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  • Creating artificial societies through interaction analysis: Translating qualitative observational study into agent-based modelling

Zileli, Selin, Wu, Jiayu ORCID: https://orcid.org/0000-0003-3545-0047, Diels, Cyriel and Boyd Davis, Stephen, 2021, Conference or Workshop, Creating artificial societies through interaction analysis: Translating qualitative observational study into agent-based modelling at ALIFE 2021: The 2021 Conference on Artificial Life, Online, 19-23 Jul 2021.

Abstract or Description:

The use of interaction analysis for creating agent-based models could lead to more empirical simulations. This study focuses on pedestrian-street interaction during negotiations at a signal-controlled crossing. It examines which data from interaction analysis could be used in the development of artificial pedestrian societies. This article sets out a framework for structuring the data deriving from interaction analysis and demonstrates the process of developing an agent-based model by translating the acquired data into the model. The data collected through interaction analysis serves as input for the agent-based model. The structuring performed on the interaction analysis data is used to define the outcome variables for agent-based modelling. The study concludes by proposing an initial framework that describes the use of interaction analysis in simulations.

Official URL: https://direct.mit.edu/isal/proceedings/isal/33/19...
Subjects: Creative Arts and Design > W900 Others in Creative Arts and Design
School or Centre: Research Centres > Intelligent Mobility Design Centre
Identification Number or DOI: https://doi.org/10.1162/isal_a_00446
Uncontrolled Keywords: Interaction Analysis, Artificial Societies, Agent-Based Modelling, Pedestrians
Date Deposited: 20 Jul 2021 16:04
Last Modified: 20 Jul 2021 16:04
URI: https://researchonline.rca.ac.uk/id/eprint/4842
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