Visualising Agent-Based Canoe Journeys in a Real-time Computation Virtual Environment

Publisher:
School of Creative Media, City University of Hong Kong 81 Tat Chee Avenue, Kowloon Tong, Hong Kong
Publication Type:
Conference Proceeding
Citation:
Art Machines 2: International Symposium on Machine Learning and Art 2021 Proceedings, 2021, pp. 117-118
Issue Date:
2021
Full metadata record
This paper explores the use of agent-based machine learning models combined with speculative and critical design methods to investigate potential entanglements between canoes and sea-birds in an imagined Pacific.
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