The Dispositional Model

2018 ◽  
pp. 193-220
Author(s):  
Noam Gur
Keyword(s):  
Decision Making ◽  
Virtue Ethics ◽  
Philosophy Of Action ◽  
Rule Based ◽  
Guise Of The Good ◽  
Normative Force ◽  
Additional Support ◽  
Theoretical Issues ◽  
Made In

This final chapter discusses further theoretical issues related to the dispositional model in an attempt to cast more light on the model and lend additional support to it. The chapter begins by considering how the dispositional model relates to a conception of rule-based decision-making, put forward by Frederick Schauer, which explains the normative force of rules in terms of a presumption (Section 9.1). The chapter subsequently discusses the dispositional model’s relationship with relevant themes in the philosophy of action and ethics, which include the distinction between state-given and object-given reasons (Section 9.2); the ‘guise of the good’ thesis (Section 9.3); and virtue ethics (Section 9.4). The chapter closes with general remarks on the observations made in the book (Section 9.5).

The United States and the Iranian Nuclear Programme

2018 ◽  
Author(s):  
Steven Hurst
Keyword(s):  
United States ◽  
Decision Making ◽  
Domestic Politics ◽  
The United States ◽  
Nixon Administration ◽  
Comprehensive Plan ◽  
The Us ◽  
Nuclear Issue ◽  
The Relationship

The United States, Iran and the Bomb provides the first comprehensive analysis of the US-Iranian nuclear relationship from its origins through to the signing of the Joint Comprehensive Plan of Action (JCPOA) in 2015. Starting with the Nixon administration in the 1970s, it analyses the policies of successive US administrations toward the Iranian nuclear programme. Emphasizing the centrality of domestic politics to decision-making on both sides, it offers both an explanation of the evolution of the relationship and a critique of successive US administrations' efforts to halt the Iranian nuclear programme, with neither coercive measures nor inducements effectively applied. The book further argues that factional politics inside Iran played a crucial role in Iranian nuclear decision-making and that American policy tended to reinforce the position of Iranian hardliners and undermine that of those who were prepared to compromise on the nuclear issue. In the final chapter it demonstrates how President Obama's alterations to American strategy, accompanied by shifts in Iranian domestic politics, finally brought about the signing of the JCPOA in 2015.

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

Conclusions

2018 ◽  
Author(s):  
Amy Strecker
Keyword(s):  
International Law ◽  
Eu Law ◽  
World Heritage Convention ◽  
State Practice ◽  
The World ◽  
State Obligations ◽  
Made In ◽  
Landscape Protection

The final chapter of this book advances four main conclusions on the role of international law in landscape protection. These relate to state obligations regarding landscape protection, the influence of the World Heritage Convention and the European Landscape Convention, the substantive and procedural nature of landscape rights, and the role of EU law. It is argued that, although state practice is lagging behind the normative developments made in the field of international landscape protection, landscape has contributed positively to the corpus of international cultural heritage law and indeed has emerged as a nascent field of international law in its own right.

Evidence-based Assessment

2010 ◽  
pp. 76-98
Author(s):  
John Hunsley ◽  
Eric J. Mash
Keyword(s):  
Decision Making ◽  
Clinical Assessment ◽  
Assessment Process ◽  
Evidence Based ◽  
The Past ◽  
Specific Assessment ◽  
The Many ◽  
Selection Of ◽  
Made In

Evidence-based assessment relies on research and theory to inform the selection of constructs to be assessed for a specific assessment purpose, the methods and measures to be used in the assessment, and the manner in which the assessment process unfolds. An evidence-based approach to clinical assessment necessitates the recognition that, even when evidence-based instruments are used, the assessment process is a decision-making task in which hypotheses must be iteratively formulated and tested. In this chapter, we review (a) the progress that has been made in developing an evidence-based approach to clinical assessment in the past decade and (b) the many challenges that lie ahead if clinical assessment is to be truly evidence-based.

scholarly journals Against management: Auto-critique

Organization ◽  
2021 ◽  
pp. 135050842110209
Author(s):  
Martin Parker
Keyword(s):  
Business School ◽  
Western Europe ◽  
Business Schools ◽  
The Uk ◽  
North Western ◽  
Made In ◽  
Highly Cited

In this review I consider the 20 years that have passed since the publication of my book Against Management. I begin by locating it in the context of the expanding business schools of the UK in the 1990s, and the growth of CMS in north western Europe. After positioning the book within its time, and noting that the book is now simultaneously highly cited and irrelevant, I then explore the arguments I made in the final chapter. If the book is of interest for the next two decades, it because it gestures towards the importance of alternative forms of organization, which I continue to maintain are not reducible to ‘management’. Given the intensifying crises of climate, ecology, inequality and democracy, developing alternatives must be understood as the historical task of CMS within the business school and I propose a ten-point manifesto in support of that commitment.

