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Modeling the Evolution of Coordinated Movement Strategies Using Digital Organisms

  • Zaki Ahmad KhanEmail author
  • Faraz Hasan
  • Gabriel Yedid
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 955)

Abstract

Intelligence is a fundamental characteristic of living beings. Even the simplest organisms exhibit intelligent behaviors in their routine actions. There are various levels of problems in computational science where evolutionary computation shows great potential for finding optimal or near-optimal solutions to problems that defy traditional analytical approaches. In line with this, an advanced problem associated with the evolution of movement in biological communities is examined here. We used the Avida digital life platform to explore the evolution of movements in model environments with a fixed landmark. Three prevailing movement strategies that emerged, Cockroach, Ziggurat, and Climber, show how both environmental constraints and movement coordination play a role in the emergence of intelligent behavior.

Keywords

Avida Digital organism Beacon Habitat Coordinated stasis 

Notes

Acknowledgments

This work was supported by a grant from the National Natural Science Foundation of China (project # 31470435) to Gabriel Yedid. The authors wish to thank Dr. Laura Grabowski (University of Texas-Rio Grande Valley, Edinburg, TX, USA) for introduction to the vision model used in this work, and Dr. Matthew Rupp and Dr. Wesley Elsberry (Michigan State University, MI, USA) for useful discussion and assistance with experimental design and implementation.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Zoology, College of Life ScienceNanjing Agricultural UniversityNanjingChina
  2. 2.Department of Computer ScienceAligarh Muslim UniversityAligarhIndia

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