Distributed and fault-tolerant computation for retrieval tasks using distributed associative memories

The distributed associative memory (DAM) model is proposed for distributed and fault-tolerant computation related to retrieval tasks. The fault tolerance is with respect to noise in the input key data and/or local and global failures in the memory itself. Working models for fault-tolerant image reconfiguration and database information retrieval have been developed and backed up by experimental results that show the feasibility of such an approach.<
>