Market crises amplify fear, disrupting rational decision-making of stock investment. This study examines the relationship between investors’ information priorities—such as intuition, company performance, technical analysis, and other factors—and their fear responses (freeze, flight, and hiding) during market crashes. Using the Bayesian Mindsponge Framework (BMF) to analyze data from 1,526 investors in China and Vietnam, the findings reveal complex dynamics. We found positive associations between investors’ prioritization of social influence and intuition for investment decision-making with being freeze (i.e., not (...) knowing what to do with the owned stock), between prioritization of professionals’ evaluation and intuition with fleeing (i.e. giving up stock investment permanently), and between prioritization of professionals’ evaluation and social influence with hiding (i.e., stopping investing in stock for a while). In contrast, prioritization of companies’ performance metrics (e.g., net profit, debt, etc.) was negatively associated with being freeze, fleeing, and hiding. Meanwhile, prioritization of professionals’ evaluation, technical analysis, and liquidity was negatively associated with being freeze, fleeing, and hiding, respectively. The study highlights the importance of disseminating transparent, accurate information through government and media channels, along with implementing financial education programs, to promote rational investment decisions and reduce fear-driven behaviors. (shrink)

"ACT Administrative Appeals Tribunal Decisions." Ethos: Official Publication of the Law Society of the Australian Capital Territory, (200), pp. 42.

Recently, Yudkowsky and Soares (2018) and Levinstein and Soares (2020) have developed a novel decision theory, Functional Decision Theory (FDT). They claim FDT outperforms both Evidential Decision Theory (EDT) and Causal Decision Theory (CDT). Yet FDT faces several challenges. First, it yields some very counterintuitive results (Schwarz 2018; MacAskill 2019). Second, it requires a theory of counterpossibles, for which even Yudkowsky and Soares (2018) and Levinstein and Soares (2020) admit we lack a “full” or “satisfactory” account. (...) Here, I focus on the latter problem of counterpossibles. My aim is to establish two claims. First, the problem of counterpossibles does not even arise without a fairly strong assumptionone that rarely applies to human agents, but may apply to artificial agents. And second, even given this assumption, the problem is solvable, though how best to solve it remains an open question. (shrink)

I argue that partialist critics of deontological theories make a mistake similar to one made by critics of utilitarianism: they fail to distinguish between a theory’s decision procedure and its standard of rightness. That is, they take these deontological theories to be offering a method for moral deliberation when they are in fact offering justificatory arguments for moral principles. And while deontologists, like utilitarians do incorporate impartiality into their justifications for basic principles, many do not require that agents utilize (...) impartial methods of moral deliberation. It follows that insofar as partialists reject impartiality in deliberation, their criticisms may miss their mark. If however, partialists are opposed to justifications for basic principles that rely upon impartiality, they are committed, I argue, to drastic revisions in moral theory that have worrisome implications. (shrink)

It is a commonplace that in making decisions agents often have to juggle competing values, and that no choice will maximise satisfaction of them all. However, the prevailing account of these cases assumes that there is always a single ranking of the agent's values, and therefore no unresolvable conflict between them. Isaac Levi denies this assumption, arguing that agents often must choose without having balanced their different values and that to be rational, an act does not have to be optimal, (...) only what Levi terms 'admissible'. This book explores the consequences of denying the assumption and develops a general approach to decision-making under unresolved conflict. Professor Levi discusses conflicts of value in several domains - those arising in moral dilemmas, the drawing of scientific inferences, decisions taken under uncertainty, and in social choice. In each of these he adapts his theoretical framework, showing how conflict may often be reduced though not always altogether eliminated. (shrink)

A cornerstone of economic theory is that rational agents are self-interested, yet a decade of research in experimental economics has shown that economic decisions are frequently driven by concerns for fairness, equity, and reciprocity. One aspect of other-regarding behavior that has garnered attention is noblesse oblige, a social norm that obligates those of higher status to be generous in their dealings with those of lower status. The results of a cross-cultural study are reported in which marked noblesse oblige was observed (...) on a reciprocal-contract decision-making task. Participants from seven countries that vary along hierarchical and individualist/collectivist social dimensions were more tolerant of non-reciprocation when they adopted a high-ranking perspective compared with a low-ranking perspective. (shrink)

