Developing Multi-agent-based Thought Experiments: A Case Study on the Evolution of Gamete Dimorphism

Umit Aslan*, Sugat Dabholkar, Uri Wilensky

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multi-agent modeling is a computational approach to model behavior of complex systems in terms of simple micro level agent rules that result in macro level patterns and regularities. It has been argued that complex systems approaches provide distinct advantages over traditional equation-based mathematical modeling approaches in the process of scientific inquiry. We present a case study on how multi-agent modeling can be used to develop thought experiments in order to push theory forward. We develop a model of the evolution of gamete dimorphism (anisogamy), for which there are several competing theories in the evolutionary biology literature. We share the outcomes of our model and discuss how the model findings compare with, and contribute to previous work in the literature. The model clarifies mechanisms that can result in the evolution of anisogamy and offers a much simpler structure that is easier to understand, test, modify and extend.

Original languageEnglish (US)
Title of host publicationAutonomous Agents and Multiagent Systems - AAMAS 2017 Workshops, Revised Selected Papers
EditorsJuan A. Rodriguez-Aguilar, Gita Sukthankar
PublisherSpringer Verlag
Pages51-65
Number of pages15
ISBN (Print)9783319716817
DOIs
StatePublished - 2017
Event16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017 - Sao Paulo, Brazil
Duration: May 8 2017May 12 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10642 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017
CountryBrazil
CitySao Paulo
Period5/8/175/12/17

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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