System behaviour and computing structure

Knowledge Based Systems, Artificial Perception And CAST
Part of the Lecture Notes in Computer Science book series (LNCS, volume 410)


The purpose of this work is of a methodological and conceptual nature. My aim is to comment some ideas about the relation between the double computational structure of a system (processors and processes) and the observable conduct as well as the amount of knowledge we need to inject to obtain a complete description of the system we are considering, whether it is natural or artificial (systhesis). The work is motivated from studies in neuronal computing and tries to be of a certain interest for cognoscitive sciences, artificial intelligence and general theory of systems. Eventually it is possible that it will be of interest in the practical aspects of artificial vision, perceptual robotics, and CAST.

In short, system behavior can only by directly related to details of computing structure (both hard and soft) at very low semantic levels. After this, to understand computing structure from system behaviour analysis we need to inject knowledge, assume it and proceed to check our hypothesis.


Striate Cortex Computing Structure Organizational Principle Finite State Automaton Proper Domain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • J. Mira
    • 1
  1. 1.Departamento de Informática y Automática Facultad de CienciasUniversidad Nacional De Education A DistanciaMadridSpain

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