This paper will examine the effects of gender, age, work experience, academic status and legality on certain ethical decisions. Six scenarios representing ethical dilemmas were presented to both undergraduate and MBA students in an attempt to determine if various demographic factors influenced ethical decision making. While some past studies have suggested that gender has an important effect on ethical decision making, this study does not completely support this conclusion and suggests that age and/or length of work experience should (...) be included in any study of ethical decision making.The legality of the decisions was determined and compared to the reason given by the students for their decisions. In some cases the choice made by a majority of the students was not the one that was supported by the legal authorities which suggests that there may be conflicts between the ethical system of the respondents and the behavior expected of them by society. (shrink)

Recently, bioethicists and the UNCRPD have advocated for supported medical decision-making on behalf of patients with intellectual disabilities. But what does supported decision-making really entail? One compelling framework is Anita Silvers and Leslie Francis’ mental prosthesis account, which envisions supported decision-making as a process in which trustees act as mere appendages for the patient’s will; the trustee provides the cognitive tools the patient requires to realize her conception of her own good. We argue that supported decision-making (...) would be better understood as a collaborative process, giving patients with intellectual disabilities the opportunity to make decisions in a respectful relationship with trusted others. We offer an alternative account of supported decision-making where the primary constraint is to protect the patient from domination by the trustee. This is advantageous in its preservation of the prospects for genuine collaboration, for the mental prosthesis approach ultimately reinforces a problematic ideal of isolated patient self-determination. (shrink)

The stakes associated with an algorithmic decision are often said to play a role in determining whether the decision engenders a right to an explanation. More specifically, “high stakes” decisions are often said to engender such a right to explanation whereas “low stakes” or “non-high” stakes decisions do not. While the overall gist of these ideas is clear enough, the details are lacking. In this paper, we aim to provide these details through a detailed investigation of what we (...) will call the “Simple Stakes Thesis”. The Simple Stakes Thesis, as it will turn out, is too simple. For even if the stakes associated with a specific one-off decision are low—and hence does not engender a right to an explanation—such decisions may nevertheless form part of a high stakes pattern or aggregate of decisions. In such cases, we argue, even a low stakes decision may engender a right to explanation. Not only does this show that the right to explanation is more demanding than so far recognized. It also shows that the stakes thesis is significantly harder to apply in practice. (shrink)

In his Populist Democracy: A Defence (1993), Torbjörn Tännsjö suggests, roughly, the following necessary and sufficient conditions for a democratic collective choice: If the majority of a given group of voters prefer A to B, then the collective choice is A rather than B; and if the majority of voters had preferred B to A, then the collective choice would have been B rather than A. Moreover, the preference of a voter is equated with the one she is showing by (...) the act of voting (e.g., by putting a ballot in a box). Tännsjö’s definition has the advantage of being simple, naturalistic, and, to the best of my knowledge, more exact that most other definitions proposed in the literature. As such, I think it is a useful starting point for a discussion of how to define democratic decision making. As we will see below, such a discussion can be quite illuminating and generate interesting and fruitful questions regarding how to understand democracy. Tännsjö claims that his definition is in line with common language use, i.e., that it is a lexical definition. Pace Tännsjö, I shall show that it departs from common language use since it has a number of counterintuitive implications in regards to which decisions and methods that are classified as democratic or undemocratic. I shall suggest a number of amendments to avoid these drawbacks and incorporate these amendments in a definition of a democratic collective choice. The result is a definition of a democratic decision that is superior to Tännsjö’s, or so we will argue. It will be acknowledged, however, that it still has some shortcomings that future efforts need to rectify, or that it might not be possible to give a 1 simple and naturalistic definition of democracy that is sufficiently in line with common language use. To avoid a possible misunderstanding, let me add that I don’t think there is necessarily one correct way of defining a democratic decision (although there might be a common kernel) and I certainly don’t suggest that the definition proposed here is the only way of explicating the ordinary language use of the term “democracy”.. (shrink)

