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Hierarchical cognitive maps.

Voicu, Horatiu.

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Hierarchical cognitive maps.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hierarchical cognitive maps./
作者:	Voicu, Horatiu.
面頁冊數:	152 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-06, Section: B, page: 2953.
Contained By:	Dissertation Abstracts International64-06B.
標題:	Psychology, Cognitive. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3095641

Hierarchical cognitive maps.
Voicu, Horatiu.

Hierarchical cognitive maps. - 152 p.

Source: Dissertation Abstracts International, Volume: 64-06, Section: B, page: 2953.

Thesis (Ph.D.)--Duke University, 2003.

This set of studies was designed to investigate two research topics related to spatial navigation in humans. The first topic examines the factors that determine the strategy used by humans (18--20 years old) to perform detours in open virtual environments. A detour in an open environment is performed when a participant encounters and circumvents a large obstacle on a path that has been experienced before. This paradigm was simulated using a computational model of navigation and the predictions of the model were validated experimentally. The results show that humans are more likely to reach the known path if they had previous experience with the path, and they are more likely to move directly to the goal otherwise. The computational model explains these results in terms of the trodden path built between the start and goal locations. A trodden path is defined as a sequence of adjacent places that have been visited repeatedly.Subjects--Topical Terms:

1017810
Psychology, Cognitive.

Hierarchical cognitive maps.
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245 1 0 $a Hierarchical cognitive maps.
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500 $a Source: Dissertation Abstracts International, Volume: 64-06, Section: B, page: 2953.
500 $a Supervisor: Nestor A. Schmajuk.
502 $a Thesis (Ph.D.)--Duke University, 2003.
520 $a This set of studies was designed to investigate two research topics related to spatial navigation in humans. The first topic examines the factors that determine the strategy used by humans (18--20 years old) to perform detours in open virtual environments. A detour in an open environment is performed when a participant encounters and circumvents a large obstacle on a path that has been experienced before. This paradigm was simulated using a computational model of navigation and the predictions of the model were validated experimentally. The results show that humans are more likely to reach the known path if they had previous experience with the path, and they are more likely to move directly to the goal otherwise. The computational model explains these results in terms of the trodden path built between the start and goal locations. A trodden path is defined as a sequence of adjacent places that have been visited repeatedly.
520 $a The second topic addressed in this dissertation investigates the circumstances under which humans build hierarchical representations of space, a subject investigated by Hirtle and Jonides (1985). In their study, participants recalled lists of landmarks from the Ann Arbor Campus at the University of Michigan and estimated distances between pairs of landmarks. The recall lists were analyzed with an algorithm that provides information about the structure of the recall data. The results showed that participants divided the environment into clusters of landmarks. Furthermore, participants estimated distances between landmarks in the same cluster as smaller than similar distances between landmarks in different clusters According to Hirtle and Jonides, these findings are suggestive but not conclusive evidence for the existence of it hierarchical representation of space. We simulated the Hirtle and Jonides study with a computational model that uses a nonhierarchical representation of space and obtained similar findings. The model explains the results by using a nearest neighbor strategy for producing the recall data and by using trodden paths for estimating distances between places.
520 $a Further evidence for the existence of the hierarchical cognitive map is provided by a computational model that uses a hierarchical representation of space. The model shows results that match the experimental findings reported by Hirtle and Jonides. In addition, the model predicts that the reaction time for distance estimation varies logarithmically with distance. The prediction was validated experimentally for the case in which the environment contains structural information.
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