TY - GEN
T1 - Archetypical Patterns in Agent-Based Models
AU - Hofstede, Gert Jan
AU - Chappin, Emile
N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
PY - 2021
Y1 - 2021
N2 - Complex systems produce recognizable self-organized patterns across time. This conceptual paper consists of a systematic reflection on what kinds of archetypical patterns systems can show, and in what kinds of cases these patterns could occur. Agent-based models are used to exemplify each pattern. We present a classification of the breadth of typical patterns that agent-based models can show when one runs them. The patterns fall into three categories: resource use, contagion, and output patterns. These are pattern archetypes; most real-world systems, and also most models, could and will show combinations of the patterns. In real systems, the patterns will occur as phases and building blocks of developments. These are patterns frequently occurring in real-world systems. The classification is the first of its kind. It provides a way of thinking and a language to non-mathematicians. This classification should be beneficial to those researchers who are familiar with a real-world pattern in their discipline of interest, and try to get a grasp of pattern causation. It can also serve in education, for giving students from a variety of disciplines an idea of the possibilities of agent-based models.
AB - Complex systems produce recognizable self-organized patterns across time. This conceptual paper consists of a systematic reflection on what kinds of archetypical patterns systems can show, and in what kinds of cases these patterns could occur. Agent-based models are used to exemplify each pattern. We present a classification of the breadth of typical patterns that agent-based models can show when one runs them. The patterns fall into three categories: resource use, contagion, and output patterns. These are pattern archetypes; most real-world systems, and also most models, could and will show combinations of the patterns. In real systems, the patterns will occur as phases and building blocks of developments. These are patterns frequently occurring in real-world systems. The classification is the first of its kind. It provides a way of thinking and a language to non-mathematicians. This classification should be beneficial to those researchers who are familiar with a real-world pattern in their discipline of interest, and try to get a grasp of pattern causation. It can also serve in education, for giving students from a variety of disciplines an idea of the possibilities of agent-based models.
KW - Agent-based model
KW - Fixes that fail
KW - Pattern
KW - Power law
KW - Tipping point
KW - Tragedy of the commons
UR - http://www.scopus.com/inward/record.url?scp=85106418448&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-61503-1_31
DO - 10.1007/978-3-030-61503-1_31
M3 - Conference contribution
AN - SCOPUS:85106418448
SN - 9783030615024
T3 - Springer Proceedings in Complexity
SP - 313
EP - 332
BT - Advances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019
A2 - Ahrweiler, Petra
A2 - Neumann, Martin
PB - Springer
T2 - 15th Social Simulation Conference, SSC 2019
Y2 - 23 September 2019 through 27 September 2019
ER -