Should the assessment of decision‐making capacity (DMC) be risk sensitive, that is, should the threshold for DMC vary with risk? The debate over this question is now nearly five decades old. To many, the idea that DMC assessments should be risk sensitive is intuitive and commonsense. To others, the idea is paternalistic or incoherent, or both; they argue that the riskiness of a given decision should increase the epistemic scrutiny in the evaluation of DMC, not increase the threshold (...) for DMC. We respond to the critics’ main concerns by providing a comprehensive account of how risk‐sensitive DMC is coherent, avoids paternalism, and best fulfills the epistemic goal of DMC evaluations. (shrink)

Machines can now match, or outperform, human performance in several reasoning and decision tasks. Some say that all that intelligence amounts to is smart computation. This is not a new thesis, dating back to Leibniz as well as Simon and Newell, but what is new is what smart means. Today it is identified with complex statistics and optimisation. Simon’s meaning, however, of smart rested on bounded rationality, a unified view of human and artificial decision making. This view was (...) f l eshed out by Gigerenzer as fast-and-frugal heuristics. Interestingly, such heuristics are typically sparse, as some machine learning models are optimised to be. So, one might hope that we can make sense of artificial intelligence in human terms after all, and face the upcoming challenges with open-mindedness and courage, just like Simon, and of course Wilkes, would have done. (shrink)

The present study aims at proposing a time series-based network public opinion emergency management decision support algorithm for the problems of low decision accuracy and long decision time in traditional similar algorithms. In this proposed algorithm, after the time series data are preprocessed, the association rules of the original indicator data of network public opinion emergencies are mined, the original indicator data matrix of NPOEs will be constructed, and the improved local linear embedding approach will be employed (...) to obtain the original indicator data of NPOEs. After carrying out the preprocessing according to the preprocessing results, the objective weight of the emergency decision index is calculated through the interval value fuzzy information entropy measurement of the emergency decision index, the emergency management decision support model is constructed, and the emergency management decision support of the NPOE is realized. The simulation experiment results show that the proposed algorithm has a better effect on the decision-making effect of the management of NPOEs, and a higher decision-making efficiency is achieved. (shrink)

This paper develops an argument against causal decision theory. I formulate a principle of preference, which I call the Guaranteed Principle. I argue that the preferences of rational agents satisfy the Guaranteed Principle, that the preferences of agents who embody causal decision theory do not, and hence that causal decision theory is false.

This article reviews the strengths and limitations of five major paradigms of medical computer-assisted decision making (CADM): (1) clinical algorithms, (2) statistical analysis of collections of patient data, (3) mathematical models of physical processes, (4) decision analysis, and (5) symbolic reasoning or artificial intelligence (Al). No one technique is best for all applications, and there is recent promising work which combines two or more established techniques. We emphasize both the inherent power of symbolic reasoning and the promise of (...) artificial intelligence and the other techniques to complement each other. (shrink)

This paper introduces the likelihood method for decision under uncertainty. The method allows the quantitative determination of subjective beliefs or decision weights without invoking additional separability conditions, and generalizes the Savage–de Finetti betting method. It is applied to a number of popular models for decision under uncertainty. In each case, preference foundations result from the requirement that no inconsistencies are to be revealed by the version of the likelihood method appropriate for the model considered. A unified treatment (...) of subjective decision weights results for most of the decision models popular today. Savage’s derivation of subjective expected utility can now be generalized and simplified. In addition to the intuitive and empirical contributions of the likelihood method, we provide a number of technical contributions: We generalize Savage’s nonatomiticy condition (“P6”) and his assumption of (sigma) algebras of events, while fully maintaining his flexibility regarding the outcome set. Derivations of Choquet expected utility and probabilistic sophistication are generalized and simplified similarly. The likelihood method also reveals a common intuition underlying many other conditions for uncertainty, such as definitions of ambiguity aversion and pessimism. (shrink)

