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Applications Of Large Language Models, Aggregation Algorithms, And Extensions For Fuzzy Cognitive Maps

Schuerkamp, Ryan
http://orcid.org/0000-0003-3342-0135
http://rave.ohiolink.edu/etdc/view?acc_num=miami1713604010557592

Abstract Details

2024, Master of Science, Miami University, Computer Science.
Fuzzy Cognitive Maps (FCMs) are powerful semi-quantitative simulation models capable of investigating the long-term behavior of complex systems. They are quick and easy to build, aggregate knowledge from stakeholders, and can evaluate interventions in the system (e.g., if we increase the availability of public transportation, how are emissions affected?). Although FCMs are powerful, they have three critical limitations. First, they cannot represent every aspect of complexity; they do not represent time (e.g., there are no delays or ramp-up of effects) or nonlinear relationships and have a limited representation of uncertainty, hindering their ability to model complex systems. Thus, researchers have developed numerous extensions of FCMs to incorporate additional information. Second, aggregating knowledge from several stakeholders can result in a model whose perspective corresponds to none of the individual viewpoints. Third, FCMs commonly represent mental models: an individual's representation of knowledge that permits reasoning in a particular domain. However, when two FCMs interact, cognitive dissonance may arise, potentially distorting an individual's view of the domain. This thesis addresses these limitations and empowers modelers to effectively use FCMs by reviewing and providing interoperability among numerous extensions, proposing properties and developing new algorithms for aggregation, and automatically resolving dissonance within FCMs.
Philippe Giabbanelli (Advisor)
Honglu Jiang (Committee Member)
Garrett Goodman (Committee Member)
157 p.
Artificial Intelligence; Computer Science
Fuzzy Cognitive Maps; Extensions of Fuzzy Cognitive Maps; Graph Aggregation; Cognitive Dissonance; Modeling & Simulation; Large Language Models

Recommended Citations

Citations

  • Schuerkamp, R. (2024). Applications Of Large Language Models, Aggregation Algorithms, And Extensions For Fuzzy Cognitive Maps [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1713604010557592

    APA Style (7th edition)

  • Schuerkamp, Ryan. Applications Of Large Language Models, Aggregation Algorithms, And Extensions For Fuzzy Cognitive Maps. 2024. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1713604010557592.

    MLA Style (8th edition)

  • Schuerkamp, Ryan. "Applications Of Large Language Models, Aggregation Algorithms, And Extensions For Fuzzy Cognitive Maps." Master's thesis, Miami University, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=miami1713604010557592

    Chicago Manual of Style (17th edition)

miami1713604010557592
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© 2024, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.