Cognitive Agent-Based Life Process Modelling to Predict Social Performance in Workplace Design

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DC I/O 2020 poster by PATRIK SCHUMACHER, TYSON HOSMER, ZIMING HE, SOUNGMIN YU, SOBITHA RAVICHANDRAN


Abstract

Keywords

Agent-Based Modelling, Artificial Intelligence, Data-Driven Design, Simulation, [[Behaviour], Computational Design, Generative Design, Parametric Design, Machine Learning, Life Process Modelling.

Keyphrases

thirst social wc motivation (100), internal state (60), public destination (60), home destination (50), interaction type (50), action utility factor (47), space occupied time (47), m max occupant (47), decision making (40), social performance (40), meeting table (40)

Topics

Reference

DOI: https://doi.org/10.47330/DCIO.2020.EIYA3557

Full text: Maciel, A. (Ed.), 2020. Design Computation Input/Output 2020, 1st ed. Design Computation, London, UK. ISBN: 978-1-83812-940-8, DOI:10.47330/DCIO.2020.QPRF9890