Concepts inClassifier systems that compute action mappings
Classifier (UML)
A classifier is a category of Unified Modeling Language (UML) elements that have some common features, such as attributes or methods. A classifier is an abstract metaclass classification concept that serves as a mechanism to show interfaces, classes, datatypes and components. A classifier describes a set of instances that have common behavioral and structural features. A classifier is a namespace whose members can specify a generalization hierarchy by referencing its general classifiers.
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Computational complexity theory
Computational complexity theory is a branch of the theory of computation in theoretical computer science and mathematics that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other. In this context, a computational problem is understood to be a task that is in principle amenable to being solved by a computer (which basically means that the problem can be stated by a set of mathematical instructions).
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Binary function
In mathematics, a binary function, or function of two variables, is a function which takes two inputs. Precisely stated, a function is binary if there exists sets such that where is the Cartesian product of and
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Learning classifier system
A learning classifier system, or LCS, is a machine learning system with close links to reinforcement learning and genetic algorithms. First described by John Holland, his LCS consisted of a population of binary rules on which a genetic algorithm altered and selected the best rules. Rule fitness was based on a reinforcement learning technique. Learning classifier systems can be split into two types depending upon where the genetic algorithm acts.
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