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Dissertations / Theses on the topic 'Decision-Making Under Deep Uncertainty'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Roach, Thomas Peter. "Decision making methods for water resources management under deep uncertainty." Thesis, University of Exeter, 2016. http://hdl.handle.net/10871/25756.

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Substantial anthropogenic change of the Earth’s climate is modifying patterns of rainfall, river flow, glacial melt and groundwater recharge rates across the planet, undermining many of the stationarity assumptions upon which water resources infrastructure has been historically managed. This hydrological uncertainty is creating a potentially vast range of possible futures that could threaten the dependability of vital regional water supplies. This, combined with increased urbanisation and rapidly growing regional populations, is putting pressures on finite water resources. One of the greatest

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2

McInerney, Robert E. "Decision making under uncertainty." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:a34e87ad-8330-42df-8ba6-d55f10529331.

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Operating and interacting in an environment requires the ability to manage uncertainty and to choose definite courses of action. In this thesis we look to Bayesian probability theory as the means to achieve the former, and find that through rigorous application of the rules it prescribes we can, in theory, solve problems of decision making under uncertainty. Unfortunately such methodology is intractable in realworld problems, and thus approximation of one form or another is inevitable. Many techniques make use of heuristic procedures for managing uncertainty. We note that such methods suffer u

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3

Warren, Adam L. "Sequential decision-making under uncertainty /." *McMaster only, 2004.

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4

Hope, Susannah Jayne. "Decision making under spatial uncertainty /." Connect to thesis, 2005. http://repository.unimelb.edu.au/10187/1150.

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Errors are inherent to all spatial datasets and give rise to a level of uncertainty in the final product of a geographic information system (GIS). There is growing recognition that the uncertainty associated with spatial information should be represented to users in a comprehensive and unambiguous way. However, the effects on decision-making of such representations have not been thoroughly investigated. Studies from the psychological literature indicate decision-making biases when information is uncertain. This study explores the effects of representing spatial uncertainty, through an examinat

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5

Odame, Augustina Yaa Oye. "Water Decision-Making Under Uncertainty." DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4576.

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This dissertation is made up of three separate studies under the unifying theme of “Water Decision-Making under Uncertainty.” The first study analyzed a farmer’s decision to invest in a more efficient irrigation system given uncertainty about future water supplies and his post-investment efficiency. It found the price at which farmers would no longer produce to be a bigger consideration in irrigation investment than previously thought. It also found support for a careful identification and consideration of all significant sources of uncertainty in order to create better policy incentives for i

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6

Wang, Di. "Essays on decision-making under uncertainty." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/49460/.

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This thesis consists of three closely related studies investigating individual decision-making under risk and uncertainty, with a focus on decision weighting. Chapter 1 provides an overview of the common themes and theoretical framework for this research. Chapter 2 reports the development of a simple method to measure the probability weighting function of Prospect Theory (Kahneman & Tversky, 1979) and rank-dependent utility theories. Our method, called the Neo-Lite method, is based on Abdellaoui et al. (2011)’s source method and the Neo-additive weighting function (Chateauneuf et al., 2007). I

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7

Péron, Martin Brice. "Optimal sequential decision-making under uncertainty." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/120831/1/Martin%20Brice_Peron_Thesis.pdf.

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This thesis develops novel mathematical models to make optimal sequential decisions under uncertainty. One of the main objectives is to scale Markov decision processes, the framework of choice for selecting the best sequential decisions, to larger problems. The thesis is motivated by the management of the invasive tiger mosquito Aedes albopictus across the Torres Strait Islands, an archipelago of islands at the doorstep of the Australian mainland.

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8

Mirestean, Alin Tavi. "Decision making under uncertainty and bounded rationality." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2946.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Economics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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9

Bayley, Timothy West, and Timothy West Bayley. "Decision Making Under Uncertainty in Water Resources." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/621871.

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Hydrology is a field fraught with uncertainty. Uncertainty comes from both our inability to perfectly know the true nature of constant system components of hydrologic systems (e.g. hydraulic conductivity, geologic structure, etc.) and our inability to perfectly predict the behavior of variable system components (e.g. future precipitation, future streamflow, etc.). Hydrologic literature has increasingly recognized that within the bounds of uncertainty, many acceptable hydrologic models exist and differ in their predictions. Modeling applications that recognize this uncertainty have become mor

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10

Lu, Shaohua. "Essays on Strategic Decision Making under Uncertainty." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437747505.

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11

Fleischhut, Nadine. "Moral judgment and decision making under uncertainty." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2013. http://dx.doi.org/10.18452/16820.

