KNOWLEDGE (Taxonomy of the ways of generation, representation and processing of) 2)
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T. ÖREN did elaborate a general taxonomy of knowledge representation and processing (1990, p.1-55).
His general focus is on informatics and computer processing and his vocabulary is, accordingly, more or less specialized. This terminology should be carefully evaluated in comparison with its commonly accepted meanings.
Moreover his concept of knowledge is very close to the concept of information and quite close to the meaning given to the word "knowledge" in expert systems. This is practically in frontal contradiction with H.von FOERSTER's view: Knowledge is not a commodity.
However, it is also interesting to ponder ÖREN's ideas from various different viewpoints, as for example:
- Similarities and differences between natural and artificial intelligence;
- Brain organization and neuro-chemistry;
- Artificial and natural neural nets and connection machines;
- Learning processes;
Here is a list of ÖREN's taxonomic tables, reproduced, in logical order:
Taxonomy of:
- factual knowledge
- knowledge generation
- knowledge acquisition
- knowledge location
- knowledge analysis
- knowledge selection
- knowledge evaluation
- knowledge organization
- knowledge transformation
- knowledge generation by experimental techniques
- knowledge generation by nonexperimental techniques
- knowledge dissemination
- Program (rules for input and output of knowledge in a computer)
- Knowledge (A pragmatic and operative view)
- Transducer
- Machine-learning system (Elements and basic functions of)
Categories
- 1) General information
- 2) Methodology or model
- 3) Epistemology, ontology and semantics
- 4) Human sciences
- 5) Discipline oriented
Publisher
Bertalanffy Center for the Study of Systems Science(2020).
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]
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