This paper describes the connection memory, a machine for concurrently manipulating knowledge stored in semantic networks. We need the connection memory because conventional serial computers cannot move through such networks fast enough. The connection memory sidesteps the problem by providing processing power proportional to the size of the network. Each node and link in the network has its own simple processor. These connect to form a uniform locally-connected network of perhaps a million processor/memory cell
This paper first summarizes the implementation of several computation-intensive CAD algorithms on th...
Virtually all current Artificial Intelligence (AI) applications are designed to run on sequential (v...
Article dans revue scientifique avec comité de lecture.The distributed structure of artificial neura...
A semantic network is a collection of nodes and the links between them. The nodes represent concepts...
Submitted to the Department of Electrical Engineering and Computer Science on January 1, 1980 in par...
This paper describes a parallel associative pro-cessor, IXM2, developed mainly for semantic network ...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
This report describes a knowledge-base system in which the information is stored in a network of s...
This paper introduces a mechanism called CID. the Connection Information Distributor. CID extends co...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Connectionism is an approach currently being used in the field of cognitive science to investigate i...
Abstract: "A runnable simulation architecture for working memory is described that provides an alter...
In this report an introduction to the Connection Machine model-2 implementation and programming is g...
Knowledge processing is very demanding on com-puter architectures. Knowledge processing generates su...
This paper first summarizes the implementation of several computation-intensive CAD algorithms on th...
Virtually all current Artificial Intelligence (AI) applications are designed to run on sequential (v...
Article dans revue scientifique avec comité de lecture.The distributed structure of artificial neura...
A semantic network is a collection of nodes and the links between them. The nodes represent concepts...
Submitted to the Department of Electrical Engineering and Computer Science on January 1, 1980 in par...
This paper describes a parallel associative pro-cessor, IXM2, developed mainly for semantic network ...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
This report describes a knowledge-base system in which the information is stored in a network of s...
This paper introduces a mechanism called CID. the Connection Information Distributor. CID extends co...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Connectionism is an approach currently being used in the field of cognitive science to investigate i...
Abstract: "A runnable simulation architecture for working memory is described that provides an alter...
In this report an introduction to the Connection Machine model-2 implementation and programming is g...
Knowledge processing is very demanding on com-puter architectures. Knowledge processing generates su...
This paper first summarizes the implementation of several computation-intensive CAD algorithms on th...
Virtually all current Artificial Intelligence (AI) applications are designed to run on sequential (v...
Article dans revue scientifique avec comité de lecture.The distributed structure of artificial neura...