Transfer Reinforcement Learning for Autonomous Driving

2021 ◽  
Vol 31 (3) ◽  
pp. 1-26
Author(s):  
Aravind Balakrishnan ◽  
Jaeyoung Lee ◽  
Ashish Gaurav ◽  
Krzysztof Czarnecki ◽  
Sean Sedwards
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Transfer Problem ◽  
Autonomous Driving ◽  
High Fidelity ◽  
Rule Based ◽  
High Level ◽  
Real Vehicle

Reinforcement learning (RL) is an attractive way to implement high-level decision-making policies for autonomous driving, but learning directly from a real vehicle or a high-fidelity simulator is variously infeasible. We therefore consider the problem of transfer reinforcement learning and study how a policy learned in a simple environment using WiseMove can be transferred to our high-fidelity simulator, W ise M ove . WiseMove is a framework to study safety and other aspects of RL for autonomous driving. W ise M ove accurately reproduces the dynamics and software stack of our real vehicle. We find that the accurately modelled perception errors in W ise M ove contribute the most to the transfer problem. These errors, when even naively modelled in WiseMove , provide an RL policy that performs better in W ise M ove than a hand-crafted rule-based policy. Applying domain randomization to the environment in WiseMove yields an even better policy. The final RL policy reduces the failures due to perception errors from 10% to 2.75%. We also observe that the RL policy has significantly less reliance on velocity compared to the rule-based policy, having learned that its measurement is unreliable.

Multi-criteria Decision-making Applications Based on Set Valued Generalized Neutrosophic Quadruple Sets for Law

2021 ◽  
pp. 41-60
Author(s):  
Necmiye Merve Sahin ◽  
◽  
◽  
Merve Sena Uz
Keyword(s):  
Decision Making ◽  
Similarity Measure ◽  
Point Of View ◽  
Multi Criteria Decision Making ◽  
Legal Decisions ◽  
The Law ◽  
Made In

In this article, an algorithm has been introduced that enables judges to see the decisions that should be made in a way that is closest to the conscience and the law, without transferring the cases to the higher authorities, without anyone objecting to their decisions. This algorithm has been introduced depending on the generalized set-valued neutrosophic quadruple numbers and the Euclidean similarity measure in sets, what the decision is made by considering all the situations, regardless of which case the defendants come before the judge, how similar these decisions are to the legal decisions that should be made. In this way, we can easily see the decisions given to the accused in all kinds of cases, and we can arrange the decisions according to the similarity value. The closer the similarity value is to 1, the more correct the judge's decision from a legal point of view.

ACRIPPER: A New Associative Classification Based on RIPPER Algorithm

2021 ◽  
Vol 20 (01) ◽  
pp. 2150013
Author(s):  
Mohammed Abu-Arqoub ◽  
Wael Hadi ◽  
Abdelraouf Ishtaiwi
Keyword(s):  
Decision Making ◽  
Class Imbalance ◽  
The Other ◽  
Associative Classification ◽  
Rule Based ◽  
New Approach ◽  
New Novel ◽  
Accuracy Measure ◽  
High Level ◽  
Substantial Interest

Associative Classification (AC) classifiers are of substantial interest due to their ability to be utilised for mining vast sets of rules. However, researchers over the decades have shown that a large number of these mined rules are trivial, irrelevant, redundant, and sometimes harmful, as they can cause decision-making bias. Accordingly, in our paper, we address these challenges and propose a new novel AC approach based on the RIPPER algorithm, which we refer to as ACRIPPER. Our new approach combines the strength of the RIPPER algorithm with the classical AC method, in order to achieve: (1) a reduction in the number of rules being mined, especially those rules that are largely insignificant; (2) a high level of integration among the confidence and support of the rules on one hand and the class imbalance level in the prediction phase on the other hand. Our experimental results, using 20 different well-known datasets, reveal that the proposed ACRIPPER significantly outperforms the well-known rule-based algorithms RIPPER and J48. Moreover, ACRIPPER significantly outperforms the current AC-based algorithms CBA, CMAR, ECBA, FACA, and ACPRISM. Finally, ACRIPPER is found to achieve the best average and ranking on the accuracy measure.

scholarly journals “It’s Not Just a Simple Meal. It’s So Much More”: Interactions Between Meals on Wheels Clients and Drivers

2018 ◽  
Vol 39 (2) ◽  
pp. 151-158 ◽  
Author(s):  
Kali S. Thomas ◽  
Emily A. Gadbois ◽  
Renee R. Shield ◽  
Ucheoma Akobundu ◽  
Andrea M. Morris ◽  
...  
Keyword(s):  
The United States ◽  
Case Managers ◽  
Qualitative Research Study ◽  
Personal Benefit ◽  
Meals On Wheels ◽  
Clear Insight ◽  
Additional Support ◽  
Insight Into ◽  
Made In ◽  
Meal Delivery

Background and Objectives: Meals on Wheels (MOW) programs provide home-delivered meals to over 1.5 million older adults; yet, very little is known about the drivers who make meal deliveries possible. Specifically, we do not have clear insight into their interaction with clients or the benefits that they may receive through their service. The objective of this article is to describe the characteristics of MOW drivers, the interactions among drivers and clients, and the benefits of the program to both. Research Design and Method: This qualitative research study reports on interviews with 84 MOW staff (leadership, case managers/client assessors, volunteer coordinators) and drivers at six geographically and operationally distinct programs across the United States. Results: Qualitative analysis of the interviews with MOW staff and drivers revealed the following key themes: (a) clients have multiple vulnerabilities; (b) clients appear to derive social, as well as nutritional benefit from receiving meals; (c) drivers report they provide additional support to their clients beyond delivering the meal; (d) social bonds between drivers and clients were reported to strengthen over time; (e) drivers claim that they, too, derive validation and personal benefit through their meal delivery. Discussion and Implications: This research highlights the significant contributions that meal delivery drivers made in the lives of MOW clients beyond the actual meal itself. This research also spotlights the perceived benefits experienced by the drivers and points to the importance of conducting further research to determine the effects of meal delivery on client and drivers’ outcomes, more broadly.

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