Utility Elicitation

González‐Ortega, Jorge; Radović, Vesela; Insua, David Rı́os

doi:10.1007/978-3-319-65052-4_10

Cited by 14 publications

(8 citation statements)

References 29 publications

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“…Eliciting an appropriate cost function for humans is a difficult task [ 29 ]. In this study, as a first step, we create the cost function based on the student’s stated pairwise preferences, e.g., Reference [ 30 ].…”

Section: Applying Swopp In the Classroommentioning

confidence: 99%

Supervisor-Worker Problems with an Application in Education

Shmaryahu

Gal

Shani

2021

Sensors

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In many e-learning settings, allowing students to choose which skills to practice encourages their motivation and contributes to learning. However, when given choice, students may prefer to practice skills that they already master, rather than practice skills they need to master. On the other hand, requiring students only to practice their required skills may reduce their motivation and lead to dropout. In this paper, we model this tradeoff as a multi-agent planning task, which we call SWOPP (Supervisor- Worker Problem with Partially Overlapping goals), involving two agents—a supervisor (teacher) and a worker (student)—each with different, yet non-conflicting, goals. The supervisor and worker share joint goals (mastering skills). The worker plans to achieve his/her own goals (completing an e-learning session) at a minimal cost (effort required to solve problems). The supervisor guides the worker towards achieving the joint goals by controlling the problems in the choice set for the worker. We provide a formal model for the SWOPP task and two sound and complete algorithms for the supervisor to guide the worker’s plan to achieve their joint goals. We deploy SWOPP for the first time in a real-world study to personalize math questions for K5 students using an e-learning software in schools. We show that SWOPP was able to guide students’ interactions with the software to practice necessary skills without deterring their motivation.

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Section: Applying Swopp In the Classroommentioning

confidence: 99%

Supervisor-Worker Problems with an Application in Education

Shmaryahu

Gal

Shani

2021

Sensors

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“…We typically use continuous distributions assessed based on quantiles obtained from experts. We then aggregate various impacts through a multi-attribute utility function, if we need to cater for risk attitudes, González-Ortega et al (2018).…”

Section: A Framework For Sccrmmentioning

confidence: 99%

Structured Expert Judgement Issues in a Supply Chain Cyber Risk Management System

Torres–Barrán

Redondo

Insua

et al. 2021

International Series in Operations Research &Amp; Management Science

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The escalation of cyber threats is a major problem for supply chain managers with potentially enormous impacts affecting service availability and reputation, among other performance indicators. We sketch a framework and system to support supply chain cyber risk management. As data regarding impacts of cyber attacks are scarce and difficult to obtain, we describe how we acquire the required operational parameters through structured expert judgement techniques. We then describe how the whole framework is set up and implemented.

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“…We describe now how we incorporate information about the security environment and posture of the supplier and the company within the attack probabilities. Essentially, we introduce indices for the corresponding variables through multicriteria value functions (González-Ortega et al, 2018) and then apply the approach in Section 2.1 to extract the required coefficients.…”

Section: Taking Into Account the Security Environment And Posturementioning

confidence: 99%

“…To cater for the company's risk attitude, we may use a constant risk averse utility model (González-Ortega et al, 2018),…”

Section: Aggregating Impactsmentioning

confidence: 99%

Assessing Supply Chain Cyber Risks

Redondo,

Torres-Barrán,

Insua

et al. 2019

Preprint

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Risk assessment is a major challenge for supply chain managers, as it potentially affects business factors such as service costs, supplier competition and customer expectations. The increasing interconnectivity between organisations has put into focus methods for supply chain cyber risk management. We introduce a general approach to support such activity taking into account various techniques of attacking an organisation and its suppliers, as well as the impacts of such attacks. Since data is lacking in many respects, we use structured expert judgment methods to facilitate its implementation. We couple a family of forecasting models to enrich risk monitoring. The approach may be used to set up risk alarms, negotiate service level agreements, rank suppliers and identify insurance needs, among other management possibilities.

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Utility Elicitation

Cited by 14 publications

References 29 publications

Supervisor-Worker Problems with an Application in Education

Supervisor-Worker Problems with an Application in Education

Structured Expert Judgement Issues in a Supply Chain Cyber Risk Management System

Assessing Supply Chain Cyber Risks

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