Paper Info
Title
From memory to problem solving: mechanism reuse in a graphical cognitive architecture
Abstract
This article describes the extension of a memory architecture that is implemented via graphical models to include core aspects of problem solving. By extensive reuse of the general graphical mechanisms originally developed to support memory, this demonstrates how a theoretically elegant implementation level can enable increasingly broad architectures without compromising overall simplicity and uniformity. In the process, it bolsters the potential of such an approach for developing the more complete architectures that will ultimately be necessary to support autonomous general intelligence.
Year
DOI
Venue
2011
10.1007/978-3-642-22887-2_15
AGI
Keywords
Field
DocType
complete architecture,graphical cognitive architecture,broad architecture,mechanism reuse,overall simplicity,autonomous general intelligence,memory architecture,extensive reuse,general graphical mechanism,theoretically elegant implementation level,core aspect,graphical model
Computer science,Reuse,g factor,Artificial intelligence,Graphical model,Cognitive architecture,Memory architecture,Machine learning
Conference
Citations 
PageRank 
References 
7
0.62
5
Authors
1
Name
Order
Citations
PageRank
Paul S. Rosenbloom11416284.53