Description
This book constitutes the proceedings of the 25th IFIP WG 5.4 International TRIZ Future Conference on AI-Powered Innovation and Inventive Design, TFC 2025, held in Paris, France, during November 5 7, 2025.
The 48 full papers included in this book were carefully reviewed and selected from 75 submissions. They were focused on topical section as below.
Part I: Neuro-Symbolic and AI-Assisted Contradictions; Generative Agents for Ideation and Design; Tech Mining, Forecasting and Cross-Domain Exploration; Modeling, Verification and Optimization of Technical Systems and Frameworks for Digital Transformation and Industry 5.0.
Part II Cognition, Causality and Systematic Prototyping; Innovation Governance and Standardization; Innovation Governance and Standardization; Data, Forecasting and Intelligent Services and User Experience and Interoperable Public Policies.
.- Cognition, Causality and Systematic Prototyping.
.- Application of System Thinking and Thinking Through Contradiction for Information Quality Assessment.
.- Enhancing AI-Generated Solutions With Visual Retrieval-Augmented Generation (V-RAG): A Framework for Problem Formulation.
.- A New TRIZ-Based Approach for Resolving Contradictions in the Design of Lean 5.0 Manufacturing Systems.
.- AI-Driven Inventive Design and TRIZ for an Affordable, High-Efficiency Solar Tracking System.
.- AI-Driven Robot Programming Optimization Using TRIZ Principles for Efficient and Seamless Deployment.
.- Innovation Governance and Standardization.
.- AI-Aided Anticipatory Protection of Inventions Against Technical Non-Infringing Patent Circumvention.
.- Reinventing TRIZ Through Emergent Insight and the Power of Cognitive Negation.
.- AI-Augmented Discovery of Inventive Principles for Self-Contradictory Parameters in the TRIZ Matrix.
.- Can Storytelling Increase Engineers Motivation to Learn TRIZ Through Digital E-Learning?.
.- Sustainability, Energy and Territorial Resilience.
.- AI-Powered Patent Classification: A Hybrid Approach Merging Algorithms and LLMs.
.- A Symbolically-Guided Explorative AI Framework for Early-Stage Inventive Design.
.- Dynamic Swarm Intelligence and Generative AI for Integrated Inventive Design.
.- A Structured Decision-Making Framework for Evaluating TRIZ Solutions Using Multi-Criteria Analysis.
.- TRIZ Meets SPRINT: A Structured Approach to Sustainable Filtration Design With AI-Based Comparative Reflections.
.- Solving Complex Engineering Problems With AI-Assisted TRIZ: A Case Study in Reducing Water Consumption in a Urea Plant Cooling Tower.
.- Clean Fire, Green Future: Inventive Solutions for Waste-to-Energy Technology.
.- Bridging the Innovation Gap: Insights From an Electrostatic Dust Precipitator for Mongolia.
