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Innovative Product Design Based on General Theory of Powerful Think

2019· article· en· W4253714186 on OpenAlexaff
Kai Wang, Qingjin Peng, Runhua Tan, Mengyu Chen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsUniversity of Manitoba
FundersNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsComputer scienceProduct designProduct (mathematics)DesigntheoryHuman–computer interactionMathematics

Abstract

fetched live from OpenAlex

Innovation is a key for enterprises to be competitiveness in the market. The innovation lies mainly in the product design stage. Design is a process of transforming user needs into concrete structures. It is inefficient for designers to rely on experience in design on the basis of trial and error. It is an inevitable trend to systematize the theory of product innovation. Invention Problem Solving Theory or TRIZ in Russian is an innovative design theory. Based on analyzing a large number of high-level patents around the world, it was firmly believed that contradictions in product design are fundamental reasons leading to failure of the product to meet users’ needs. Therefore, in the process of product design and improvement, contradictions must be found and solved, rather than using compromise methods to ease contradictions. Classical TRIZ methods can help design of new products, but they can no longer meet needs of solving multi-contradiction problems in complex systems. In recent years, multi-contradictions have become one of the urgent problems in the field of product innovation. For this reason, some scholars proposed a general theory of powerful thinking, or OTSM in Russian.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.255
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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