Skip to main content
SpringerLink
Log in

Generative Art Inspired by Nature, Using NodeBox

  • Conference paper
Applications of Evolutionary Computation (EvoApplications 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6625))

Included in the following conference series:

Abstract

NodeBox is a free application for producing generative art. This paper gives an overview of the nature-inspired functionality in NodeBox and the artworks we created using it. We demonstrate how it can be used for evolutionary computation in the context of computer games and art, and discuss some of our recent research with the aim to simulate (artistic) brainstorming using language processing techniques and semantic networks.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Blackwell, T.M., Bentley, P.: Improvised music with swarms. In: Proceedings of the Evolutionary Computation on 2002. CEC 2002. Proceedings of the 2002 Congress, vol. 02, pp. 1462–1467 (2002)

    Google Scholar 

  2. Boden, M.: What is generative art? Digital Creativity 20, 21–46 (2009)

    Article  Google Scholar 

  3. Brandes, U.: A Faster Algorithm for Betweenness Centrality. Journal of Mathematical Sociology (2001)

    Google Scholar 

  4. Chalmers, D.J., French, R.M., Hofstadter, D.R.: High-Level Perception, Representation, and Analogy: A Critique of Artificial Intelligence Methodology. Journal of Experimental & Theoretical Artificial Intelligence (1991)

    Google Scholar 

  5. Cleveland, P.: Bound to technology - the telltale signs in print. Design Studies 25(2), 113–153 (2004)

    Article  Google Scholar 

  6. Collins, A.M., Loftus, E.F.: A Spreading-Activation Theory of Semantic Processing. Psychological Review 82(6), 407–428 (1975)

    Article  Google Scholar 

  7. Daelemans, W., Zavrel, J., van der Sloot, K., van den Bosch, A. (2004). Timbl: Tilburg memory-based learner. In: Tech. Report ILK 04-02, Tilburg University (December 2004)

    Google Scholar 

  8. Daelemans, W., van den Bosch, A.: Memory-based language processing. In: Studies in Natural Language Processing, Cambridge University Press, Cambridge (2005)

    Google Scholar 

  9. Dijkstra, E.W.: A note on two problems in connexion with graphs. Numerische Mathematik 1, 269–271 (1959)

    Article  MathSciNet  MATH  Google Scholar 

  10. Gielis, J.: A generic geometric transformation that unifies a wide range of natural and abstract shapes. American Journal of Botany 90, 333–338 (2003)

    Article  Google Scholar 

  11. Goldstein, J.: Emergence as a Construct: History and Issues. Emergence: Complexity and Organization 1, 49–72 (1999)

    Article  Google Scholar 

  12. Hu, J., Goodman, E.: The hierarchical fair competition (HFC) model for parallel evolutionary algorithms. In: Proceedings of the Congress on Evolutionary Computation, pp. 49–54 (2002)

    Google Scholar 

  13. Kauffman, S.A.: The origins of order: self-organization and selection in evolution. Oxford University Press, Oxford (1993)

    Google Scholar 

  14. McCormack, J., Dorin, A.: Art, Emergence and the Computational Sublime. In: A Conference on Generative Systems in the Electronic Arts, CEMA, Melbourne, Australia, pp. 67–81 (2001)

    Google Scholar 

  15. Mednick, S.: The Associative Basis of the Creative Process. Psychological Review 69, 220–232 (1962)

    Article  Google Scholar 

  16. Olivero, G.: Spamghetto. In: Data Flow 2, Visualizing Information in Graphic Design, p. 165. Gestalten, Berlin (2010)

    Google Scholar 

  17. Perlin, K.: Improving noise. In: Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH 2002), pp. 681–682 (2002)

    Google Scholar 

  18. Prusinkiewicz, P., Lindenmayer, A.: The Algorithmic Beauty of Plants. Springer, Heidelberg (1990)

    Book  MATH  Google Scholar 

  19. Reas, C., Fry, B.: Processing: a programming handbook for visual designers and artists. MIT Press, Cambridge (2007)

    Google Scholar 

  20. Reynolds, C.W.: Flocks, Herds, and Schools: A Distributed Behavioral Model. Computer Graphics 21(4) (1987)

    Google Scholar 

  21. Schank, R.C., Abelson, R.P.: Scripts, plans, goals, and understanding: an inquiry into human knowledge structures. Lawrence Erlbaum Associates, Mahwah (1977)

    MATH  Google Scholar 

  22. Sowa, J.F.: Semantic Networks. In: Shapiro, S.C. (ed.) Encyclopedia of Artificial Intelligence. Wiley, New York (1987); revised and extended for the second edition (1992)

    Google Scholar 

  23. Winograd, T.: Understanding Natural Language. Academic Press, London (1972)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computational Linguistics & Psycholinguistics Research Group, University of Antwerpen, Belgium

    Tom De Smedt & Walter Daelemans

  2. Experimental Media Group, Sint Lucas, Antwerpen, Belgium

    Tom De Smedt & Ludivine Lechat

Authors
  1. Tom De Smedt
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ludivine Lechat
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Walter Daelemans
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mathematics and Statistics, University of Strathclyde, 16 Richmond Street, G1 1XQ, Glasgow, UK

    Cecilia Di Chio

  2. School of Business, University College Dublin, 4, Belfield, Dublin, UK

    Anthony Brabazon

  3. Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Galleria 2, 6928, Manno-Lugano, Switzerland

    Gianni A. Di Caro

  4. Institute of Computer Science, University of Bremen, 28359, Bremen, Germany

    Rolf Drechsler

  5. Next Generation Intelligent Networks Research Center (nexGIN RC), National University of Computer & Emerging Sciences (FAST-NU), Islamabad, Pakistan

    Muddassar Farooq

  6. Department of Information Systems, Johannes Gutenberg-Universität, 55099, Mainz, Germany

    Jörn Grahl

  7. Mathematics and Computer Science Depatment, University of Richmond, 23173, Richmond, VA, USA

    Gary Greenfield

  8. ICD - OSI, University of Technology of Troyes, 12, Rue Marie Curie, BP 2060, 10010, Troyes, France

    Christian Prins

  9. Facultad de Informatica, Universidade de A Coruña, 15071, Coruña, CP, Spain

    Juan Romero

  10. Dipartimento di Automatica e Informatica, Politecnico di Torino, Italy

    Giovanni Squillero

  11. Consiglio Nazionale delle Ricerche (CNR), Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR), Via P. Castellino 111, 80131, Naples, Italy

    Ernesto Tarantino

  12. Dipartimento di Tecnologie dell’Informazione, Università degli Studi di Milano, Via Bramante 65, 26013, Crema (CR), Italy

    Andrea G. B. Tettamanzi

  13. School of Computing, Edinburgh Napier University, 10 Clinton Road, EH10 5DT, Edinburgh, UK

    Neil Urquhart

  14. Computer Engineering Department, Istanbul Technical University, Room Nr. 3302, Maslak, 34469, Istanbul, Turkey

    A. Åžima Uyar

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

De Smedt, T., Lechat, L., Daelemans, W. (2011). Generative Art Inspired by Nature, Using NodeBox. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2011. Lecture Notes in Computer Science, vol 6625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20520-0_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20520-0_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20519-4

  • Online ISBN: 978-3-642-20520-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation