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Innovation, Knowledge Representation and Transformation and Classical Mathematical Thinking

This speech by Prof. Dr. Bernd Wegner discusses the importance of knowledge theory in innovation and the application of classical mathematical thinking in interpreting and constructing claims for inventions.

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Innovation, Knowledge Representation and Transformation and Classical Mathematical Thinking

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  1. Innovation,Knowledge Representation and Transformation and Classical Mathematical Thinking Speech at Ionian Unversity, November, 2016 Prof. Dr. Bernd Wegner TU Berlin / TELES PRI GmbH

  2. Innovation • IES – an Innovation Expert System. • Here innovation is claimed in the form of patent applications – CTCIs and ETCIs. • According to recent decisions made by the US Supreme Court and in some sense also by corresponding European institutions the basis for granting a patent should be inventive concepts. • Inventive concepts include the basic “creative thoughts” , which the inventor had in mind. Hence knowledge theory should be a basic field for the analyzer of a CI.

  3. Classical Mathematical Thinking • So far methods of knowledge theory had not been applied by analyzers for the claim interpretations and the claim constructions of CIs. • For ETCIs it turned out to be impossible to find a rational solution without a sound basis in knowledge theory. • The work on the IES relies on some basic ideas being fruitful for this purpose going back to the Greek philosophers and mathematicians, also including more recent developments.

  4. Levels of knowledge representations • O-level: This is based on the text of the specification of the CI and provides MUIs for the next 2 levels • A-level: This includes the elements of the CI disclosed by the specification, each one combined with a still aggregated concept. • E-level: This provides the elementary concepts obtained from the A-level by disaggregation which cannot be split up anymore in a reasonable way. • These levels are related with each other by a knowledge representation transformation. .

  5. Disaggregation of SPL • The sections 101, 102, 103 and 112 and relevant precedence are interpreted in terms of 9 concerns. • These are considered as elementary in the sense that there is no further reasonable disaggregation. • The corresponding 9 single tests of the FSTP-Test represent a system of axioms suitable for deciding on the patent eligibility and the patentability of a CI. .

  6. Further management • Elementary concepts appear in combination with mirror predicates, being the truth sets of these predicates. The domains for these truth sets are provided by the ontologies behind the space modeling the concept. • The so far developed creative parts of elementary concepts are supplemented by justifications verifying that they are in accordance with SPL . • Here pertinent skill and prior art have to be taken into account. • To deal with potential violations a refined version of the scope of a CI is developed as ERTs being elements of the product of the truth sets representing embodiments of the CI. .

  7. The End Thank you for your attention

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