This paper is about two requirements on wish reports whose interaction motivates a novel semantics for these ascriptions. The first requirement concerns the ambiguities that arise when determiner phrases, such as definite descriptions, interact with ‘wish’. More specifically, several theorists have recently argued that attitude ascriptions featuring counterfactual attitude verbs license interpretations on which the determiner phrase is interpreted relative to the subject’s beliefs. The second requirement involves the fact that desire reports in general require decision-theoretic notions for their (...) analysis. The current study is motivated by the fact that no existing account captures both of these aspects of wishing. I develop a semantics for wish reports that makes available belief-relative readings but also allows decision-theoretic notions to play a role in shaping the truth conditions of these ascriptions. The general idea is that we can analyze wishing in terms of a two-dimensional notion of expected utility. (shrink)

It is a platitude among decision theorists that agents should choose their actions so as to maximize expected value. But exactly how to define expected value is contentious. Evidential decision theory (henceforth EDT), causal decision theory (henceforth CDT), and a theory proposed by Ralph Wedgwood that this essay will call benchmark theory (BT) all advise agents to maximize different types of expected value. Consequently, their verdicts sometimes conflict. In certain famous cases of conflict—medical Newcomb problems—CDT and BT (...) seem to get things right, while EDT seems to get things wrong. In other cases of conflict, including some recent examples suggested by Andy Egan, EDT and BT seem to get things right, while CDT seems to get things wrong. In still other cases, EDT and CDT seems to get things right, while BT gets things wrong. It's no accident, this essay claims, that all three decision theories are subject to counterexamples. Decision rules can be reinterpreted as voting rules, where the voters are the agent's possible future selves. The problematic examples have the structure of voting paradoxes. Just as voting paradoxes show that no voting rule can do everything we want, decision-theoretic paradoxes show that no decision rule can do everything we want. Luckily, the so-called “tickle defense” establishes that EDT, CDT, and BT will do everything we want in a wide range of situations. Most decision situations, this essay argues, are analogues of voting situations in which the voters unanimously adopt the same set of preferences. In such situations, all plausible voting rules and all plausible decision rules agree. (shrink)

ver since the traditional criteria for medical decision-making capacity (understanding, appreciation, reasoning, evidencing a choice) were formulated, they have been criticized for not taking sufficient account of emotions or values that seem, according to the critics and in line with clinical experiences, essential to decision-making capacity. The aim of this paper is to provide a nuanced and structured overview of the arguments provided in the literature emphasizing the importance of these factors and arguing for their inclusion in competence (...) evaluations. Moreover, a broader reflection on the findings of the literature is provided. Specific difficulties of formulating and measuring emotional and valuational factors are discussed inviting reflection on the possibility of handling relevant factors in a more flexible, case-specific, and context-specific way rather than adhering to a rigid set of operationalized criteria. (shrink)

When ethical decisions have to be taken in critical, complex medical situations, they often involve decisions that set the course for or against life-sustaining treatments. Therefore the decisions have far-reaching consequences for the patients, their relatives, and often for the clinical staff. Although the rich psychology literature provides evidence that reasoning may be affected by undesired influences that may undermine the quality of the decision outcome, not much attention has been given to this phenomenon in health care or ethics (...) consultation. In this paper, we aim to contribute to the sensitization of the problem of systematic reasoning biases by showing how exemplary individual and group biases can affect the quality of decision-making on an individual and group level. We are addressing clinical ethicists as well as clinicians who guide complex decision-making processes of ethical significance. Knowledge regarding exemplary group psychological biases (e.g. conformity bias), and individual biases (e.g. stereotypes), will be taken from the disciplines of social psychology and cognitive decision science and considered in the field of ethical decision-making. Finally we discuss the influence of intuitive versus analytical (systematical) reasoning on the validity of ethical decision-making. (shrink)

Ethical dilemmas require evaluation of alternatives in light of conflicting principles. Because of the difficulty of making and defending such complex decisions, we may compromise the quality of our ethical decisions and debates. We need a methodology that combines the weighted effects of multiple ethical guidelines on the issue at hand. This paper describes how the Analytic Hierarchy Process can help us improve ethical decision making.

