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Content-addressable memory (CAM) is a special type of computer memory used in certain very-high-speed searching applications. It is also known as associative memory or associative storage and compares input search data against a table of stored data, and returns the address of matching data. [1]
A matching logic may also have a set of sorts. In that case, each pattern belongs to a particular sort. Structures can be used to combine patterns of different sorts together. Some examples of sorts used when working with program semantics might be "32-bit integer values", "stack frames", or "heap memory".
Autoassociative memory, all computer memories that enable one to retrieve a piece of data from only a tiny sample of itself; Bidirectional associative memory, a type of recurrent neural network; Hopfield network, a form of recurrent artificial neural network; Transderivational search in psychology or cybernetics, a search for a fuzzy match ...
A Hopfield network (or associative memory) is a form of recurrent neural network, or a spin glass system, that can serve as a content-addressable memory. The Hopfield network, named for John Hopfield , consists of a single layer of neurons, where each neuron is connected to every other neuron except itself.
In computer science, an associative array, map, symbol table, or dictionary is an abstract data type that stores a collection of (key, value) pairs, such that each possible key appears at most once in the collection. In mathematical terms, an associative array is a function with finite domain. [1] It supports 'lookup', 'remove', and 'insert ...
Bidirectional associative memory (BAM) is a type of recurrent neural network. BAM was introduced by Bart Kosko in 1988. [1] There are two types of associative memory, auto-associative and hetero-associative. BAM is hetero-associative, meaning given a pattern it can return another pattern which is potentially of a different size.
The content of all matching cells can be changed simultaneously. A typical CAPP might consist of an array of content-addressable memory of fixed word length, a sequential instruction store, and a general purpose computer of the Von Neumann architecture that is used to interface peripherals.
In the context of game AI programming, a fuzzy associative matrix helps to develop the rules for non-player characters. [2] Suppose a professional is tasked with writing fuzzy logic rules for a video game monster. In the game being built, entities have two variables: hit points (HP) and firepower (FP):