The set of basic concepts for sequential data processing.
Practically all data processing machines are stil based on the following principles, proposed initially by J.von NEUMANN:
- a central processing unit
- a store of data that must be at the disposal of the central processing unit
- a set of instructions (or program) that can be applied to data in order to obtain certain predefined results, within the limits of the content of the program.
This is a purely algorithmic concept: The machine is enabled to do anything that is programmed, within the limits of the existing data, but cannot do anything else. In particular, it cannot learn anything.
The new connection machines, based on parallel distributed processing through small individual units, on the contrary, may learn by using rules.
- 1) General information
- 2) Methodology or model
- 3) Epistemology, ontology and semantics
- 4) Human sciences
- 5) Discipline oriented
To cite this page, please use the following information:
Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
We thank the following partners for making the open access of this volume possible: