Looking for Analogies in Structural Safety Management through Connectionist Associative Memories

of the paper: Marco Lazzari, Paolo Salvaneschi, Luisito Brembilla "Looking for analogies in structural safety management through connectionist associative memories" Proceedings of the IEEE International Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing (NICROSP '96) IEEE Computer Society, Los Alamitos, CA, 1996 Looking for Analogies in Structural Safety Management through Connectionist Associative Memories Marco Lazzari Paolo Salvaneschi Luisito Brembilla ISMES via Pastrengo, 9 24068 Seriate BG ITALY tel: +39 35 307 243/237 fax: +39 35 302 999 email: {mlazzari, psalvaneschi}@ismes.it Abstract This paper describes the first successful achievements of an experimental application of connectionist hashed associative memories for realising analogical reasoning. The application field is the management of structural safety, where analogical reasoning is used to retrieve, given the qualitative description of the state of a structure, the closest-matching cases stored in a case base, which can help safety managers to interpret the current situation. This work extends the use of Greene’s associative memories by proposing a complex data structure and a compositional algorithm able to access the case base through structured keywords.This paper describes the first successful achievements of an experimental application of connectionist hashed associative memories for realising analogical reasoning. The application field is the management of structural safety, where analogical reasoning is used to retrieve, given the qualitative description of the state of a structure, the closest-matching cases stored in a case base, which can help safety managers to interpret the current situation. This work extends the use of Greene’s associative memories by proposing a complex data structure and a compositional algorithm able to access the case base through structured keywords.