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Die vorliegende Dissertation untersucht, wie Menschen Urteile und Entscheidungen in moralischen Situationen unter Unsicherheit treffen. In theoretischer Hinsicht wird Verhalten in moralischen Situationen aus der Perspektive begrenzter und ökologischer Rationalität analysiert, die das Zusammenspiel zwischen Kognition und der Struktur der Umwelt betont. Empirisch ist das Ziel, moralische Urteile und Verhalten unter epistemischen Bedingungen zu untersuchen, denen Menschen in der realen Welt begegnen. Das erste Projekt diskutiert aus der Perspektive ökologischer Rationalität wie das Zusammenspi

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12

Harrison, Kenneth Watson. "Environmental and Water Resources Decision-Making Under Uncertainty." NCSU, 2002. http://www.lib.ncsu.edu/theses/available/etd-06042002-150804/.

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"Decision-making under uncertainty" is an important area of study in numerous disciplines. The variety of quantitative methods that have been proposed to address environmental and water resources problems reflects the importance of this subject. In a review of the literature, methods were compared and contrasted and promising areas for future research were identified. Conclusions drawn from the review were that 1) large gains may be realized from cross-disciplinary research, 2) significant benefits may be realized from considering uncertainty, 3) advanced algorithms?probabilistic search method

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13

Tabaeh, Izadi Masoumeh. "On knowledge representation and decision making under uncertainty." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103012.

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Designing systems with the ability to make optimal decisions under uncertainty is one of the goals of artificial intelligence. However, in many applications the design of optimal planners is complicated due to imprecise inputs and uncertain outputs resulting from stochastic dynamics. Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical framework to model these kinds of problems. However, the high computational demand of solution methods for POMDPs is a drawback for applying them in practice.<br>In this thesis, we present a two-fold approach for improving the trac

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14

Schmidt, Christian W. "Individual and Household Mobility Decision Making under Uncertainty." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-86165.

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Favorable and unfavorable demographic processes and their imminent repercussions for local labor markets, regional economic development, and the accomplishment of public duties have spurred the interest around the world. The mobility of individuals and households, in particular in the form of migration and commuting, decisively shapes these demographic trends at the regional and local level. Studying the causes of mobility behavior at the microlevel, therefore, delivers hypotheses needed for the evaluation of various policy options directed at attracting new and retaining existing population s

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15

Boularias, Abdeslam. "Predictive Representations for Sequential Decision Making under Uncertainty." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/27534/27534.pdf.

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16

Lopes, Eurico Ribeiro. "A grounded theory of decision -making under uncertainty." Thesis, Leeds Beckett University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500462.

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17

Zhang, Minjiao. "Polyhedral Approaches to Dynamic Decision Making under Uncertainty." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1373925091.

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18

Vasireddy, Sashank. "Decision-based design under uncertainty with intervals." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2009. http://scholarsmine.mst.edu/thesis/pdf/Vasireddy_09007dcc80642f0b.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2009.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 21, 2009) Includes bibliographical references (p. 66-69).

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19

Davidson, Erick. "Market and professional decision-making under risk and uncertainty." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1196261774.

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20

Palma, Cristian Dereck. "Robust optimization for forest resources decision-making under uncertainty." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/23329.

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There is a general consensus that management decisions concerning forest resources are made in an intrinsically uncertain environment. However, decision-making tools used in forest management assume perfect information, leaving decision-makers to explore the most likely scenarios of uncertainty and determine the most reasonable management alternative. Although techniques that explicitly consider uncertainty exist, they increase the complexity of the models hence precluding their application to large-size problems. This dissertation describes the application of robust optimization concepts that

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21

Kusev, Petko Ivaylov. "Protective Decision-Making under Conditions of Risk and Uncertainty." Thesis, Teesside University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.517578.

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22

Hanasusanto, Grani Adiwena. "Decision making under uncertainty : robust and data-driven approaches." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/25741.

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A wide variety of decision problems in engineering, science and economics involve uncertain parameters whose values are unknown to the decision maker when the decisions are made. Ignoring this uncertainty can lead to inferior solutions that perform poorly in practice. Many decision problems under uncertainty also span across multiple time stages and thus involve adaptive decisions. Such problems are naturally formulated as multi-stage stochastic programs. Despite its wide applicability, stochastic programming suffers from three major shortcomings. Firstly, stochastic programming models assume

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23

Gökalp, Elvan. "Modelling and solving healthcare decision making problems under uncertainty." Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/102291/.

