Skip to main content
SpringerLink
Log in

On the Implementation of Evolving Dynamic Cognitive Maps

  • Conference paper
  • First Online:
Fuzzy Techniques: Theory and Applications (IFSA/NAFIPS 2019 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1000))

Included in the following conference series:

  • 693 Accesses

Abstract

Fuzzy Cognitive Maps (FCM) and other Dynamic Cognitive Maps (DCM) allow simulation of the evolution of complex qualitative dynamic systems through time. However, the DCM model is static by itself in the sense that its cognitive configuration, i.e., the concepts’ definitions, the relations among the concepts and the structure of the map, do not change with time. This paper introduces DCM meta-states, a simple but versatile Finite State Machine based mechanism that can be used to implement Evolving FCM and generic Evolving Dynamic Cognitive Maps (Ev-DCM).

Work supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) under reference UID/CEC/50021/2019, grant SFRH/BSAB/136312/2018 and project LISBOA-01-0145-FEDER-031474.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

References

  1. Acampora, G., Loia, V.: On the temporal granularity in fuzzy cognitive maps. IEEE Trans. Fuzzy Syst. 9(6), 1040–1057 (2011)

    Article  Google Scholar 

  2. Alur, R.: A theory of timed automata. Theor. Comput. Sci. 126, 183–235 (1994)

    Article  MathSciNet  Google Scholar 

  3. Axelrod, R.: The Structure of Decision: Cognitive Maps of Political Elites. Princeton University Press, Princeton (1976)

    Google Scholar 

  4. Carvalho, J.P., Tomé, J.A.B.: Rule based fuzzy cognitive maps – fuzzy causal relations. In: Mohammadian, M. (ed.) Computational Intelligence for Modelling, Control and Automation: Evolutionary Computation & Fuzzy Logic for Intelligent Control, Knowledge Acquisition & Information Retrieval. IOS Press, Amsterdam (1999)

    Google Scholar 

  5. Carvalho, J.P., Carola, M., Tome, J.A.: Forest fire modelling using rule-based fuzzy cognitive maps and Voronoi based cellular automata. In: Proceedings of the 25th International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2006, Montreal, Canada (2006)

    Google Scholar 

  6. Carvalho, J.P., Carola, M., Tomé, J.A.: Using rule based fuzzy cognitive maps to model dynamic cell behaviour in Voronoi based cellular automata. In: Proceedings of the WCC I2006 – 2006 IEEE World Congress on Computational Intelligence, pp. 1503–1510 (2006)

    Google Scholar 

  7. Carvalho, J.P.: On the semantics and the use of fuzzy cognitive maps in social sciences. In: Proceedings of the WCCI 2010 – 2010 IEEE World Congress on Computational Intelligence, Barcelona, pp. 2456–2461 (2010)

    Google Scholar 

  8. Carvalho, J.P.: On the semantics and the use of fuzzy cognitive maps and dynamic cognitive maps in social sciences. Fuzzy Sets Syst. 214, 6–19 (2013)

    Article  MathSciNet  Google Scholar 

  9. Carvalho, J.P., Tomé, J.A.: Fuzzy mechanisms for qualitative causal relations. In: Seising, R. (ed.) Views on Fuzzy Sets and Systems from Different Perspectives. Philosophy and Logic, Criticisms and Applications. Studies in Fuzziness and Soft Computing. Springer, Berlin (2009). Chapter 19

    Google Scholar 

  10. Carvalho, J.P., Tomé, J.A.: Rule based fuzzy cognitive maps in socio-economic systems. In: Proceedings of the IFSA-EUSFLAT 2009 - International Fuzzy systems Association World Congress, European Society for Fuzzy Logic and Technology International Conference, pp. 1821–1826 (2009)

    Google Scholar 

  11. Carvalho, J.P., Tomé, J.A.: Rule based fuzzy cognitive maps - expressing time in qualitative system dynamics. In: Proceedings of the 2001 FUZZ-IEEE Conference, Melbourne, Australia (2001)

    Google Scholar 

  12. Carvalho, J.P., Tomé, J.A.: Rule based fuzzy cognitive maps – qualitative systems dynamics. In: Proceedings of the 19th International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2000, Atlanta, pp. 407–411 (2000)

    Google Scholar 

  13. Carvalho, J.P., Wise, L., Murta, A., Mesquita, M.: Issues on dynamic cognitive map modelling of purse-seine fishing skippers behavior. In: Proceedings of the WCCI 2008 – 2008 IEEE World Congress on Computational Intelligence, Hong-Kong, pp. 1503–1510 (2008)

    Google Scholar 

  14. Hagiwara, M.: Extended fuzzy cognitive maps. In: Proceedings of IEEE International Conference on Fuzzy Systems, pp. 795–801 (1992)

    Google Scholar 

  15. Kosko, B.: Fuzzy cognitive maps. Int. J. Man-Mach. Stud 24(1), 65–75 (1986)

    Article  Google Scholar 

  16. Kosko, B.: Fuzzy Thinking. Hyperion, Santa Clara (1993)

    MATH  Google Scholar 

  17. Kosko, B.: Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence. Prentice-Hall International Editions, Upper Saddle River (1992)

    MATH  Google Scholar 

  18. Kottas, T.L., Boutalis, Y.S., Christodoulou, M.A.: Fuzzy cognitive network: a general framework. Intell. Decis. Technol 1, 183–196 (2007)

    Article  Google Scholar 

  19. Laukkanen, M.: Conducting causal mapping research: opportunities and challenges. In: Eden, C., Spender, J.-C. (eds.) Managerial and Organisational Cognition. Sage, Thousand Oaks (1998)

    Google Scholar 

  20. Miao, Y., Liu, Z., Siew, C., Miao, C.: Dynamical cognitive network - an extension of fuzzy cognitive map. IEEE Trans. Fuzzy Syst. 9(5), 760–770 (2001)

    Article  Google Scholar 

  21. Minsky, M.: Computation: Finite and Infinite Machines, 1st edn. Prentice-Hall, Upper Saddle River (1967)

    MATH  Google Scholar 

  22. Sipser, M.: Introduction to the Theory of Computation, Second Edition, International Edition, Thomson Course Technology (2006)

    Google Scholar 

  23. Wise, L., Murta, A., Carvalho, J.P., Mesquita, M.: Qualitative modelling of fishermen’s behaviour in a pelagic fishery. Ecol. Model. 228, 112–122 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. INESC-ID/Instituto Superior Técnico, Universidade de Lisboa, R. Alves Redol, 9, 1000-029, Lisbon, Portugal

    Joao Paulo Carvalho

Authors
  1. Joao Paulo Carvalho
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Joao Paulo Carvalho .

Editor information

Editors and Affiliations

  1. Department of Mathematics, University of Louisiana at Lafayette, Lafayette, LA, USA

    Ralph Baker Kearfott

  2. Center for Computing Research (CIC), Instituto Politecnico Nacional, Ciudad de Mexico, Mexico

    Ildar Batyrshin

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Marek Reformat

  4. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Martine Ceberio

  5. Department of Computer Science, University of Texas at El Paso , El Paso, TX, USA

    Vladik Kreinovich

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Carvalho, J.P. (2019). On the Implementation of Evolving Dynamic Cognitive Maps. In: Kearfott, R., Batyrshin, I., Reformat, M., Ceberio, M., Kreinovich, V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_19

Download citation

Publish with us

Policies and ethics

Search

Navigation