Dieses Buch bietet eine grundlegende Einführung in den Einsatz der Methode des Decision Theater zur Vermittlung von mathematischer Modellierungskompetenz im Schulkontext. In den letzten Jahren hat sich unter anderem anhand der Covid-19 Pandemie mehr denn je gezeigt, wie Mathematik im Allgemeinen und das mathematische Modellieren im Speziellen zum Verständnis globaler Herausforderungen und Möglichkeiten zu ihrer Bewältigung beiträgt. Deshalb sollte die mathematische Modellierungskompetenz eine zentrale Rolle im Schulunterricht spielen. Doch der Prozess von Vermittlung und Erwerb einer solchen Kompetenz ist komplex (...) und mit vielfältigen Schwierigkeiten verbunden. Angesichts dieser Ausgangslage stellt das Buch die Methode des Decision Theater als innovative Lernumgebung neuer Art vor, die die Vermittlung von mathematischer Modellierungskompetenz unterstützen kann. Dabei trägt die Methode des Decision Theatre auf drei Ebenen dazu beiträgt, Modellierungskompetenz und ein damit verbundenes ganzheitliches Bild der Mathematik zu fördern: Das Decision Theatre dient als IT-Dienstleister, als Wissenschaftskommunikator und als interaktiv-diskursive Lernumgebung. Neben Geschichte und Definition des Decision Theater, stellt das Buch dessen Einsatz konkret am Beispiel des Projekts „Schule @ Decision Theatre Lab“ des Berliner Exzellenzclusters MATH+ Berlin Mathematics Research Center vor. Als Zusammenfassung der wichtigsten Aspekte des Einsatzes der Methode des Decision Theater im Schulkontext richtet sich das Buch an Didaktiker*innen und Lehrkräfte aller Schulformen. (shrink)

This paper examines women’s experiences with decision-making about non-invasive prenatal testing (NIPT). Such tests offer knowledge about chromosomal disorders early in pregnancy, without the risk of miscarriage associated with invasive procedures such as amniocentesis. Based on qualitative interviews with women in Germany who used, or declined, NIPT, we show how some women, who would not consider amniocentesis due to the risk of miscarriage, welcome the knowledge provided by, and the additional agency resulting from, NIPT. For others, declining the offer (...) to “know more” becomes increasingly difficult to articulate. The absence of risk strips women of a “good reason” to justify their decision not to test, thus implicitly challenging their “right not to know.” Moreover, NIPT heightens moral dilemmas within relationships with partners, existing children, and sometimes other close relatives. While clinically “non-invasive,” we argue that NIPT changes decision-making in an ethically and socially highly significant way. (shrink)

An influential objection to the view that intentions are non-derivatively relevant to the moral permissibility of actions states that if intentions were relevant to permissibility in such a way, one would have to take them into account in decision making, which would be odd (in some morally relevant sense of ‘oddness’). The paper outlines and assesses three candidates for the oddness: that considering intentions in decision making is an unordinary practice, that it is impossible or conceptually confused, and (...) that it assigns intentions the weight as moral considerations that they intuitively do not have. The paper rejects the first two and shows that the third is probably what motivates most critics of the relevance of intentions who raise this objection. If this is correct, the objection is a non-starter as it assumes what it has to prove. Towards the end, it is argued that the objection does not serve as a plausible error theory either. (shrink)

