scholarly journals Optimal Off-line Experimentation for Games

2020 ◽  
Vol 17 (4) ◽  
pp. 277-298
Author(s):  
Theodore T. Allen ◽  
Olivia K. Hernandez ◽  
Abdullah Alomair

Many business situations can be called “games” because outcomes depend on multiple decision makers with differing objectives. Yet, in many cases, the payoffs for all combinations of player options are not available, but the ability to experiment off-line is available. For example, war-gaming exercises, test marketing, cyber-range activities, and many types of simulations can all be viewed as off-line gaming-related experimentation. We address the decision problem of planning and analyzing off-line experimentation for games with an initial procedure seeking to minimize the errors in payoff estimates. Then, we provide a sequential algorithm with reduced selections from option combinations that are irrelevant to evaluating candidate Nash, correlated, cumulative prospect theory or other equilibria. We also provide an efficient formula to estimate the chance that given Nash equilibria exists, provide convergence guarantees relating to general equilibria, and provide a stopping criterion called the estimated expected value of perfect off-line information (EEVPOI). The EEVPOI is based on bounded gains in expected utility from further off-line experimentation. An example of using a simulation model to illustrate all the proposed methods is provided based on a cyber security capture-the-flag game. The example demonstrates that the proposed methods enable substantial reductions in both the number of test runs (half) compared with a full factorial and the computational time for the stopping criterion.

2015 ◽  
Vol 3 (5) ◽  
pp. 472-480
Author(s):  
Huainian Zhu ◽  
Guangyu Zhang ◽  
Chengke Zhang ◽  
Ying Zhu ◽  
Haiying Zhou

AbstractThis paper discusses linear quadratic Nash game of stochastic singular time-delay systems governed by Itô’s differential equation. Sufficient condition for the existence of Nash strategies is given by means of linear matrix inequality for the first time. Moreover, in order to demonstrate the usefulness of the proposed theory, stochastic H2∕H∞control with multiple decision makers is discussed as an immediate application.


2021 ◽  
Vol 13 (12) ◽  
pp. 6752
Author(s):  
Idiano D’Adamo ◽  
Rocío González-Sánchez ◽  
Maria Sonia Medina-Salgado ◽  
Davide Settembre-Blundo

The pandemic has changed the citizens’ behavior, inducing them to avoid any real contact. This has given an incredible impulse to e-commerce; however, the complexity of the topic has not yet been adequately explored in the literature. To fill this gap, this study has a twofold purpose: (1) to investigate how European countries comparatively perform in e-commerce, and (2) to describe what are the most important challenges for the further expansion of e-commerce. To this end, we adopted a hybrid methodology based on multi-criteria decision analysis (MCDA) and a Likert scale survey. The first method allows to us rank the e-commerce performance of different European countries, while the second one looks at the problems and barriers that characterize online shopping. The results of the study show that European countries have different sensitivities to the issue of cyber-security, and among them it is possible to identify three groups with different levels of attention to the critical issues of e-commerce. The Netherlands, Sweden and Denmark belong to the group of countries most responsive to e-commerce. This request is part of a broader framework of transition toward sustainable development, i.e., a reliable digital environment where citizens and businesses can exercise their rights and freedoms in complete security. Finally, from a theoretical perspective, this paper adds a new baseline to the literature on the state of the art of e-commerce in Europe that addresses the effects of the pandemic. From a managerial point of view, decision makers can find in the results of this analysis a support for the setting of business strategies for the expansion of firms in certain markets and guidance for public authorities when defining regulatory policies for e-commerce.


2015 ◽  
Vol 713-715 ◽  
pp. 1769-1772
Author(s):  
Jie Wu ◽  
Lei Na Zheng ◽  
Tie Jun Pan

In order to reflect the decision-making more scientific and democratic, modern decision problems often require the participation of multiple decision makers. In group decision making process,require the use of intuitionistic fuzzy hybrid averaging operator (IFHA) to get the final decision result.


