[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3205651.3205723acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
poster

Collaborative interactive evolution in minecraft

Published: 06 July 2018 Publication History

Abstract

Interactive Evolution (ie) has shown promise in domains where objective-driven approaches are problematic. Collaborating by branching from the evolutionary stepping stones discovered by others (cie) has allowed users to evolve a large variety of artefacts. In this paper we explore the potential of collaboratively evolving behaviours in Minecraft through an online cie system. Results suggest that it is indeed possible to solve a maze navigation task in Minecraft collaboratively, which is difficult to achieve individually. We hope that the released framework will allow others to build more complex domains, solving a series of more and more challenging tasks through many collaborating humans.

References

[1]
Takagi, H.: Interactive evolutionary computation: Fusion of the capacities of ec optimization and human evaluation. Volume 89. (2001) 1275--1296
[2]
Todd, S., Latham, W.: Evolutionary art and computers academic press (1992)
[3]
Risi, S., Lehman, J., D'Ambrosio, D.B., Hall, R., Stanley, K.O.: Petalz: Search-based procedural content generation for the casual gamer. IEEE Transactions on Computational Intelligence and AI in Games 8(3) (Sept 2016) 244--255
[4]
Hoover, A.K., Szerlip, P.A., Stanley, K.O.: Interactively evolving harmonies through functional scaffolding. In: Proceedings of the 13th annual conference on Genetic and evolutionary computation, ACM (2011) 387--394
[5]
Woolley, B.G., Stanley, K.O.: A novel human-computer collaboration: Combining novelty search with interactive evolution. In: Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation. GECCO '14, New York, NY, USA, ACM (2014) 233--240
[6]
Löwe, M., Risi, S.: Accelerating the evolution of cognitive behaviors through human-computer collaboration. In: Proc. of the Genetic and Evolutionary Computation Conference 2016. GECCO '16, New York, NY, USA, ACM (2016) 133--140
[7]
González de Prado Salas, P., Risi, S.: Interactive evolution of complex behaviours through skill encapsulation. In: European Conference on the Applications of Evolutionary Computation, Springer (2017) 853--869
[8]
Bongard, J.C., Hornby, G.S.: Combining Fitness-based Search and User Modeling in Evolutionary Robotics. Proceeding of the 15th Annual conference on Genetic and Evolutionary Computation Conference - GECCO '13 (2013) 159--166
[9]
Kamalian, R., Zhang, Y., Takagi, H., Agogino, A.: Reduced human fatigue interactive evolutionary computation for micromachine design. In: Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on. Volume 9. (08 2005) 5666--5671 Vol. 9
[10]
Secretan, J., Beato, N., D'Ambrosio, D.B., Rodriguez, A., Campbell, A., Folsom-Kovarik, J.T., Stanley, K.O.: Picbreeder: A case study in collaborative evolutionary exploration of design space. Evol. Comput. 19(3) (September 2011) 373--403
[11]
Hofmann, K., Hutton, T., Bigneil, D., Johnson, M.: The Malmo platform for artificial intelligence experimentation. In: 25th International Joint Conference on Artificial Intelligence (IJCAI-16), AAAI - Association for the Advancement of Artificial Intelligence (July 2016)
[12]
Lehman, J., Stanley, K.O.: Exploiting open-endedness to solve problems through the search for novelty. In: Proceedings of the Eleventh International Conference on Artificial Life (Alife XI, MIT Press (2008)

Cited By

View all
  • (2021)EvoCraft: A New Challenge for Open-EndednessApplications of Evolutionary Computation10.1007/978-3-030-72699-7_21(325-340)Online publication date: 1-Apr-2021

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion
July 2018
1968 pages
ISBN:9781450357647
DOI:10.1145/3205651
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 July 2018

Check for updates

Author Tags

  1. collaborative IEC
  2. evolutionary computation
  3. interactive evolutionary computation
  4. neuroevolution

Qualifiers

  • Poster

Funding Sources

  • Fundacion Ramon Areces

Conference

GECCO '18
Sponsor:

Acceptance Rates

Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)10
  • Downloads (Last 6 weeks)0
Reflects downloads up to 04 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2021)EvoCraft: A New Challenge for Open-EndednessApplications of Evolutionary Computation10.1007/978-3-030-72699-7_21(325-340)Online publication date: 1-Apr-2021

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media