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Peter RN Childs
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I-Card: A Generative AI-Supported Intelligent Design Method Card Deck
AskNatureGPT: An LLM-driven Concept Generation Method Based On Bio-Inspired Design Knowledge
How Generative AI Supports Human in Conceptual Design
TRIZ-GPT: An LLM-Augmented Method For Problem-Solving
An artificial intelligence approach for interpreting creative combinational designs
Toward Controllable Generative Design: A Conceptual Design Generation Approach Leveraging the Function–Behavior–Structure Ontology and Large Language Models
An Llm-based Concept Generation Method for Solution-driven Bio-inspired Design
A foundation model enhanced approach for generative design in combinational creativity
AskNatureNet: A divergent thinking tool based on bio-inspired design knowledge
BIDTrainer: An LLMs-driven Education Tool for Enhancing the Understanding and Reasoning in Bio-inspired Design
Development of an exploratory creativity assessment scale
A knowledge graph-based bio-inspired design approach for knowledge retrieval and reasoning
Human-in-the-Loop Design with Machine Learning
An artificial intelligence based data-driven approach for design ideation
A computational tool for creative idea generation based on analogical reasoning and ontology
A computational approach for combinational creativity in design
The conceptual distances between ideas in combinational creativity
The Combinator – a computer-based tool for creative idea generation based on a simulation approach
New directions in computational, combinational and structural creativity
Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven
A Network-Based Computational Model for Creative Knowledge Discovery Bridging Human-Computer Interaction and Data Mining
Implicit Knowledge Discovery in Design Semantic Network by Applying Pythagorean Means on Shortest Path Searching
The Analogy Retriever – an idea generation tool
Three driven approaches to combinational creativity
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