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Essays on Network Formation and AttentionNeligh, Nate Leigh January 2018 (has links)
This dissertation tackles two important developing topics in economics: network formation and the allocation of attention. First, it examine the idea that the timing of entry into the network is a crucial determinant of a node’s final centrality. We propose a model of strategic network growth which makes novel predictions about the forward-looking behaviors of players. In particular, the model predicts that agents entering the network at specific times will become central “vie for dominance”. In a laboratory experiment, we find that players do exhibit “vying for dominance” behavior, but do not always do so at the predicted critical times. A model of heterogeneous risk aversion best fits the observed deviations from initial predictions. Timing determines whether players have the opportunity to become attempt to become dominant, but individual characteristics determine whether players exploit that opportunity. This dissertation also examines models of rational inattention, in which decision-makers rationally evaluate the trade-off between the costs and the benefits of information acquisition. We provide results on recovering the implicit attention cost function by looking at the relationship between incentives and performance. We conduct laboratory experiments consisting of simple perceptual tasks with fine-grained variation in the level of potential rewards. We find that most subjects exhibit monotonicity in performance with respect to potential rewards, and there is mixed evidence on continuity and convexity of costs. We also perform a model selection exercise and find that subjects’ behavior is generally most consistent with a small but diverse subset of cost functions commonly assumed in the literature.
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Relational information theoryBond, Rachael Louise January 2018 (has links)
No description available.
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A study in decision-making role perceptions : the bankers of Manhattan, KansasJacka, Donald L January 2010 (has links)
Digitized by Kansas Correctional Industries
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Machine Learning methods for optimization in Multi-Agent Decision Support System : application to Sign Placement for Tsunami Evacuation / Méthodes d’Apprentissage Automatique pour l’Optimisation des Systèmes multi-agents d’aide à la décision : Application au Placement des Panneaux signalétiques pour l’aide à l'Évacuation en cas de tsunamiLe, Van-Minh 13 December 2016 (has links)
Les tsunamis sont l’une des catastrophes naturelles les plus dangereuses. Ils peuvent tuer des milliers de personnes (par exemple : le tsunami de l’Océan Indien en 2004 et le tsunami Tohoku Japan en 2011). L’évacuation est une solution efficace pour sauver les gens dans ces cas des désastres. Avant que le tsunami n’arrive, il faut que les gens atteignent des bâtiments en hauteur ou des zones éloignées de la mer. Notre objectif est d’aider les personnes à se diriger vers les bons endroits durant l'évacuation, en plaçant de façon judicieuse des panneaux signalétiques. Pour le placement optimal de ces panneaux est formulé dans cette thèse comme un problème d’optimisation. Dans un premier temps, nous utiliserons un simulateur multi-agents pour estimer le nombre de survivants en cas de tsunamis. Ce simulateur intégre un modèle de comportement des individus, en fonction des panneaux signalétiques placés dans la ville. L’optimisation basée sur ce simulateur étant inefficace, nous utiliserons des techniques d’apprentissage pour estimer plus rapidement le nombre de survivants dans différents cas. / In recent years, whenever we talked about tsunami, we mentioned the terrible destruction and huge casualties (the tsunami from Indian Ocean in 2004 and the tsunami in Tohoku Japan 2011). The evacuation is the most effective solution to save people in this kind of disaster. Before a tsunami arrival, people should go to the high buildings (called vertical shelters) or high ground areas or zones far from the sea (called horizontal shelters). However, there are always the part of evacuees (e.g. the tourist) who lack information of the city map, we then focus on the solution to guide people in evacuation.This thesis presents the approach of Efficient Optimization in a Multi-Agent Decision Support System : Application to Sign Placement for Tsunami Evacuation. More precisely, we study the approach to place signs and also evacuation maps in the city (at certain crossroads or junctions) to have as many people (call survivors) as possible reach the shelters before tsunami arrival. Our multiagent simulator allows us to estimate the number of survivors after a tsunami. Using various optimization techniques, we then place signs in the city in order to maximize the estimated number of survivors
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Patient involvement in diabetes decision-making: theory and measurementShortus, Timothy Duncan, Public Health & Community Medicine, Faculty of Medicine, UNSW January 2008 (has links)
Providers are encouraged to view patients with chronic disease as ??partners?? in their care, and to collaborate with them in developing care plans. Yet there is little guidance in how collaboration should occur, and little evidence that collaborative care improves patient outcomes. Related models and measures of patient centred care and shared decision making have not been developed specifically for the context of chronic disease care. This thesis aimed to develop a theoretical understanding of how providers and patients make decisions in chronic disease care planning, how patients experience involvement in care planning, and to develop a measure of patient involvement. It consists of two studies: a qualitative study to develop a grounded theory of decision-making in diabetes care planning, and a scale development and psychometrics study. The qualitative study involved 29 providers and 16 patients with diabetes. It found that providers were concerned with a process described as ??managing patient involvement to do the right thing??, while patients were concerned with ??being involved to make sure care is appropriate??. This led to the theory of ??delivering respectful care??, a grounded theory that integrates provider and patient perspectives by showing how providers and patients can resolve their concerns while achieving mutually acceptable outcomes. Central to this theory is the process of finding common ground, while the key conditions are provider responsiveness and an ongoing, trusting and respectful provider-patient relationship. The Collaborative Care Planning Scale (CCPS), based on these findings, is a patient self-report scale that measures patients?? perceptions of involvement in care planning. After piloting the CCPS was tested amongst 166 patients with diabetes. Exploratory factor analysis resulted in a 27-item scale comprising two factors: ??receiving appropriately personalised care?? and ??feeling actively involved in decision-making??. Psychometrics tests revealed the CCPS has adequate internal consistency and test-retest reliability, and findings support construct validity. ??Delivering respectful care?? enriches understanding of the nature of collaboration in chronic disease care, and identifies those elements necessary to ensure patients receive best possible care. The CCPS provides the means for measuring what patients say they value, and is thus an important measure of quality chronic disease care.