Author(s):  
Wolter Pieters ◽  
Christian W. Probst ◽  
Zofia Lukszo ◽  
Lorena Montoya

Recently, cyber security has become an important topic on the agenda of many organisations. It is already widely acknowledged that attacks do happen, and decision makers face the problem of how to respond. As it is almost impossible to secure a complex system completely, it is important to have an adequate estimate of the effectiveness of security measures when making investment decisions. Risk concepts are known in principle, but estimating the effectiveness of countermeasure proves to be difficult and cannot be achieved by qualitative approaches only. In this chapter, the authors consider the question of how to guarantee cost-effectiveness of security measures. They investigate the possibility of using existing frameworks and tools, the challenges in a security context as opposed to a safety context, and directions for future research.


Author(s):  
Bil Hallaq ◽  
Andrew Nicholson ◽  
Richard Smith ◽  
Leandros Maglaras ◽  
Helge Janicke ◽  
...  

Cyber Security of ICS/SCADA systems is a major aspect of current research focus. Cyber Ranges and Test-beds can serve as means of vulnerability and threat analysis of real SCADA systems with low costs. Significantly lacking from current research, is detailed documentation of the decision process and the potential difficulties that need to be considered when undertaking the creation of a Cyber Range (CR) in order to facilitate the capture of labelled datasets which is included in this paper. This paper makes several further contributions; a review of Cyber Ranges created by Academic Institutions that influenced the criteria in creating CYRAN, the De Montfort University CYber RANge. The article presents the design implementation, the process of creating effective rules of engagement, the management and running of a Cyber Range Event (CRE) with partners from Industry and Academia and the creation of labelled datasets.


2020 ◽  
pp. JOP.19.00608
Author(s):  
Andrew Hantel ◽  
Fay J. Hlubocky ◽  
Mark Siegler ◽  
Christopher K. Daugherty

PURPOSE: Medication shortages in US hospitals are ongoing, widespread, and frequently involve antineoplastic and supportive medications used in cancer care. The ways shortages are managed and the ways provider-patient communication takes place are heterogeneous, but the related preferences of oncology patients are undefined. This study sought to qualitatively evaluate patient preferences. METHODS: A cross-sectional, semi-structured interview study was conducted from January to June 2019. Participants were adult oncology inpatients who received primary cancer care at the University of Chicago, had undergone treatment within 2 years, and had 1 or more previous hospitalizations during that period. Participants (n = 54) were selected consecutively from alternating hematology and oncology services. The primary outcome was thematic saturation across the domains of awareness of medication shortages, principle preferences regarding decision makers, preferences regarding allocation of therapy drugs, and allocation-related communication. RESULTS: Thematic saturation was reached after 39 participants completed the study procedures (mean age, 59.6 years [standard deviation, 14.5 years]; men made up 61.5% of the study population [mean age, 24 years]; response rate, 72.0%). In all, 18% of participants were aware of institutional medication shortages. Patients preferred having multiple decision makers for allocating medications in the event of a shortage. A majority of patients named oncologists (100%), ethicists (92%), non-oncology physicians (77%), and pharmacists (64%) as their preferred decision makers. Participants favored allocation of drugs based on their efficacy (normalized weighted average, 1.3), and they also favored prioritizing people who were already receiving treatment (1.8), younger patients (2.0), sicker patients (3.1), and those presenting first for treatment (5.3). Most participants preferred preferred disclosure of supportive care medication shortages (74%) and antineoplastic medication shortages (79%) for equivalent substitutions. CONCLUSION: In a tertiary-care center with medication shortages, few oncologic inpatients were aware of shortages. Participants preferred having multiple decision makers involved in principle-driven allocation of scarce medications. Disclosure was preferred when their usual medications needed to be substituted with equivalent alternatives. These preliminary data suggest that preferences do not align with current management practices for medication shortages.


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