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An assessment of the effect of pers...

Heckman, Kristin Elizabeth.

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An assessment of the effect of personality and forward context on the expertise of a collective learning system using the FIVE-FACTOR model of personality.

Record Type:	Electronic resources : Monograph/item
Title/Author:	An assessment of the effect of personality and forward context on the expertise of a collective learning system using the FIVE-FACTOR model of personality./
Author:	Heckman, Kristin Elizabeth.
Description:	230 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3001.
Contained By:	Dissertation Abstracts International65-06B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3135583
ISBN:	0496828061

An assessment of the effect of personality and forward context on the expertise of a collective learning system using the FIVE-FACTOR model of personality.
Heckman, Kristin Elizabeth.

An assessment of the effect of personality and forward context on the expertise of a collective learning system using the FIVE-FACTOR model of personality. - 230 p.

Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3001.

Thesis (D.Sc.)--The George Washington University, 2004.

This research investigates the relationship between personality, forward context, and Expertise in a collective learning automation (CLA) embedded in a collective learning system (CLS). The FIVE-FACTOR model (FFM) of personality, a model of the major dimensions of personality, was used to assess the effect of personality on the Expertise of a CLA, named Nemo, as it played a simple, deterministic game called Strategem.

ISBN: 0496828061Subjects--Topical Terms:

626642
Computer Science.

An assessment of the effect of personality and forward context on the expertise of a collective learning system using the FIVE-FACTOR model of personality.
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035 $a (UnM)AAI3135583
035 $a AAI3135583
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100 1 $a Heckman, Kristin Elizabeth. $3 1934719
245 1 3 $a An assessment of the effect of personality and forward context on the expertise of a collective learning system using the FIVE-FACTOR model of personality.
300 $a 230 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3001.
500 $a Director: Peter Bock.
502 $a Thesis (D.Sc.)--The George Washington University, 2004.
520 $a This research investigates the relationship between personality, forward context, and Expertise in a collective learning automation (CLA) embedded in a collective learning system (CLS). The FIVE-FACTOR model (FFM) of personality, a model of the major dimensions of personality, was used to assess the effect of personality on the Expertise of a CLA, named Nemo, as it played a simple, deterministic game called Strategem.
520 $a Nemo's compensation policy determined how it responded to its supervisor and how it reinforced and punished its own behavior. Nemo's response selection policy determined how it selected its moves in the game based on its tie-confidence and reject-confidence thresholds. Nemo's forward context determined its ability to plan and make intelligent decisions. The primary goal was to measure the effect of personality and forward context on the Expertise of Nemo playing Strategem. The factors are the upper and lower bounds of Nemo's compensation policy and Nemo's tie-confidence and reject-confidence thresholds. The performance metrics measured Nemo's Expertise and Nemo's FFM FACTORS and facets using observational methods.
520 $a Formal experiments were conducted in which Nemo0 (without a forward context) and Nemof (with a forward context) were instantiated with different research factor values, and their Expertise and personality were measured while they played Strategem.
520 $a The following conclusions were drawn: (1) Nemo's forward context had significant effects on its Expertise as a function of its factors; (2) Nemo's Expertise was insensitive to changes in its self-reward; (3) the Expertise of Nemof was higher with more self-punishment than with less; (4) Nemof's Expertise differed more with its self-punishment than with its self-reinforcement; (5) the Expertise of Nemof was higher than Nemo 0 with high uncertainty; (6) the Expertise of Nemo f increased more than Nemo0 as a function of time; (7) Nemo's forward context had significant effects on its personality as a function of its factors; (8) Nemo exhibited different personalities; (9) Nemof exhibited Narcissistic Personality Disorder in twenty-seven treatments; and (10) Nemo's forward context had significant effects on its Expertise given its personality FACTOR level.
590 $a School code: 0075.
650 4 $a Computer Science. $3 626642
650 4 $a Psychology, Personality. $3 1017585
650 4 $a Psychology, Cognitive. $3 1017810
690 $a 0984
690 $a 0625
690 $a 0633
710 2 0 $a The George Washington University. $3 1017405
773 0 $t Dissertation Abstracts International $g 65-06B.
790 1 0 $a Bock, Peter, $e advisor
790 $a 0075
791 $a D.Sc.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3135583