• GBBopen An open source blackboard system framework.
• SQLBusRT A blackboard implementation with temporal historical data added.
• CMLabs, creators of the Psyclone AI operating system.