Skip to main content
Springer Nature Link
Log in

Autonomous Composition as Search in a Conceptual Space: A Computational Creativity View

  • Conference paper
  • First Online:
Music Technology with Swing (CMMR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11265))

Included in the following conference series:

  • 1149 Accesses

Abstract

Computational Creativity (CC) is an emerging field of research that focuses on the study and exploitation of the computers’ potential to act as autonomous creators and co-creators. The field is a confluence point for contributions from multiple disciplines, such as Artificial Intelligence, which provides most of its methodological framework, and also Cognitive Science, Psychology, Social Sciences and Philosophy, as well as creative domains like the Arts, Music, Design, Poetry, etc.

In this text, we briefly introduce some basic concepts and terminology of the field, as well as abstract models for characterising some common modes of creativity. We will illustrate how these concepts have been applied in recent times in the development of creative systems, particularly in the music domain. With this paper, we expect to contribute to facilitate communication between the CMMR and CC communities and foster synergies between them.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Association for Computational Creativity (ACC). http://computationalcreativity.net/home/. Accessed 06 Mar 2018

  2. Concept Invention Theory (CoInvent) Project. https://www.coinvent.uni-osnabrueck.de/en/home.html. Accessed 06 Mar 2018

  3. International Workshop on Musical Metacreation (MuMe). http://musicalmetacreation.org. Accessed 05 Mar 2018

  4. Batey, M., Furnham, A.: Creativity, intelligence, and personality: A critical review of the scattered literature. Genet. Soc. Gen. Psychol. Monogr. 132(4), 355–429 (2006)

    Article  Google Scholar 

  5. Boden, M.: The Creative Mind: Myths and Mechanisms. Orion Publishing Co., London (1990)

    Google Scholar 

  6. Cardoso, A., Veale, T., Wiggins, G.: Converging on the divergent: the history (and future) of the international joint workshops on computational creativity. AI Mag. 30(3), 15–22 (2009). http://www.aaai.org/ojs/index.php/aimagazine/article/viewArticle/2252

    Article  Google Scholar 

  7. Cope, D.: An expert system for computer-assisted composition. Comput. Music J. 11(4), 30–46 (1987)

    Article  Google Scholar 

  8. Csikszentmihalyi, M.: 16 implications of a systems perspective for the study of creativity. In: Handbook of Creativity, p. 313 (1999)

    Google Scholar 

  9. Ebcioglu, K.: An expert system for harmonising chorales in the style of J.S. Bach. In: Balaban, M., Ebicioglu, K., Laske, O. (eds.) Understanding Music with AI: Perspectives on Music Cognition. The AAAI Press, California (1992)

    Google Scholar 

  10. Eigenfeldt, A., Bown, O., Brown, A.R., Gifford, T.: Flexible generation of musical form: beyond mere generation. In: Proceedings of the Seventh International Conference on Computational Creativity, ICCC 2016, Paris (2016)

    Google Scholar 

  11. Fauconnier, G.: Mental Spaces: Aspects of Meaning Construction in Natural Language. Cambridge University Press, New York (1994)

    Book  Google Scholar 

  12. Fauconnier, G., Turner, M.: The Way We Think. Basic Books, New York (2002)

    Google Scholar 

  13. Goguen, J.: What is a concept? In: Dau, F., Mugnier, M.-L., Stumme, G. (eds.) ICCS-ConceptStruct 2005. LNCS (LNAI), vol. 3596, pp. 52–77. Springer, Heidelberg (2005). https://doi.org/10.1007/11524564_4

    Chapter  Google Scholar 

  14. Guilford, J.: The Nature of Human Intelligence. McGraw-Hill, New York (1967)

    Google Scholar 

  15. Harmon, S.: Narrative-inspired generation of ambient music. In: Proceedings of the Eighth International Conference on Computational Creativity, ICCC 2017, Atlanta (2017)

    Google Scholar 

  16. Johnson, D.D., Keller, R.M., Weintraut, N.: Learning to create jazz melodies using a product of experts. In: Proceedings of the Eighth International Conference on Computational Creativity, ICCC 2017, Atlanta (2017)

    Google Scholar 

  17. Jordanous, A.: Evaluating evaluation: assessing progress and practices in computational creativity research. In: Veale, T., Cardoso, F.A. (eds.) Computational Creativity: The Philosophy and Engineering of Autonomously Creative Systems. Computational Synthesis and Creative Systems, pp. 209–234. Springer (2019)

    Google Scholar 

  18. Kaliakatsos-Papakostas, M., Queiroz, M., Tsougras, C., Cambouropoulos, E.: Conceptual blending of harmonic spaces for creative melodic harmonisation. J. New Music Res. 46(4), 305–328 (2017)

