Enhancing the architecture of interactive evolutionary design for exploring heterogeneous particle swarm dynamics: An in-class experiment

Hiroki Sayama, Shelley Dionne, Craig Laramee, David Sloan Wilson

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

9 Citations (Scopus)

Abstract

We developed Swarm Chemistry 1.2, a new version of the Swarm Chemistry simulator with an enhanced architecture of interactive evolutionary design for exploring heterogeneous self-propelled particle swarm dynamics. In the new version, each evolutionary operator acts locally and visually to part of the population of swarms on a screen, without causing entire generation changes that were used in earlier versions. This new architecture is intended to represent cognitive actions in human thinking and decision making processes more naturally. We tested the effectiveness of the new architecture through an in-class experiment with college students participating as designers as well as evaluators of swarms. We also measured the effects of mixing and mutation operators to the performance improvement of the design processes. The students' responses showed that the designs produced using the new version received significantly higher ratings from students than those produced using the old one, and also that each of the mixing and mutation operators contributed nearly independently to the improvement of the design quality. These results demonstrate the effectiveness of the new architecture of interactive evolutionary design, as well as the importance of having diverse options of action (i.e., multiple evolutionary operators in this context) in iterative design and decision making processes. This work also presents one of the few examples of human-involved experiments on the statistical evaluation of artificial lifeforms, whose quality (such as "livingness") would be hard to assess without using human cognition at this point.

Original languageEnglish
Title of host publication2009 IEEE Symposium on Artificial Life, ALIFE 2009 - Proceedings
Pages85-91
Number of pages7
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE Symposium on Artificial Life, ALIFE 2009 - Nashville, TN, United States
Duration: 2009 Mar 302009 Apr 2

Other

Other2009 IEEE Symposium on Artificial Life, ALIFE 2009
CountryUnited States
CityNashville, TN
Period09/3/3009/4/2

Fingerprint

Students
Decision Making
Mutation
Experiments
Quality Improvement
Cognition
Decision making
Population
Simulators
Thinking

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition

Cite this

Sayama, H., Dionne, S., Laramee, C., & Wilson, D. S. (2009). Enhancing the architecture of interactive evolutionary design for exploring heterogeneous particle swarm dynamics: An in-class experiment. In 2009 IEEE Symposium on Artificial Life, ALIFE 2009 - Proceedings (pp. 85-91). [4937698] https://doi.org/10.1109/ALIFE.2009.4937698

Enhancing the architecture of interactive evolutionary design for exploring heterogeneous particle swarm dynamics : An in-class experiment. / Sayama, Hiroki; Dionne, Shelley; Laramee, Craig; Wilson, David Sloan.

2009 IEEE Symposium on Artificial Life, ALIFE 2009 - Proceedings. 2009. p. 85-91 4937698.

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

Sayama, H, Dionne, S, Laramee, C & Wilson, DS 2009, Enhancing the architecture of interactive evolutionary design for exploring heterogeneous particle swarm dynamics: An in-class experiment. in 2009 IEEE Symposium on Artificial Life, ALIFE 2009 - Proceedings., 4937698, pp. 85-91, 2009 IEEE Symposium on Artificial Life, ALIFE 2009, Nashville, TN, United States, 09/3/30. https://doi.org/10.1109/ALIFE.2009.4937698
Sayama H, Dionne S, Laramee C, Wilson DS. Enhancing the architecture of interactive evolutionary design for exploring heterogeneous particle swarm dynamics: An in-class experiment. In 2009 IEEE Symposium on Artificial Life, ALIFE 2009 - Proceedings. 2009. p. 85-91. 4937698 https://doi.org/10.1109/ALIFE.2009.4937698
Sayama, Hiroki ; Dionne, Shelley ; Laramee, Craig ; Wilson, David Sloan. / Enhancing the architecture of interactive evolutionary design for exploring heterogeneous particle swarm dynamics : An in-class experiment. 2009 IEEE Symposium on Artificial Life, ALIFE 2009 - Proceedings. 2009. pp. 85-91
@inproceedings{8d2f8ccf745d41bd95690e89cb4fa456,
title = "Enhancing the architecture of interactive evolutionary design for exploring heterogeneous particle swarm dynamics: An in-class experiment",
abstract = "We developed Swarm Chemistry 1.2, a new version of the Swarm Chemistry simulator with an enhanced architecture of interactive evolutionary design for exploring heterogeneous self-propelled particle swarm dynamics. In the new version, each evolutionary operator acts locally and visually to part of the population of swarms on a screen, without causing entire generation changes that were used in earlier versions. This new architecture is intended to represent cognitive actions in human thinking and decision making processes more naturally. We tested the effectiveness of the new architecture through an in-class experiment with college students participating as designers as well as evaluators of swarms. We also measured the effects of mixing and mutation operators to the performance improvement of the design processes. The students' responses showed that the designs produced using the new version received significantly higher ratings from students than those produced using the old one, and also that each of the mixing and mutation operators contributed nearly independently to the improvement of the design quality. These results demonstrate the effectiveness of the new architecture of interactive evolutionary design, as well as the importance of having diverse options of action (i.e., multiple evolutionary operators in this context) in iterative design and decision making processes. This work also presents one of the few examples of human-involved experiments on the statistical evaluation of artificial lifeforms, whose quality (such as {"}livingness{"}) would be hard to assess without using human cognition at this point.",
author = "Hiroki Sayama and Shelley Dionne and Craig Laramee and Wilson, {David Sloan}",
year = "2009",
doi = "10.1109/ALIFE.2009.4937698",
language = "English",
isbn = "9781424427635",
pages = "85--91",
booktitle = "2009 IEEE Symposium on Artificial Life, ALIFE 2009 - Proceedings",

