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Blackboard (design pattern) In software engineering, the blackboard pattern is a behavioral design pattern [1] that provides a computational framework for the design and implementation of systems that integrate large and diverse specialized modules, and implement complex, non-deterministic control strategies. [2] [1]
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. One attempt in doing so is a SQL database, another option is the Learnable Task Modeling ...
Gestalt pattern matching. Gestalt pattern matching, [1] also Ratcliff/Obershelp pattern recognition, [2] is a string-matching algorithm for determining the similarity of two strings. It was developed in 1983 by John W. Ratcliff and John A. Obershelp and published in the Dr. Dobb's Journal in July 1988. [2]
An open-source source code pattern matching and transformation. Code Dx: No; proprietary — C, C++, C# Java, JSP, Scala: JavaScript VB.NET Python PHP, Rails, Ruby, XML: Software application vulnerability correlation and management system that uses multiple SAST and DAST tools, as well as the results of manual code reviews. Can calculate ...
Influenced. Java [2] In computer science, Linda is a coordination model that aids communication in parallel computing environments. Developed by David Gelernter, it is meant to be used alongside a full-fledged computation language like Fortran or C where Linda's role is to " create computational activities and to support communication among them".
In computer science, pattern matching is the act of checking a given sequence of tokens for the presence of the constituents of some pattern. In contrast to pattern recognition, the match usually has to be exact: "either it will or will not be a match." The patterns generally have the form of either sequences or tree structures.
Rete algorithm. The Rete algorithm ( / ˈriːtiː / REE-tee, / ˈreɪtiː / RAY-tee, rarely / ˈriːt / REET, / rɛˈteɪ / reh-TAY) is a pattern matching algorithm for implementing rule-based systems. The algorithm was developed to efficiently apply many rules or patterns to many objects, or facts, in a knowledge base.
Tuple space. A tuple space is an implementation of the associative memory paradigm for parallel/distributed computing. It provides a repository of tuples that can be accessed concurrently. As an illustrative example, consider that there are a group of processors that produce pieces of data and a group of processors that use the data.