Clark Glymour, together with his students Peter Spirtes and Richard Scheines, did pioneering work on graphical causal models . One of the central advances provided by these models is the ability to simply represent the effects of interventions. In an elegant paper , Glymour and his student Christopher Meek applied these methods to problems in decision theory. One of the morals they drew was that causal decision theory should be understood in terms of interventions. I revisit their proposal, (...) and extend the analysis by showing how graphical causal models might be used to address decision problems that arise in “exotic” situations, such as those involving crystal balls or time travelers. (shrink)

The intention of this paper is to point to the dilemma humanity may face in light of AI advancements. The dilemma is whether to create a world with less evil or maintain the human status of moral agents. This dilemma may arise as a consequence of using automated decision-making systems for high-stakes decisions. The use of automated decision-making bears the risk of eliminating human moral agency and autonomy and reducing humans to mere moral patients. On the other hand, (...) it also has the potential to bring tremendous benefits to humanity by decreasing human-induced harm in the world. After presenting how this dilemma may arise, I explore general avenues for addressing it. I will argue that we do not have to solve this dilemma in an all-or-nothing fashion and that a more nuanced approach may be suitable. However, the main point I want to highlight is that we need to have a principled way of addressing this dilemma, which is currently missing. (shrink)

At the heart of entrepreneurship are imagination, creativity, novelty, and sensitivity. It takes these qualities to develop a new product or service and bring it to market, to envision the possible impacts a new product may make and come up with novel and creative solutions to problems that may arise. These qualities go to make up what could be called the spirit of entrepreneurship, a spirit that involves the ability to handle the experimental nature of entrepreunerial activity. These same qualities (...) are crucial for moral decision making, and an ethical approach which emphasizes imagination, creativity, and has an experimental thrust is much better adapted to the entrepreneurial activity and much more relevant to the unique situations that entrepreneurs face. In this sense, the process approach to ethics developed in this article is a unifying framework that brings together the activity of entrepreneurship and moral decision making. (shrink)

Psychiatric residents and psychiatrists have little difficulty in making judgments about a clinical course of action to take with patients. However, making ethical clinical decisions is more challenging, because psychiatric residents are usually provided little formal training in ethics. Further, many ethical dilemmas are complex, requiring knowledge of the psychiatric profession's ethics code, moral principles, law, and practice standards and of how they should be weighed in the decision-making process. The purpose of this article is to demonstrate this complexity (...) in regard to the identification of potential ethical dilemmas, understanding the issues that these dilemmas raise, and formulating potential solutions to them. Two common but important areas of treatment in which ethical dilemmas arise (informed consent and competence of care) are used as examples for our presentation. The article demonstrates that to successfully engage in ethical analysis in psychiatry is impossible without substantial formal training in the process. (shrink)

Prior research has demonstrated that trust in robots and performance of robots are two important factors that influence human–autonomy teaming. However, other factors may influence users’ perceptions and use of autonomous systems, such as perceived intent of robots and decision authority of the robots. The current study experimentally examined participants’ trust in an autonomous security robot (ASR), perceived trustworthiness of the ASR, and desire to use an ASR that varied in levels of decision authority and benevolence. Participants (N (...) = 340) were recruited from Amazon Mechanical Turk. Results revealed the participants had increased trust in the ASR when the robot was described as having benevolent intent compared to self-protective intent. There were several interactions between decision authority and intent when predicting the trust process, showing that intent may matter the most when the robot has discretion on executing that intent. Participants stated a desire to use the ASR in a military context compared to a public context. Implications for this research demonstrate that as robots become more prevalent in jobs paired with humans, factors such as transparency provided for the robot's intent and its decision authority will influence users’ trust and trustworthiness. (shrink)

