Difference between revisions of "DC I/O 2021"
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* [[From Intuition to Randomness: Combinatorics as Architectural Design Methodology in the Wave Function Collapse Algorithm]] | * [[From Intuition to Randomness: Combinatorics as Architectural Design Methodology in the Wave Function Collapse Algorithm]] | ||
* [[Enhancing a Built Asset’s Operations for Seismic Excitations: An Integration of Machine Learning & BIM]] | * [[Enhancing a Built Asset’s Operations for Seismic Excitations: An Integration of Machine Learning & BIM]] | ||
| + | * [[Exposing Genetic Algorithms: A Tool for Designers to Curate Bespoke Genetic Algorithms for Generative Design Methodologies]] | ||
==Session 2: Cognitions== | ==Session 2: Cognitions== | ||
Revision as of 11:01, 17 April 2022
Design Computation Input/Output Conference, or simply DC I/O, was established with the premise that computational design methods should benefit from the scientific method and whenever possible, be cross-referenced in the many disciplines of design to evolve and diversify the field.
The way DC I/O is organised aims to assist in the understanding of the physical and digital relationships of producing design. It focuses on the many channels to capture the data necessary to inform design, the processes – natural and/or digital – of articulating this data input to accomplishing design, and outcomes of these processes as artifacts and references of study in the domain of computational design.
Contents
Conference Keynotes
Proceedings
Session 1: Algorithms
Keynote
Proceedings
- From Intuition to Randomness: Combinatorics as Architectural Design Methodology in the Wave Function Collapse Algorithm
- Enhancing a Built Asset’s Operations for Seismic Excitations: An Integration of Machine Learning & BIM
- Exposing Genetic Algorithms: A Tool for Designers to Curate Bespoke Genetic Algorithms for Generative Design Methodologies
Session 2: Cognitions
Keynote
Proceedings
Session 3: Cultures
Keynote
Proceedings
Session 4: Applications
Keynote
Proceedings
Workshops
- An Introduction to Generative Components
- Decentralized Design Economies: 3D NFTs on HicEtNunc via Tezos
Reference
Full text in: Maciel, A. (Ed.), 2021. Design Computation Input/Output 2021, 1st ed. Design Computation, London, UK. ISBN: WIP, DOI:WIP
