mlsanityData to 14 Oct 2026

The Agent-based Modelling for Human Behaviour Special Issue

arXiv 2302.01789 ↗First posted 3 Feb 2023cs.AI cs.CYcited by 0

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Abstract (arXiv)

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 papers in this special issue bring together scientists who choose to perform this kind of research.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 14 references that are in the map. First posted on arXiv 3 Feb 2023.

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References · 1

  1. 2022Kill Chaos with Kindness: Agreeableness Improves Team Performance Under Uncertaintycited by 2

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