Publication
Exploring the Collective Categorization of Biological Information for Biomimetic Design
Abstract
Categorizing biological information can be subjective and ambiguous, which poses challenges for indexing potentially useful biological information for design. Therefore, we explored collective categorization to study the categorization task. After gathering 163 examples of biological transformation, we asked four participants to independently categorize the examples using self-selected approaches. A computational algorithm was used to quantify the relatedness between the groups that each participant created. The results confirmed that participants had different perspectives in interpreting and categorizing biological information. However, the collective categorization method could reveal meaningful semantics in biological information such as hierarchical, synonymous, or causal relations. The relations discovered could lead to developing formal representations or learning unique patterns in biological phenomena.
Download publicationRelated Resources
See what’s new.
2023
Multi-split configuration design for fluid-based thermal management systemsThis work introduces a framework for automated exploration of optimal…
2023
Conceptual Design Generation Using Large Language ModelsGenerating design concepts in product design using Large Language…
2005
When It Gets More Difficult, Use Both Hands – Exploring Bimanual Curve ManipulationIn this paper we investigate the relationship between bimanual…
2021
COVID-19 Facility Planning and Analysis: Designing a Multi-Agent Occupant Simulation SystemThe COVID-19 pandemic changed our lives, forcing us to reconsider our…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us