The right tool for the job? Comparing an evidence accumulation and a naive strategy selection model of decision making

2010 ◽  
Vol 24 (5) ◽  
pp. 456-481 ◽  
Author(s):  
Ben R. Newell ◽  
Michael D. Lee
2000 ◽  
Vol 5 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Ronny Swain

The paper describes the development of the 1998 revision of the Psychological Society of Ireland's Code of Professional Ethics. The Code incorporates the European Meta-Code of Ethics and an ethical decision-making procedure borrowed from the Canadian Psychological Association. An example using the procedure is presented. To aid decision making, a classification of different kinds of stakeholder (i.e., interested party) affected by ethical decisions is offered. The author contends (1) that psychologists should assert the right, which is an important aspect of professional autonomy, to make discretionary judgments, (2) that to be justified in doing so they need to educate themselves in sound and deliberative judgment, and (3) that the process is facilitated by a code such as the Irish one, which emphasizes ethical awareness and decision making. The need for awareness and judgment is underlined by the variability in the ethical codes of different organizations and different European states: in such a context, codes should be used as broad yardsticks, rather than precise templates.


2018 ◽  
Vol 9 (1) ◽  
pp. 59-66
Author(s):  
Zsuzsanna Gödör ◽  
Georgina Szabó

Abstract As they say, money can’t buy happiness. However, the lack of it can make people’s lives much harder. From the moment we open our first bank account, we have to make lots of financial decisions in our life. Should I save some money or should I spend it? Is it a good idea to ask for a loan? How to invest my money? When we make such decisions, unfortunately we sometimes make mistakes, too. In this study, we selected seven common decision making biases - anchoring and adjustment, overconfidence, high optimism, the law of small numbers, framing effect, disposition effect and gambler’s fallacy – and tested them on the Hungarian population via an online survey. In the focus of our study was the question whether the presence of economic knowledge helps people make better decisions? The decision making biases found in literature mostly appeared in the sample as well. It proves that people do apply them when making decisions and in certain cases this could result in serious and costly errors. That’s why it would be absolutely important for people to learn about them, thus increasing their awareness and attention when making decisions. Furthermore, in our research we did find some connection between decisions and the knowledge of economics, people with some knowledge of economics opted for the better solution in bigger proportion


1993 ◽  
Vol 3 ◽  
pp. 33-49
Author(s):  
Sebastian (Nello) Raciti

Parents have the right to participate in the educational planning for their child with a disability, however they often need assistance when interacting with professionals to ensure the best programs for their children. Professionals also require guidelines and opportunities to develop appropriate communication skills when interacting with other professionals and parents. This paper investigates the level of participatory decision-making which exists between parents and professionals, and professionals amongst themselves. The present thrust for including children with a disability in mainstream schools is used as the contextual setting for this investigation. Furthermore, the author presents an intervention plan based on the Collaborative Consultation Model to enhance the participatory decision-making skills of parents and professionals at the local school level.


2020 ◽  
Vol 11 (1) ◽  
pp. 18-50 ◽  
Author(s):  
Maja BRKAN ◽  
Grégory BONNET

Understanding of the causes and correlations for algorithmic decisions is currently one of the major challenges of computer science, addressed under an umbrella term “explainable AI (XAI)”. Being able to explain an AI-based system may help to make algorithmic decisions more satisfying and acceptable, to better control and update AI-based systems in case of failure, to build more accurate models, and to discover new knowledge directly or indirectly. On the legal side, the question whether the General Data Protection Regulation (GDPR) provides data subjects with the right to explanation in case of automated decision-making has equally been the subject of a heated doctrinal debate. While arguing that the right to explanation in the GDPR should be a result of interpretative analysis of several GDPR provisions jointly, the authors move this debate forward by discussing the technical and legal feasibility of the explanation of algorithmic decisions. Legal limits, in particular the secrecy of algorithms, as well as technical obstacles could potentially obstruct the practical implementation of this right. By adopting an interdisciplinary approach, the authors explore not only whether it is possible to translate the EU legal requirements for an explanation into the actual machine learning decision-making, but also whether those limitations can shape the way the legal right is used in practice.


Synthese ◽  
2021 ◽  
Author(s):  
Ellen Fridland

AbstractThis paper provides an account of the strategic control involved in skilled action. When I discuss strategic control, I have in mind the practical goals, plans, and strategies that skilled agents use in order to specify, structure, and organize their skilled actions, which they have learned through practice. The idea is that skilled agents are better than novices not only at implementing the intentions that they have but also at forming the right intentions. More specifically, skilled agents are able formulate and modify, adjust and adapt their practical intentions in ways that are appropriate, effective, and flexible given their overall goals. Further, to specify the kind of action plans that are involved in strategic control, I’ll rely on empirical evidence concerning mental practice and mental imagery from sports psychology as well as evidence highlighting the systematic differences in the cognitive representations of skills between experts and non-experts. I’ll claim that, together, this evidence suggests that the intentions that structure skilled actions are practical and not theoretical, that is, that they are perceptual and motor and not abstract, amodal, or linguistic. Importantly, despite their grounded nature, these plans are still personal-level, deliberate, rational states. That is, the practical intentions used to specify and structure skilled actions are best conceived of as higher-order, motor-modal structures, which can be manipulated and used by the agent for the purpose of reasoning, deliberation, decision-making and, of course, the actual online structuring and organizing of action.


Author(s):  
Paul Muleli Kioko ◽  
Pablo Requena Meana

Abstract Shared Decision-Making is a widely accepted model of the physician–patient relationship providing an ethical environment in which physician beneficence and patient autonomy are respected. It acknowledges the moral responsibility of physician and patient by promoting a deliberative collaboration in which their individual expertise—complementary in nature, equal in importance—is emphasized, and personal values and preferences respected. Its goal coincides with Pellegrino and Thomasma’s proximate end of medicine, that is, a technically correct and morally good healing decision for and with a particular patient. We argue that by perfecting the intellectual ability to apprehend the complexity of clinical situations, and through a perfection of the application of the first principles of practical reason, prudence is able to point toward the right and good shared medical decision. A prudent shared medical decision is therefore always in keeping with the kind of person the physician and the patient have chosen to be.


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