The partitioned Bonferroni mean operator can efficiently aggregate inputs, which are divided into parts based on their interrelationships. To date, it has not been used to aggregate linguistic Pythagorean fuzzy numbers. In this paper, we extend the PBM operator and partitioned geometric Bonferroni mean operator to the linguistic Pythagorean fuzzy sets and use them to develop a novel multiattribute group decision-making model under the linguistic Pythagorean fuzzy environment. We first define some novel operational laws for LPFNs, which take into (...) consideration the interactions between the membership degree and nonmembership degree from two different LPFNs. Based on these novel operational laws, we put forward the interaction PBM operator, the weighted interaction PBM operator, the interaction PGBM operator, and the weighted interaction PGBM operator. Then, we study some properties of these proposed operators and discuss their special cases. Based on the proposed LPFWIPBM and LPFWIPGBM operators, a novel multiattribute group decision-making model is developed to process the linguistic Pythagorean fuzzy information. Finally, some illustrative examples are introduced to compare our proposed methods with the existing ones. (shrink)

This article is an attempt at a systematic account of decision making under greater uncertainty than what traditional, mathematically oriented decision theory can cope with. Four components of great uncertainty are distinguished: (1) the identity of the options is not well determined (uncertainty of demarcation) ; (2) the consequences of at least some option are unknown (uncertainty of consequences); (3) it is not clear whether information obtained from others, such as experts, can be relied on (uncertainty of reliance); (...) and (4) the values relevant for the decision are not determined with sufficient precision (uncertainty of values). Some possible strategy types are proposed for each of these components. Decisions related to environmental issues are used to illustrate the proposals. (shrink)

Problems with regard to the analysis of argumentative partly discourse arise from definitorial disconformity. In this article, Informal argument is taken as the primary definition to study the basic structure of argument from a fragment of an Agatha Christie novel. Bilmes' account of the notions of Formulation (F) and Decision (D+/D-) are adapted to describe the relations of opposition which are displayed in informal argument. The minimal structure of argument is represented by the formula F/D-/D-, in which F is (...) a speaker's personal composition of a ‘fact’, the first D- is the disconfirming uptake of it by another speaker and the second D- is the completing disconfirming uptake by the initial speaker. Some of the speaker's possibilities to initiate an argument by expressing a Formulation are explored, as well as the social and cultural norms which play a role in argument-initiation and the concepts of ‘win’ and ‘loss’. (shrink)

A link between biological and human sciences may be established, under the condition that we should admit the existence of reciprocal influences between them. The model for the regulation of agonistic antagonistic couples (MRAAC) is built from the study of biological systems and gives rise to specific types of control. This model can be helpful in decision processes in some human sciences such as management, economical and political strategies. The reason for such an opportunity lies in the fact that (...) MRAAC is a general and phenomenological model able to incorporate the whole of the agonistic antagonistic systems. This type of regulation might be related to the concept of the viability of a system (yet also valid for human science systems) and to a functional and structural pattern which is the basis for agonistic antagonistic networks. (shrink)

Care of the critically ill newborn includes support for the birth mother/parents with regular updates around the clinical condition of the baby, and involvement in discussions around complex decision-making issues. Discussions around continuation or discontinuation of life-sustaining are challenging even in the most straightforward of cases, but what happens when the birth mother is critically unwell? Such cases can lead to uncertainty around who should assume the parental role for these difficult discussions. In this round table discussion, we explore (...) the ethical, moral and legal uncertainties raised by coincident severe maternal and neonatal illness in the context of surrogacy. (shrink)

:We address the question, in decision theory, of how the value of risky options should be assessed when they have no finite standard expected value, that is, where the sum of the probability-weighted payoffs is infinite or not well defined. We endorse, combine and extend the proposal of Easwaran to evaluate options on the basis of their weak expected value, and the proposal of Colyvan to rank options on the basis of their relative expected value.

This paper develops hypotheses about the implications of different types of decision for the utilization of different types of systematically produced information: data, research, and analysis. The engineering and enlightenment models found in the knowledge utilization literature prove inadequate for this purpose. We turn to three decision models—routine, incremental, and fundamental–and determine their implied demands for information. We also examine how information might be used in scanning procedures in anticipation of decision regime shifts. The results suggest that (...) patterns of information should differ markedly in each decision context and indicate that there may be an inherent bias against the use of research in decision. (shrink)