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The “Agent-Based Modeling for Human Behavior” Special Issue

The “Agent-Based Modeling for Human Behavior” Special Issue The “Agent-Based Modeling for Soo Ling Lim* University College London Human Behavior” Special Issue Department of Computer Science s.lim@cs.ucl.ac.uk Peter J. Bentley University College London Department of Computer Science Autodesk Research p.bentley@cs.ucl.ac.uk We inhabit an obscure planet, in an obscure galaxy, around an obscure sun, but on the other hand, modern human society represents one of the most complex things we know. —David Christian Keyword Agent-based modeling If human societies are so complex, then how can we hope to understand them? Artificial Life gives us one answer. The field of Artificial Life comprises a diverse set of introspective studies that largely ask the same questions, albeit from many different perspectives: Why are we here? Who are we? Why do we behave as we do? Starting with the origins of life provides us with fascinating answers to some of these questions. However, some researchers choose to bring their studies closer to the present day. We are, after all, human. It has been a few billion years since our ancestors were self-replicating molecules. Thus more direct studies of ourselves and our human societies can reveal truths that may lead to practical knowledge. The articles in this special issue bring together scientists http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Life MIT Press

The “Agent-Based Modeling for Human Behavior” Special Issue

Lim, Soo Ling; Bentley, Peter J.
Artificial Life , Volume 29 (1): 2 – Jan 2, 2023
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Publisher
MIT Press
Copyright
© 2023 Massachusetts Institute of Technology
ISSN
1064-5462
eISSN
1530-9185
DOI
10.1162/artl_e_00394
Publisher site
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Abstract

The “Agent-Based Modeling for Soo Ling Lim* University College London Human Behavior” Special Issue Department of Computer Science s.lim@cs.ucl.ac.uk Peter J. Bentley University College London Department of Computer Science Autodesk Research p.bentley@cs.ucl.ac.uk We inhabit an obscure planet, in an obscure galaxy, around an obscure sun, but on the other hand, modern human society represents one of the most complex things we know. —David Christian Keyword Agent-based modeling If human societies are so complex, then how can we hope to understand them? Artificial Life gives us one answer. The field of Artificial Life comprises a diverse set of introspective studies that largely ask the same questions, albeit from many different perspectives: Why are we here? Who are we? Why do we behave as we do? Starting with the origins of life provides us with fascinating answers to some of these questions. However, some researchers choose to bring their studies closer to the present day. We are, after all, human. It has been a few billion years since our ancestors were self-replicating molecules. Thus more direct studies of ourselves and our human societies can reveal truths that may lead to practical knowledge. The articles in this special issue bring together scientists

Journal

Artificial Life – MIT Press

Published: Jan 2, 2023

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