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Causal Analysis of an Agent-Based Model of Human Behaviour
Joint Authors
Hluchy, Ladislav
Kvassay, Marcel
Krammer, Peter
Schneider, Bernhard
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-24
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
This article investigates causal relationships leading to emergence in an agent-based model of human behaviour.
A new method based on nonlinear structural causality is formulated and practically demonstrated.
The method is based on the concept of a causal partition of a model variable which quantifies the contribution of various factors to its numerical value.
Causal partitions make it possible to judge the relative importance of contributing factors over crucial early periods in which the emergent behaviour of a system begins to form.
They can also serve as the predictors of emergence.
The time-evolution of their predictive power and its distribution among their components hint at the deeper causes of emergence and the possibilities to control it.
American Psychological Association (APA)
Kvassay, Marcel& Krammer, Peter& Hluchy, Ladislav& Schneider, Bernhard. 2017. Causal Analysis of an Agent-Based Model of Human Behaviour. Complexity،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1143526
Modern Language Association (MLA)
Kvassay, Marcel…[et al.]. Causal Analysis of an Agent-Based Model of Human Behaviour. Complexity No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1143526
American Medical Association (AMA)
Kvassay, Marcel& Krammer, Peter& Hluchy, Ladislav& Schneider, Bernhard. Causal Analysis of an Agent-Based Model of Human Behaviour. Complexity. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1143526
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143526