Aura, a Distributed Associative Memory for High Speed Symbolic Reasoning

A Cellular Neural Associative Array for Symbolic Vision

A system which combines the descriptional power of symbolic representations with the parallel and distributed processing model of cellular automata and the speed and robustness of connectionist symbol processing is described. Following a cellular automata based approach , the aim of the system is to transform initial symbolic descriptions of patterns to corresponding object level descriptions i...

Cellular Associative Symbolic Processing for Pattern Recognition

A cellular network of associative processors capable of symbolic processing is described in this paper. The processors are placed in a two dimensional array and they can perform a global set of symbolic rules deening their next state and the messages to be passed to their neighbours. The system follows a cellular automata like operation and the aim is to transform initial symbolic descriptions ...

A Cellular System for Pattern Recognition using Associative Neural Networks

A cellular system for pattern recognition is presented in this paper. The cells are placed in a two dimensional array and they are capable of performing basic symbolic processing and exchanging messages about their state. Following a cellular automata like operation the aim of the system is to transform an initial symbolic description of a pattern to a correspondent object level representation....

Distributed associative memories for high-speed symbolic reasoning

Cellular Associative Neural Networks (CANN)

We propose to present a novel syntactic pattern matching technique [1] that combines the correlative learning and generalisation properties of associative memories, with the parallel and distributed operation of cellular automata [2]. The tool is used for recognizing two dimensional objects in images. Each section of the object to be studied is represented by a cell, initially containing a low ...