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The effects of parallel versus sequential coordination methods on distributed group multiple critera decision-making outcomes : an empirical study with a web-based GDSS prototypeCao, Patrick Pu, 1963- January 2003 (has links)
Abstract not available
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Reuse of industrial products - a technical and economic model for decision supportAnityasari, Maria, Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW January 2008 (has links)
In the field of sustainable manufacturing, a wide range of research has been carried out to attain the more effective use of natural resources and the reduction of environmental impacts during the whole product life cycle. This goal can be best achieved by promoting multiple-reuse of parts, sub-assemblies, or entire products. However, the decision toward reusing an old product depends on a variety of parameters with many uncertainties. Therefore, a comprehensive model to assess the reusability of products prior to the reuse decision is urgently needed. The objective of this research has been to develop a comprehensive assessment model, integrating technical, environmental, social, and economic aspects to evaluate the reusability of industrial products. The assessment model consists of four sub-models, which are a methodology to assess the quality and reliability of products, a model to translate the social responsibility aspect into warranty cost, a methodology to integrate environmental costs, and an economic model to accumulate total life cycle cost as the basis of the evaluation. The model also facilitates trade-offs between the factors to investigate the possibility to improve the reusability of a product. To apply the assessment model in the real business environment, a set of decisionmaking methodologies under different take-back scenarios has been developed as a guideline for manufacturers. Furthermore, as the existence of uncertainty in the reuse strategy is undeniable, a methodology to integrate uncertainties into the assessment model is also developed. The model validation, using three real cases collected from industrial partners on consumer and commercial products, has confirmed the applicability of the model to provide a useful tool to evaluate products at the end of their life cycle. The model also enables decision makers to disclose the risk associated with the decision, thus improving the quality of the decision. The results are in good agreement with the basic theory that the reuse and remanufacturing strategy is highly recommended from both environmental and economic reasons.
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Power and the decision making process : an exploratory case studyMorris, Mervyn J., n/a January 1988 (has links)
n/a
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The influence of unethical peer behavior on observers' unethical behavior a social cognitive perspective /O'Fallon, Michael James, January 2007 (has links) (PDF)
Thesis (Ph. D.)--Washington State University, December 2007. / Includes bibliographical references (p. 198-231).
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Predisposing attributes affecting locational preferences upon retirement : a prospective viewMileham, Colleen K. 24 August 1993 (has links)
This research investigated the relationship of
predisposing attributes of preretirees to the perceived
importance of locational preferences during the first ten
years of retirement. Multiple regression analyses and a
Chi-square test were used to determine if seven predisposing
attributes were related to ten locational preferences. Data
were analyzed from a age-stratified random sample of 1003
preretirees age 40-65 in the three western states of Idaho,
Oregon, and Utah. The data were collected in a mail survey
in 1990 by the Western Regional Agricultural Experiment
Station Committee (W-176).
Gender, education, and income were significantly
related to respondents' perceived importance of low cost of
living. Females, individuals with lower income, and those
with less education indicated a higher perceived importance
for low cost of living.
Gender and income were significantly related to
respondents' perceived importance of employment
opportunities. Employment opportunities were more important
for females and individuals with lower income.
Older respondents and females indicated a greater
importance for convenience and care amenities. Older
respondents, females, and respondents who had not moved,
placed more importance on close proximity to family.
Females and respondents with higher levels of education
indicated greater importance for personal enrichment
opportunities. The perceived importance of recreation was
greater for males, younger respondents, and respondents with
higher income and education. As age increased, the
perceived importance for warm temperatures increased.
Health was significantly related to perceived importance of
accessible medical facilities, but there was no significant
difference in health status and desired types of medical
services.
The findings of this study may assist policy makers,
community planners, and the business sector in understanding
the heterogeneous nature of the aging population. It may
also assist in responsive long-range planning in
accommodating future elderly. / Graduation date: 1994
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