Technology / Framework for INventive DEsign Research
Finder
Build the problem graph of a situation together, and see its contradictions.
Designed to run the TRIZBench engine, from the thesis of Nathan Witkowicz, conducted with funding from ArcelorMittal
- Problem addressed
- Teams facing a complex problem lose track of what they know, what blocks them and which ideas address which difficulty.
- Scientific contribution
- The flagship of the Chair, built on the CSIP team’s research in inventive design: collaborative problem graphs, contradictions, organisation of ideas. Finder is designed to run TRIZBench’s graph-building engine, and goes further: it manages contradictions and generates concepts with FusionMind and ARIZ-Copilot.
- Main features
- Collective, real-time construction of problem graphs
- Contradiction management: identification and ranking
- Concept generation with FusionMind and ARIZ-Copilot
- Designed to run TRIZBench’s graph-building engine (patents and articles → graph)
- Projects from one hour to a full semester
Related
Publications5
- Quantifying Interdisciplinarity in Scientific Articles Using Deep Learning Toward a TRIZ-Based Framework for Cross-Disciplinary Innovation2025 · Machine Learning and Knowledge Extraction
- A Novel Interdisciplinarity Model Towards Inter-domain Information Pairing2024 · 24th International TRIZ Future Conference (TFC)
- SynCRF: Syntax-Based Conditional Random Field for TRIZ Parameter Minings2024 · 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, 24-26 February, 2024
- An Analytical Model for Sustainable Product Ideation Based on Main Parameter Values and Social Network Data2024 · 24th International TRIZ Future Conference (TFC)
- Problem formulation in inventive design using Doc2vec and Cosine Similarity as Artificial Intelligence methods and Scientific Papers2022 · Engineering Applications of Artificial Intelligence