scholarly journals Modeling Ethical and Operational Preferences in Automated Driving Systems

2021 ◽  
Author(s):  
William N. Caballero ◽  
Roi Naveiro ◽  
David Ríos Insua
Keyword(s):  
Decision Making ◽  
Public Perception ◽  
Central Component ◽  
Multiattribute Utility ◽  
Automated Driving ◽  
Ethical Perspective ◽  
Ethical Concerns ◽  
Strategic Trade ◽  
Management Objectives ◽  
Trade Offs

Whereas automated driving technology has made tremendous gains in the last decade, significant questions remain regarding its integration into society. Given its revolutionary nature, the use of automated driving systems (ADSs) is accompanied by myriad novel quandaries relating to both operational and ethical concerns that are relevant to numerous stakeholders (e.g., governments, manufacturers, and passengers). When considering any such problem, the ADS’s decision-making calculus is always a central component. This is true for concerns about public perception and trust to others regarding explainability and legal certainty. Therefore, in this manuscript, we set forth a general decision-analytic framework tailorable to multitudinous stakeholders. More specifically, we develop and validate a generic tree of ADS management objectives, explore potential attributes for their measurement, and provide multiattribute utility functions for implementation. Given the contention surrounding numerous ethical concerns in ADS operations, we explore how each of the aforementioned components can be tailored in accordance with the stakeholder’s desired ethical perspective. A simulation environment is developed upon which our framework is tested. Within this environment we illustrate how our approach can be leveraged by stakeholders to make strategic trade-offs regarding ADS behavior and to inform policymaking efforts. In so doing, our framework is demonstrated as a practical, tractable, and transparent means of modeling ADS decision making.

scholarly journals Strategic management decision-making in a complex world: quantifying, understanding, and using trade-offs

2015 ◽  
Vol 74 (2) ◽  
pp. 499-510 ◽  
Author(s):  
André E. Punt
Keyword(s):  
Decision Making ◽  
Management Strategies ◽  
Single Species ◽  
Decision Makers ◽  
Strategic Decision ◽  
Management Decision ◽  
Management Objectives ◽  
Trade Offs ◽  
States Of Nature ◽  
Strategic Advice

The use of management strategy evaluation (MSE) techniques to inform strategic decision-making is now standard in fisheries management. The technical aspects of MSE, including how to design operating models that represent the managed system and how to simulate future use of management strategies, are well understood and can be readily applied, especially for single-species fisheries. However, MSE evaluations seldom identify strategies that will satisfy all the objectives of decision-makers simultaneously, i.e. each strategy will achieve a different trade-off among the objectives. This study illustrates the basis for identifying management objectives and representing them mathematically using performance measures, as well as how trade-offs among management objectives have been displayed to various audiences who provide input into decision-making. Approaches and experiences are illustrated using case studies. Examples highlight the wide variety of objectives that can be considered using MSE, but that traditional single-species considerations continue to dominate the information provided to decision-makers. The desirability and consequences of having minimum acceptable standards of performance for management strategies, as well as difficulties assigning plausibility ranks to alternative states of nature, are found to be among the major challenges to effective provision of strategic advice on trade-offs among management strategies.

What do new neuroscience discoveries in children mean for their open future?

2017 ◽  
Author(s):  
Cheryl D. Lew
Keyword(s):  
Decision Making ◽  
Moral Agency ◽  
Structural Changes ◽  
Fetal Life ◽  
Open Future ◽  
Ethical Concerns ◽  
Pediatric Ethics ◽  
Pediatric Decision Making ◽  
New Research ◽  
Pediatric Healthcare

Over the last decade, the number of neuroimaging and other neuroscience studies on the developing brain from fetal life through adolescence has increased exponentially. Children are viewed as particularly vulnerable members of our society and observations of significant neural structural changes associated with behavioral anomalies raise numerous ethical concerns around personal identity, free will, and the possibility of an open future. This chapter provides a review of recent research in the pediatric neuroscience literature, common pediatric decision-making, and social justice models, and discusses the implications of this research for the future of pediatric ethics thinking and policy. New research presents challenges to professional and pediatric bioethicist views of the moral future of children in pediatric healthcare and opportunities to examine anew notions of how to consider the developing moral agency of children.

Renewable energy selection based on a new entropy and dissimilarity measure on an interval-valued neutrosophic set

2021 ◽  
pp. 1-18
Author(s):  
ShuoYan Chou ◽  
Truong ThiThuy Duong ◽  
Nguyen Xuan Thao
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Membership Function ◽  
Fossil Fuels ◽  
Multiple Criteria Decision Making ◽  
Clean Energy ◽  
Dissimilarity Measure ◽  
Neutrosophic Set ◽  
Trade Offs ◽  
And Performance

Energy plays a central part in economic development, yet alongside fossil fuels bring vast environmental impact. In recent years, renewable energy has gradually become a viable source for clean energy to alleviate and decouple with a negative connotation. Different types of renewable energy are not without trade-offs beyond costs and performance. Multiple-criteria decision-making (MCDM) has become one of the most prominent tools in making decisions with multiple conflicting criteria existing in many complex real-world problems. Information obtained for decision making may be ambiguous or uncertain. Neutrosophic is an extension of fuzzy set types with three membership functions: truth membership function, falsity membership function and indeterminacy membership function. It is a useful tool when dealing with uncertainty issues. Entropy measures the uncertainty of information under neutrosophic circumstances which can be used to identify the weights of criteria in MCDM model. Meanwhile, the dissimilarity measure is useful in dealing with the ranking of alternatives in term of distance. This article proposes to build a new entropy and dissimilarity measure as well as to construct a novel MCDM model based on them to improve the inclusiveness of the perspectives for decision making. In this paper, we also give out a case study of using this model through the process of a renewable energy selection scenario in Taiwan performed and assessed.

