An Interactive Artificial Intelligence System for Inventive Problem-Solving - Systematic Innovation Partnerships with Artificial Intelligence and Information Technology Access content directly
Conference Papers Year : 2022

An Interactive Artificial Intelligence System for Inventive Problem-Solving

Stelian Brad
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Emil Ștetco
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Abstract

There is a vast space of potentiality for inspiration in the design and engineering of technical systems that are poorly valorized; the cyberspace that stores and daily adds high volumes of global collective intelligence. This space could be more productively tackled with the assistance of Artificial Intelligence algorithms led by Natural Language Processing (NLP) models. We investigate the application of Structured Activation Vertex Entropy (SAVE) method in combination with Question Answering Machine (QAM) algorithms to explore information that is stored in big datasets, accessible within unstructured dataspaces. The SAVE method is transformed with the assistance of TRIZ into a set of searching meta-terms or meta-concepts. Taking off from a clear description of the problem, target results, and the current (eco)system, meta-terms, and concepts are incorporated into a spiral searching-answering process called ‘D-SIT-SIT-C’, driven by a Retrieval Augmented Generation (RAG) model to create an “intelligent” Natural Language Processing pipeline, with inserting the human in the loop at each iteration. We have found that the proposed pipeline based on a RAG model brings new valences to the creative thinking process and unleashes new dimensions of investigations that lead to higher quality solutions than those formulated with limited resources.
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hal-04449783 , version 1 (15-02-2024)

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Stelian Brad, Emil Ștetco. An Interactive Artificial Intelligence System for Inventive Problem-Solving. 22th International TRIZ Future Conference (TFC), Sep 2022, Warsaw, Poland. pp.165-177, ⟨10.1007/978-3-031-17288-5_15⟩. ⟨hal-04449783⟩
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