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The efficient management of healthcare services is a great challenge for healthcare managers because of ageing populations, rising healthcare costs, and complex operation and service delivery systems. The challenge is intensified due to the fact that healthcare systems involve various uncertainties. Operations Research (OR) can be used to model and solve several healthcare decision making problems at strategic, tactical and also operational levels. Among different stages of healthcare decision making, resoure allocation and capacity planning play an important role for the overall performance o

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24

Leong, Tze-Yun. "An integrated approach to dynamic decision making under uncertainty." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/36496.

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25

Hove, Munyaradzi James. "Exploring the role data-driven decision-making under uncertainty." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/79587.

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Decision making requires managers to carefully analyse the business environment and make sense of existing information in a bid to direct and influence particular courses of action for organisations. However, there is complexity of this process in uncertainty, such as that exemplified by the year 2020 due to the effects of the global COVID-19 pandemic. Within this context of uncertainty, and given the proliferation of big data, the role of data-driven decision-making under uncertainty is yet to be established. This research explored the role of data-driven decision-making under uncertainty, in

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26

Nielsen, Kirby. "Essays in Decision Making Under Uncertainty and Strategic Communication." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu153683787178474.

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27

Muth, Karl. "Three frameworks for commodity-producer decision-making under uncertainty." Thesis, London School of Economics and Political Science (University of London), 2015. http://etheses.lse.ac.uk/3249/.

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This monograph examines the – at times, seemingly irrational – decision-making behaviour of entrepreneurs in the East African agricultural market. It seeks to reconcile empirical observations made between 2011 and 2014 in the towns of Oyam and Kapchorwa, two communities with centuries of entirely separate agricultural history, with a larger decision-making framework. Drawing on decision sciences, development economics, and other literatures, various theoretical frameworks are explored to explain the domain-specific decision-making observed in Uganda. First, two largely rational, cost-focused d

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28

Al-Shyoukh, Ibrahim Ali Odeh. "Online-information-based learning and decision making under uncertainty." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1428863411&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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29

Grobler, Francois. "Optimised decision-making under grade uncertainty in surface mining." Thesis, Curtin University, 2015. http://hdl.handle.net/20.500.11937/1376.

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Mining schedule optimisation often ignores geological and economic risks in favour of simplistic deterministic methods. In this thesis a scenario optimisation approach is developed which uses MILP optimisation results from multiple conditional simulations of geological data to derive a unique solution. The research also generated an interpretive framework which incorporates the use of the Coefficient of Variation allowing the assessment of various optimisation results in order to find the solution with the most attractive risk-return ratio.

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Mokhtari, Soroush. "Developing a Group Decision Support System (GDSS) for decision making under uncertainty." Master's thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5675.

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Multi-Criteria Decision Making (MCDM) problems are often associated with tradeoffs between performances of the available alternative solutions under decision making criteria. These problems become more complex when performances are associated with uncertainty. This study proposes a stochastic MCDM procedure that can handle uncertainty in MCDM problems. The proposed method coverts a stochastic MCDM problem into many deterministic ones through a Monte-Carlo (MC) selection. Each deterministic problem is then solved using a range of MCDM methods and the ranking order of the alternatives is establi

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31

Dörr, Ulrike [Verfasser]. "Subjective Self-Assessment and Decision Making under Uncertainty / Ulrike Dörr." Kiel : Universitätsbibliothek Kiel, 2013. http://d-nb.info/1036406296/34.

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32

Bland, Amy Rachel. "A role for cognitive control in decision making under uncertainty." Thesis, University of Leeds, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582108.

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Decision-making relies on one's ability to form a stable representation of the underlying Stimulus-Response-Outcome (S-R-O) rules learned from previous experience of gains and losses (e.g. Seymour et al., 2007; Ridderinkhof et al., 2004; Sutton and Barto, 1998). However, learning these representations is made particularly challenging by frequent changes in S-R-O associations. Therefore a changing and volatile world requires continuous tracking of the S-R-O probabilities in our environment (Behrens, et al., 2007; Krugel et al., 2009; N assar et al., 2010). Computational modelling of behaviour t

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33

Lesch, Tilman Christoph. "Functional impulsivity and individual differences in decision-making under uncertainty." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709256.

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34

Petersen, H. "Decision-making under uncertainty : the political economy of shale gas." Thesis, City, University of London, 2016. http://openaccess.city.ac.uk/19213/.

