World Conference of AI-Powered Innovation and TRIZ Methodology

This book constitutes the proceedings of the 26th IFIP WG 5.4 International TRIZ and Artificial Intelligence Conference, TRAI 2026, held in Hammamet, Tunisia, during October 2123, 2026.

The 56 full papers included in this book were carefully reviewed and selected from 81 submissions. They were focused on topical section as below.

Part I: TRIZ Foundations and Contradiction Analysis; AI, LLMs and Agentic Systems for Inventive Design.

Part II: Supply Chains, Logistics and Sustainability; Business, Manufacturing, Production and Engineering Applications; Business, Healthcare and Intelligent Applications.**
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Inhalt

.- Part 1. TRIZ Foundations and Contradiction Analysis
.- Supporting selection of key disadvantages in TRIZ cause-effect models by transforming Boolean expressions.
.- On Transferring Fault Tree Analysis features to TRIZ Cause-Effect Chains Analysis.
.- Validating the Universality of TRIZ: A Contemporary Analysis of Cross-Industry Problem Solving and Innovation Patterns.
.- Inventive Verification at Scale: A TRIZ/IDM Framework and Benchmark for Scientific ProblemSolution Pairing.
.- Quantum-Inspired Representations for Contradiction Management in TRIZ-Driven Inventive Design.
.- A Co-Evolutionary Framework for Functional-Frame Evolution through Structured Negation and Multi-Agent Selection (TRIZ-N).
.- Hybrid approach to inventive design integrating C-K, TRIZ and SCAMPER.
.- Contradictions' prioritization based on Parameters' Network, the ConNect Method.
.- Reframing TRIZ Tools as Cognitive Skills for AI-Assisted Inventive Problem Solving.
.- Problem Formulation Evaluation Ontology for Autonomous AI-Driven Engineering Invention.
.- TRIZ Through the Lens of Generative AI: New Directions for AI-native Approaches to Inventive Problem Solving.
.- Is it out-of-the-box? A geometric approach to measuring creative thinking in semantic space.
.- Integrating Sensemaking, TRIZ, and Feedback Mechanisms in Problem Solving under Deep Uncertainty: A Holistic Systematic Innovation Model (HSIM).
.- An Integration of TESE, Scenario Planning, and AFD for Evolutionary Failure Anticipation in Complex Systems.
.- Part 2. AI, LLMs and Agentic Systems for Inventive Design
.- Measuring Organizational Inventiveness at Scale: A TRIZ-Inspired, Data-Driven Framework.
.- Evaluating the Performance of a Socratic LLM Framework for Inventive Design Based on TRIZ Evolution Laws.
.- Towards Agentic Artificial Intelligence for Automating the Trend of Engineering System Evolution (TESE): A Conceptual Architecture.
.- Bridging the Gap Between AI Enthusiasm and Practical Reality: Evaluating Generative AI for TRIZ Consulting.
.- TRIZ Agent Orchestration Methods for Contradiction Solving.
.- Agentic AI for Sustainable Process Design: A Multi-Role Framework for Problem Analysis and Formulation.
.- Analogical Reasoning at Abstract Level of TRIZ Problem Solving - Analysis of Patents for Information Quality Improvement.
.- A TRIZ-Based Framework for Evaluating the Creativity of AI-Generated Solutions to Ill-Defined Engineering Problems.
.- LLM agent-based QFD-TRIZ integration for contradiction resolution through compliant mechanisms.
.- Modeling Patent Novelty with Transformer-Based Language Models: Cross-Text-Type Transfer from Scientific Articles to Patents.
.- Homo Mensura: Human-LLM Role Allocation in TRIZ-Based Design of Smart Waste-Sorting Systems.
.- The Architecture of AgenTRIZ, a Multi-Agent LLM Framework for TRIZ Automation.