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Title
The Trajectory of Thought: Lévy Flight Patterns and Dynamical Systems in Human Memory Foraging
Description
Recent work in free-recall tasks suggest that human memory foraging may follow a Lévy flight distribution – a random walk procedure that is common in other activities of cognitive agents, such as animal and human food foraging. This study attempts to draw parallels between memory search and physical search, with the assumption that humans follow similar search patterns in both. To date, research merely equates the two processes (foraging in memory and the physical world) based on a similarity in statistical structure. This study starts with demonstrating a relationship between physical distance traveled and IRIs by having participants list countries. An IRI, inter-retrieval interval, is the time interval between items recalled. The next experiment uses multidimensional scaling (MDS) to derive a Euclidean perceptual space from similarity ratings of freely-recalled items and then maps the trajectory of human thought through this perceptual space. This trajectory can offer a much more compelling comparison to physical foraging behavior. Finally, a possible correlate of Lévy flight foraging is explored called critical slowing down. Statistically significant evidence was found in all three experiments. The discussion connects all three experiments and what their results mean for human memory foraging.
Date Created
2016-12
Contributors
- Greer, Katharine Marie (Author)
- Amazeen, Eric L. (Thesis director)
- Glenberg, Arthur (Committee member)
- Amazeen, Polemnia (Committee member)
- Department of Psychology (Contributor)
- School of Criminology and Criminal Justice (Contributor)
- Barrett, The Honors College (Contributor)
Topical Subject
Resource Type
Extent
37 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2016-2017
Handle
https://hdl.handle.net/2286/R.I.40949
Level of coding
minimal
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System Created
- 2017-10-30 02:50:58
System Modified
- 2021-08-11 04:09:57
- 3 years 3 months ago
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