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This thesis explores the factors influencing governmental policy preferences on the uncertain issue of shale gas development. I argue that there is no convincing expected utility of shale gas development, and that, in light of conflicting evidence, governmental decision-makers cannot believe it to be so. The notion of a ‘rational actor’ government deciding on shale gas based on its utility offers limited explanatory value. I am telling a more comprehensive story of shale gas and by using different clues taken from political economy and behavioural economics theory, develop several narratives a

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35

Agarwal, Anna. "Decision making under epistemic uncertainty : an application to seismic design." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43052.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2008.<br>Includes bibliographical references (leaves 90-92).<br>The problem of accounting for epistemic uncertainty in risk management decisions is conceptually straightforward, but is riddled with practical difficulties. Simple approximations are often used whereby future variations in epistemic uncertainty are ignored or worst-case scenarios are postulated. These strategies tend to produce sub-optimal decisions. We develop a framework based on Bayesian decision theory that accounts for the ran

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36

Lorkowski, Joseph A. "Bounded rationality in decision making under uncertainty| Towards optimal granularity." Thesis, The University of Texas at El Paso, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10000752.

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<p> Starting from well-known studies by Kahmenan and Tversky, researchers have found many examples when our decision making seems to be irrational. We show that this seemingly irrational decision making can be explained if we take into account that human abilities to process information are limited. As a result, instead of the exact <i>values</i> of different quantities, we operate with <i>granules</i> that contain these values. On several examples, we show that optimization under such granularity restriction indeed leads to observed human decision making. Thus, granularity helps explain seemi

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37

Maurovich, Horvat L. "Decision making under uncertainty and competition for sustainable energy technologies." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1460562/.

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This dissertation addresses the main challenges faced in the transition to a more sustainable energy sector by applying modelling tools that could design more effective managerial responses and provide policy insights. To mitigate the impact of climate change, the electric power industry needs to reduce markedly its emissions of greenhouse gases. As energy consumption is set to increase in the foreseeable future, this can be achieved only through costly investments in more efficient conventional generation or in renewable energy resources. While more energy-efficient technologies are commercia

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Marino, Carlos Antonio. "Optimization and decision making under uncertainty for distributed generation technologies." Thesis, Mississippi State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10242497.

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<p> This dissertation studies two important models in the field of the distributed generation technologies to provide resiliency to the electric power distribution system. In the first part of the dissertation, we study the impact of assessing a Combined Cooling Heating Power system (CCHP) on the optimization and management of an on-site energy system under stochastic settings. These mathematical models propose a scalable stochastic decision model for large-scale microgrid operation formulated as a two-stage stochastic linear programming model. The model is solved enhanced algorithm strategies

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Fowler, David W. "Branching constraint satisfaction problems : sequential constrained decision making under uncertainty." Thesis, University of Aberdeen, 2002. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU153443.

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One of the main characteristics of our world is uncertainty. Making plans for the future is difficult, as we do not know exactly what the future holds. Companies must be flexible, ready to cope with the unpredictable demands that are placed on them. As a result, plans are often either short term, or tend to change soon after they are made. Another feature of the modern world is its pace. Decisions must be made quickly, or events may make them out of date before they can be implemented. In this thesis, we look at decision making problems in the presence of uncertainty about how the problem may

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40

Li, Yuan. "Decision making under uncertainty in power system using Benders decomposition." [Ames, Iowa : Iowa State University], 2008.

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41

Essghaier, Fatma. "Collective decision making under qualitative possibilistic uncertainty : principles and characterization." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30211/document.

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Cette Thèse pose la question de la décision collective sous incertitude possibiliste. On propose différents règles de décision collective qualitative et on montre que dans un contexte possibiliste, l'utilisation d'une fonction d'agrégation collective pessimiste égalitariste ne souffre pas du problème du Timing Effect. On étend ensuite les travaux de Dubois et Prade (1995, 1998) relatifs à l'axiomatisation des règles de décision qualitatives (l'utilité pessimiste) au cadre de décision collective et montre que si la décision collective comme les décisions individuelles satisfont les axiomes de D

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Roelofse, Emmalinde. "M3 strategic decision-making under uncertainty : modes, models, & momentum." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3909.

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The M3 theory contributes to new knowledge through original research and advanced scholarship by introducing a descriptive framework for strategic decision-making in uncertain and changing environments. Aided by the introduction of a Social Realism epistemology into management literature it is differentiated its ability to present complex strategic positions as essentialist (via modes), relative (via models), and dynamic (via momentum) to plot the dynamic trajectory of innovation emergence, change, adaptation and transformation over time. At a fundamental level, the M3 theory identifies a cons

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Garcia, Thomas. "A behavioral approach of decision making under risk and uncertainty." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/132313/1/Thomas%20Jean-Christophe%20Lucien_Garcia_Thesis.pdf.

