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Using Fuzzy Cognitive Maps to Arouse Learning Processes in Cities

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Designing Cognitive Cities

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 176))

Abstract

Processing information in a city is simultaneously a primary task and a pivotal challenge. Urban data are usually expressed in natural language and thus imprecise but can contain relevant information that should be processed to advance the city. Fuzzy cognitive maps (FCMs) can be used to model interconnected and imprecise urban data and are therefore suitable to both address this challenge and to fulfil the primary task. Cognitive cities are based on connectivism, which assumes that knowledge is built through the experiences and perceptions of different people. Hence, the design of a cognitive learning process in a city is crucial. In this article, the current state-of-the-art research in the field of FCMs and FCMs combined with learning algorithms is presented based on an extensive literature review and grounded theory. In total, 59 research papers were gathered and analyzed. The results show that the application of FCMs already facilitates the acquisition and representation of urban data and, thus, helps to make a city smarter. However, using FCMs combined with learning algorithms optimizes this smartness and helps to foster the development of cognitive cities.

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Notes

  1. 1.

    Cf. https://scholar.google.ch/.

  2. 2.

    Cf. http://www.sciencedirect.com/.

  3. 3.

    Cf. http://dl.acm.org/.

  4. 4.

    Cf. https://www.google.ch/.

  5. 5.

    Please note: the left column always states the source and the right the applied field.

  6. 6.

    Please note: the left column always states the source, the middle column the applied field and the right the employed learning algorithm.

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Author information

Authors and Affiliations

  1. Human-IST Institute, University of Fribourg, Boulevard de PĂ©rolles 90, 1700, Fribourg, Switzerland

    Sara D’Onofrio & Edy Portmann

  2. Department of Electrical Engineering, University of Applied Sciences (TEI) of Thessaly, Larisa, Greece

    Elpiniki Papageorgiou

Authors
  1. Sara D’Onofrio
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  2. Elpiniki Papageorgiou
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  3. Edy Portmann
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Corresponding author

Correspondence to Sara D’Onofrio .

Editor information

Editors and Affiliations

  1. Human-IST Institute, University of Fribourg, Fribourg, Switzerland

    Edy Portmann

  2. Istituto Nazionale di Ricerche Demopolis, Demopolis, Italy

    Marco E. Tabacchi

  3. Deutsches Museum MĂĽnchen, The Research Institute for the History of Science and Technology, Munich, Germany

    Rudolf Seising

  4. Transdisciplinary Research Centre Smart Swiss Capital Region (TRCSSCR), University of Bern, Bern, Switzerland

    Astrid Habenstein

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D’Onofrio, S., Papageorgiou, E., Portmann, E. (2019). Using Fuzzy Cognitive Maps to Arouse Learning Processes in Cities. In: Portmann, E., Tabacchi, M., Seising, R., Habenstein, A. (eds) Designing Cognitive Cities. Studies in Systems, Decision and Control, vol 176. Springer, Cham. https://doi.org/10.1007/978-3-030-00317-3_5

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