Understanding trade-offs and synergies of ecosystem services to support the decision-making in the Beijing–Tianjin–Hebei region

2021 ◽  
Vol 106 ◽  
pp. 105446
Author(s):  
Zhe Feng ◽  
Xueru Jin ◽  
Tianqian Chen ◽  
Jiansheng Wu
Keyword(s):  
Decision Making ◽  
Ecosystem Services ◽  
Trade Offs

scholarly journals Using Deliberative Democracy for Better Urban Decision-Making through Integrative Thinking

Urban Science ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 3
Author(s):  
Janette Hartz-Karp ◽  
Dora Marinova
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Deliberative Democracy ◽  
Decision Makers ◽  
Capital City ◽  
City Region ◽  
Multiple Sources ◽  
Trade Offs ◽  
Urban Issues ◽  
Sustainability Challenges

This article expands the evidence about integrative thinking by analyzing two case studies that applied the collaborative decision-making method of deliberative democracy which encourages representative, deliberative and influential public participation. The four-year case studies took place in Western Australia, (1) in the capital city Perth and surrounds, and (2) in the city-region of Greater Geraldton. Both aimed at resolving complex and wicked urban sustainability challenges as they arose. The analysis suggests that a new way of thinking, namely integrative thinking, emerged during the deliberations to produce operative outcomes for decision-makers. Building on theory and research demonstrating that deliberative designs lead to improved reasoning about complex issues, the two case studies show that through discourse based on deliberative norms, participants developed different mindsets, remaining open-minded, intuitive and representative of ordinary people’s basic common sense. This spontaneous appearance of integrative thinking enabled sound decision-making about complex and wicked sustainability-related urban issues. In both case studies, the participants exhibited all characteristics of integrative thinking to produce outcomes for decision-makers: salience—grasping the problems’ multiple aspects; causality—identifying multiple sources of impacts; sequencing—keeping the whole in view while focusing on specific aspects; and resolution—discovering novel ways that avoided bad choice trade-offs.

scholarly journals A Multicriteria Decision Model for Assessment of Failure Consequences in the RCM Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Marcelo H. Alencar ◽  
Adiel T. de Almeida
Keyword(s):  
Failure Mode ◽  
Decision Model ◽  
Probability Distributions ◽  
Maintenance Planning ◽  
Multiattribute Utility ◽  
Five Dimensions ◽  
Multicriteria Decision ◽  
Reliability Centered Maintenance ◽  
Trade Offs ◽  
And Behavior

This paper proposes a multicriteria decision model based on MAUT (Multiattribute Utility Theory) incorporated into an RCM (Reliability Centered Maintenance) approach in order to provide a better assessment of the consequences of failure, allowing a more effective maintenance planning. MAUT provides an evaluation of probability distributions on each attribute as well as trade-offs involving lotteries. The model proposed takes advantage of such evaluations and it also restructures consequence groups established in an RCM approach into new five dimensions. As a result, overall indices of utility are computed for each failure mode analyzed. With these values, the ranking of the alternatives is established. The decision-maker’s preferences are taken into account so that the final result for each failure mode incorporates subjective aspects based on the decision-maker’s perceptions and behavior.

Dynamics of Trust in Automation and Interactive Decision Making during Driving Simulation Tasks

2021 ◽  
Vol 65 (1) ◽  
pp. 786-790
Author(s):  
Lucero Rodriguez Rodriguez ◽  
Carlos Bustamante Orellana ◽  
Jayci Landfair ◽  
Corey Magaldino ◽  
Mustafa Demir ◽  
...  
Keyword(s):  
Decision Making ◽  
Automated System ◽  
Automated Driving ◽  
Safety And Efficacy ◽  
High Performing ◽  
Interactive Decision Making ◽  
Driving Task ◽  
Preliminary Study ◽  
Self Driving Cars ◽  
The Impact

As technological advancements and lowered costs make self-driving cars available to more people, it becomes important to understand the dynamics of human-automation interactions for safety and efficacy. We used a dynamical approach to examine data from a previous study on simulated driving with an automated driving assistant. To maximize effect size in this preliminary study, we focused the current analysis on the two lowest and two highest-performing participants. Our visual comparisons were the utilization of the automated system and the impact of perturbations. Low-performing participants toggled and maintained reliance either on automation or themselves for longer periods of time. Decision making of high-performing participants was using the automation briefly and consistently throughout the driving task. Participants who displayed an early understanding of automation capabilities opted for tactical use. Further exploration of individual differences and automation usage styles will help to understand the optimal human-automation-team dynamic and increase safety and efficacy.

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