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A computational model of Tower of Ha...

Varma, Sashank.

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A computational model of Tower of Hanoi problem solving.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A computational model of Tower of Hanoi problem solving./
Author:	Varma, Sashank.
Description:	295 p.
Notes:	Adviser: Timothy McNamara.
Contained By:	Dissertation Abstracts International67-08B.
Subject:	Artificial Intelligence. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3230587
ISBN:	9780542823763

A computational model of Tower of Hanoi problem solving.
Varma, Sashank.

A computational model of Tower of Hanoi problem solving. - 295 p.

Adviser: Timothy McNamara.

Thesis (Ph.D.)--Vanderbilt University, 2006.

The Tower of Hanoi (TOH) is a classic problem solving task. Over the past twenty years, it has found new applications in domains of cognition such as executive function, in special populations such as patients with frontal lobe lesions, and with new measurement technologies such as functional neuroimaging. The resulting explosion of new data has not been matched by new theoretical accounts and computational models. This dissertation describes a new model of TOH problem solving. The model is evaluated against behavioral measures of normal young adults, behavioral measures of patients with frontal lobe lesions, and neuroimaging measures of normal young adults. The main achievement is the first comprehensive account of the new data on TOH problem solving. Secondary achievements include new insights into the nature of goals; a new account of selection between competing alternatives; a new theory of the interaction between frontal and parietal areas that synthesizes existing theories of problem solving and executive function; a novel methodological focus on the design decisions that arise during model construction rather than numerically-valued free parameters; and additional support for the breadth claims of the 4CAPS cognitive architecture. This research sets the stage for future investigations of other populations such as young children, other tasks such as verbal fluency, other brain areas such as the temporal areas where declarative long-term memories reside, and other computational topics such as learning.

ISBN: 9780542823763Subjects--Topical Terms:

769149
Artificial Intelligence.

A computational model of Tower of Hanoi problem solving.
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005 20110915
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020 $a 9780542823763
035 $a (UMI)AAI3230587
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100 1 $a Varma, Sashank. $3 1291178
245 1 2 $a A computational model of Tower of Hanoi problem solving.
300 $a 295 p.
500 $a Adviser: Timothy McNamara.
500 $a Source: Dissertation Abstracts International, Volume: 67-08, Section: B, page: 4736.
502 $a Thesis (Ph.D.)--Vanderbilt University, 2006.
520 $a The Tower of Hanoi (TOH) is a classic problem solving task. Over the past twenty years, it has found new applications in domains of cognition such as executive function, in special populations such as patients with frontal lobe lesions, and with new measurement technologies such as functional neuroimaging. The resulting explosion of new data has not been matched by new theoretical accounts and computational models. This dissertation describes a new model of TOH problem solving. The model is evaluated against behavioral measures of normal young adults, behavioral measures of patients with frontal lobe lesions, and neuroimaging measures of normal young adults. The main achievement is the first comprehensive account of the new data on TOH problem solving. Secondary achievements include new insights into the nature of goals; a new account of selection between competing alternatives; a new theory of the interaction between frontal and parietal areas that synthesizes existing theories of problem solving and executive function; a novel methodological focus on the design decisions that arise during model construction rather than numerically-valued free parameters; and additional support for the breadth claims of the 4CAPS cognitive architecture. This research sets the stage for future investigations of other populations such as young children, other tasks such as verbal fluency, other brain areas such as the temporal areas where declarative long-term memories reside, and other computational topics such as learning.
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650 4 $a Computer Science. $3 626642
650 4 $a Psychology, Cognitive. $3 1017810
650 4 $a Psychology, Psychobiology. $3 1017821
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