}

TY - GEN

T1 - Enhancing the architecture of interactive evolutionary design for exploring heterogeneous particle swarm dynamics

T2 - An in-class experiment

AU - Sayama, Hiroki

AU - Dionne, Shelley

AU - Laramee, Craig

AU - Wilson, David Sloan

PY - 2009

Y1 - 2009

N2 - We developed Swarm Chemistry 1.2, a new version of the Swarm Chemistry simulator with an enhanced architecture of interactive evolutionary design for exploring heterogeneous self-propelled particle swarm dynamics. In the new version, each evolutionary operator acts locally and visually to part of the population of swarms on a screen, without causing entire generation changes that were used in earlier versions. This new architecture is intended to represent cognitive actions in human thinking and decision making processes more naturally. We tested the effectiveness of the new architecture through an in-class experiment with college students participating as designers as well as evaluators of swarms. We also measured the effects of mixing and mutation operators to the performance improvement of the design processes. The students' responses showed that the designs produced using the new version received significantly higher ratings from students than those produced using the old one, and also that each of the mixing and mutation operators contributed nearly independently to the improvement of the design quality. These results demonstrate the effectiveness of the new architecture of interactive evolutionary design, as well as the importance of having diverse options of action (i.e., multiple evolutionary operators in this context) in iterative design and decision making processes. This work also presents one of the few examples of human-involved experiments on the statistical evaluation of artificial lifeforms, whose quality (such as "livingness") would be hard to assess without using human cognition at this point.

AB - We developed Swarm Chemistry 1.2, a new version of the Swarm Chemistry simulator with an enhanced architecture of interactive evolutionary design for exploring heterogeneous self-propelled particle swarm dynamics. In the new version, each evolutionary operator acts locally and visually to part of the population of swarms on a screen, without causing entire generation changes that were used in earlier versions. This new architecture is intended to represent cognitive actions in human thinking and decision making processes more naturally. We tested the effectiveness of the new architecture through an in-class experiment with college students participating as designers as well as evaluators of swarms. We also measured the effects of mixing and mutation operators to the performance improvement of the design processes. The students' responses showed that the designs produced using the new version received significantly higher ratings from students than those produced using the old one, and also that each of the mixing and mutation operators contributed nearly independently to the improvement of the design quality. These results demonstrate the effectiveness of the new architecture of interactive evolutionary design, as well as the importance of having diverse options of action (i.e., multiple evolutionary operators in this context) in iterative design and decision making processes. This work also presents one of the few examples of human-involved experiments on the statistical evaluation of artificial lifeforms, whose quality (such as "livingness") would be hard to assess without using human cognition at this point.

UR - http://www.scopus.com/inward/record.url?scp=67650468231&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67650468231&partnerID=8YFLogxK

U2 - 10.1109/ALIFE.2009.4937698

DO - 10.1109/ALIFE.2009.4937698

M3 - Conference contribution

AN - SCOPUS:67650468231

SN - 9781424427635

SP - 85

EP - 91

BT - 2009 IEEE Symposium on Artificial Life, ALIFE 2009 - Proceedings

ER -