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This thesis investigates how individuals make decisions under risk and uncertainty. It is composed of four essays that theoretically and experimentally investigate decision-making. First, I study situations where individuals must decide whether an event has occurred using uncertain evidence. I highlight that individuals tend to maximize accuracy instead of maximizing expected payoffs. I find that it is partially due to the existence of a value of being right and a recency bias. Second, I study how ambiguity on the costs or the benefits of a donation affects donation behavior. I show that indiv

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Garcia, Thomas. "A behavioral approach of decision making under risk and uncertainty." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE2042/document.

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Cette thèse porte sur la façon dont les individus prennent des décisions en présence de risque et d'incertitude. Elle est composée de quatre essais qui étudient théoriquement et expérimentalement la prise de décision.Les deux premiers essais étudient des situations où un décideur doit décider si un événement a eu lieu en utilisant des informations incertaines. Le fait d'identifier correctement que cet événement s'est produit est plus rémunéré que le fait d'identifier correctement qu'il ne s'est pas produit. Ce problème de décision induit une divergence entre deux qualités d'une décision : l'op

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Azize, Achraf. "Privacy-Utility Trade-offs in Sequential Decision-Making under Uncertainty." Electronic Thesis or Diss., Université de Lille (2022-....), 2024. http://www.theses.fr/2024ULILB029.

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Les thèmes abordés dans cette thèse visent à caractériser les compromis à réaliser entre confidentialité et utilité dans la prise de décision séquentielle dans l'incertain. Le principal cadre adopté pour définir la confidentialité est la protection différentielle, et le principal cadre d'utilité est le problème de bandit stochastique à plusieurs bras. Tout d'abord, nous proposons différentes définitions qui étendent la définition de confidentialité à l'environnement des bandits à plusieurs bras.Ensuite, nous quantifions la difficulté des bandits avec protection différentielle en prouvant des b

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Dash, Nicole. "Decision-making under extreme uncertainty: rethinking hazard related perceptions and action." FIU Digital Commons, 2002. http://digitalcommons.fiu.edu/etd/2737.

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Understanding who evacuates and who does not has been one of the cornerstones of research on the pre-impact phase of both natural and technological hazards. Its history is rich in descriptive illustrations focusing on lists of characteristics of those who flee to safety. Early models of evacuation focused almost exclusively on the relationship between whether warnings were heard and ultimately believed and evacuation behavior. How people came to believe these warnings and even how they interpreted the warnings were not incorporated. In fact, the individual seemed almost removed from the pictur

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Radke, Naomi [Verfasser], Marc [Akademischer Betreuer] Hanewinkel, and Klaus [Akademischer Betreuer] Keller. "Robust decision making for forest management under climate change and uncertainty." Freiburg : Universität, 2020. http://d-nb.info/1226656943/34.

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48

Laban, Joanne. "The influence of culture on decision making under risk and uncertainty." Thesis, University of Exeter, 2014. http://hdl.handle.net/10871/16052.

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I investigate how culture affects decision making under risk and uncertainty through three main strands - social networks, cultural norms and identity, and peer effects. Firstly, I investigate whether students from collectivist cultures form larger networks at university than students from individualist cultures and to what extent these networks are relied on for risk-sharing. Using an online survey, I find that students from collectivist cultures such as China form larger financial risk-sharing networks at university than students from individualist cultures such as Britain. In the financial

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Jouini, Wassim. "Contribution to learning and decision making under uncertainty for Cognitive Radio." Thesis, Supélec, 2012. http://www.theses.fr/2012SUPL0010/document.

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L’allocation des ressources spectrales à des services de communications sans fil, sans cesse plus nombreux et plus gourmands, a récemment mené la communauté radio à vouloir remettre en question la stratégie de répartition des bandes de fréquences imposée depuis plus d’un siècle. En effet une étude rendue publique en 2002 par la commission fédérale des communications aux Etats-Unis (Federal Communications Commission - FCC) mit en évidence une pénurie des ressources spectrales dans une large bande de fréquences comprise entre quelques mégahertz à plusieurs gigahertz. Cependant, cette même étude

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Duffin, Elaine. "Modelling decision making under uncertainty : machine learning and neural population techniques." Thesis, University of Leeds, 2015. http://etheses.whiterose.ac.uk/10156/.

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This thesis investigates mechanisms of human decision making, building on the fields of psychology and computational neuroscience. I focus on human decision making measured in a psychological task with probabilistic rewards. I examine the fit of different styles of computational models to human behaviour in the task. I show that my modification to reinforcement learning, using parameters based on whether the previous trial resulted in a win or a loss, is a better fit to behaviour than my Bayesian models. Considering the task from a machine learning perspective, with the goal of gaining as many

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