    Article  Google Scholar 

  19. Kaufman, J.C., Sternberg, R.J.: The International Handbook of Creativity. Cambridge University Press, New York (2006)

    Book  Google Scholar 

  20. Martins, P., Pereira, F.C., Cardoso, F.A.: The nuts and bolts of conceptual blending: multi-domain concept creation with Divago. In: Veale, T., Cardoso, F.A. (eds.) Computational Creativity: The Philosophy and Engineering of Autonomously Creative Systems. Computational Synthesis and Creative Systems, pp. 91–118. Springer (2019)

    Google Scholar 

  21. Newell, A., Shaw, J.C., Simon, H.A.: The Processes of Creative Thinking. Rand Corporation, Santa Monica (1959)

    Google Scholar 

  22. Pachet, F.: A joyful ODE to automatic orchestration. ACM Trans. Intell. Syst. Technol. (TIST) 8(2), 18 (2017)

    Google Scholar 

  23. Pereira, F.C.: Creativity and Artificial Intelligence: A Conceptual Blending Approach, vol. 4. Walter de Gruyter, Berlin (2007)

    Google Scholar 

  24. Rhodes, M.: An analysis of creativity. Phi Delta Kappan 42(7), 305–310 (1961)

    Google Scholar 

  25. Ritchie, G.: The evaluation of creative systems. In: Veale, T., Cardoso, F.A. (eds.) Computational Creativity: The Philosophy and Engineering of Autonomously Creative Systems. Computational Synthesis and Creative Systems, pp. 157–192. Springer (2019)

    Google Scholar 

  26. Sternberg, R.J., Lubart, T.I.: An investment theory of creativity and its development. Hum. Dev. 34(1), 1–31 (1991)

    Article  Google Scholar 

  27. Veale, T.: Exploding the Creativity Myth: The Computational Foundations of Linguistic Creativity. A&C Black, New York (2012)

    Google Scholar 

  28. Veale, T., Cardoso, F.A. (eds.): Computational Creativity: The Philosophy and Engineering of Autonomously Creative Systems. Computational Synthesis and Creative Systems. Springer (2019)

    Google Scholar 

  29. Veale, T., Cardoso, F.A., Pérez y Pérez, R.: Systematizing creativity: the computational view. In: Veale, T., Cardoso, F.A. (eds.) Computational Creativity: The Philosophy and Engineering of Autonomously Creative Systems. Computational Synthesis and Creative Systems, pp. 1–19. Springer (2019)

    Google Scholar 

  30. Wiggins, G.A.: A preliminary framework for description, analysis and comparison of creative systems. Knowl. Based Syst. 19(7), 449–458 (2006)

    Article  Google Scholar 

  31. Wiggins, G.A.: A framework for the description, analysis and comparison of creative systems. In: Veale, T., Cardoso, F.A. (eds.) Computational Creativity: The Philosophy and Engineering of Autonomously Creative Systems. Computational Synthesis and Creative Systems, pp. 21–48. Springer (2019)

    Google Scholar 

  32. Zacharakis, A., Kalikatso-Papakostas, M., Cambouropoulos, E.: Conceptual blending in music cadences: a formal model and subjective evaluation. In: Proceedings of the 16th International Society for Music Information Retrieval (ISMIR) Conference (2015)

    Google Scholar 

  33. Zacharakis, A., Kaliakatsos-Papakostas, M., Tsougras, C., Cambouropoulos, E.: Musical blending and creativity: an empirical evaluation of the chameleon melodic harmonisation assistant. Musicae Scientiae 22(1), 119–144 (2018)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. CISUC, Department of Informatics Engineering, DEI, University of Coimbra, Polo 2, Pinhal de Marrocos, 3030-290, Coimbra, Portugal

    F. Amílcar Cardoso

Authors
  1. F. Amílcar Cardoso
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to F. Amílcar Cardoso .

Editor information

Editors and Affiliations

  1. Laboratoire PRISM, AMU-CNRS, Marseille, France

    Mitsuko Aramaki

  2. INESC TEC, Porto, Portugal

    Matthew E. P. Davies

  3. Laboratoire PRISM, AMU-CNRS, Marseille, France

    Richard Kronland-Martinet

  4. Laboratoire PRISM, AMU-CNRS, Marseille, France

    Sølvi Ystad

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cardoso, F.A. (2018). Autonomous Composition as Search in a Conceptual Space: A Computational Creativity View. In: Aramaki, M., Davies , M., Kronland-Martinet, R., Ystad, S. (eds) Music Technology with Swing. CMMR 2017. Lecture Notes in Computer Science(), vol 11265. Springer, Cham. https://doi.org/10.1007/978-3-030-01692-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-01692-0_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01691-3

  • Online ISBN: 978-3-030-01692-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation