| Title: | Technological valley of death as an emergent evolutionary phenomenon |
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| Authors: | ID Fic, Petra (Author) ID Bokal, Drago (Mentor) More about this mentor...  |
| Files: | MAG_Fic_Petra_2019.pdf (1,56 MB) MD5: C6B16189237BF942FC4E76CFCA542652 PID: 20.500.12556/dkum/f0fe6d22-3853-4e44-afe0-640d6d6888c1
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| Language: | English |
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| Work type: | Master's thesis/paper |
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| Typology: | 2.09 - Master's Thesis |
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| Organization: | FNM - Faculty of Natural Sciences and Mathematics
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| Abstract: | Perceptual researchers often argue that natural selection supports veridical perceptions, respectively those that accurately reflect the environment. They also claim that beings whose perceptions are truer are also more fit. This assumption was tested using standard tools of evolutionary game theory in a simple environment. The result was that more veridical perceptions are not necessarily more successful. In the majority of the parameter space, veridical perceptions are extinct in competition with simplified perceptions, based on adaptive behavior in a given environment. In the thesis, we build upon mentioned territorial games introduced by Mark, Marion, and Hoffman in 2010, and extend four of their territory perception and selection strategies with two novel ones that together constitute a model of technological readiness valley of death. Whenever utility of a resource is not monotonous in the amount of that resource, the technological valley of death emerges. While the development of the science behind these models is in its infancy, modeling and understanding the phenomenon may shed light on progress and related phenomena in society. |
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| Keywords: | evolution, perception, utility, Monte Carlo simulation, game theory |
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| Place of publishing: | Maribor |
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| Publisher: | [P. Fic] |
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| Year of publishing: | 2019 |
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| PID: | 20.500.12556/DKUM-75285  |
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| UDC: | 519.83(043.2) |
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| COBISS.SI-ID: | 24924680  |
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| NUK URN: | URN:SI:UM:DK:SC1XBMRE |
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| Publication date in DKUM: | 22.11.2019 |
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| Views: | 1993 |
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| Downloads: | 199 |
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| Metadata: |  |
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| Categories: | FNM
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