<title>Learning-based system for real-time imaging</title>

Abstract

We are now developing a brain computer with algorithm acquisition function, where a two-level structure is introduced to connect pattern with (meta-)symbol, because we know how to realize algorithm acquisition on symbols. At Level 1 we use a conventional learning method on neural networks, but, at Level 2, we develop a new learning algorithm AST (Abstract State Transition algorithm), where an automaton-like algorithm with a neural network learning is introduced. This is enough powerful to realize an automatic algorithm acquisition. We will state a two-level structure and the AST learning algorithm. We focus on real-time image understanding which is a realization of human brain with eyes. We will summarize the features of our developing artificial brain system as follows; I ) System for Meta-Symbol as well as Pattern. 2) Architecture with Algorithm Acquisition Function. 3) Cognitive Memory Model as well as Biological Memory Model. To realize an artificial memory model to satisfy the features of )-3), we introduce a two-level architecture, where the Meta-Symbol is introduced at Level 2 while the Pattern is used for Level 1 as usual.