Computer Modeling of Spreading Activation Network

Student: Tsyrendylykova Erzhena

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Applied Mathematics (Bachelor)

Year of Graduation: 2018

This work is devoted to the development of the activation propagation model in terms of the known SIS model. We analyze the model on different types of network topologies and simulate the solving process of the Remote Associates Test. The activation propagation model is able to classify the Remote Associates Test by complexity categories (light, medium, heavy). Remote Associates Test‘s simulation is visualized using a web-application built on Django framework using Python. This work contains 39 papers, 5 chapters, 47 images, 1 table, 2 applications. Key words: SIS, Remote Associates Test, random graphs, association network, web-application development, django.

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