This Element introduces the philosophical literature on models, with an emphasis on normative considerations relevant to models for decision-making. Chapter 1 gives an overview of core questions in the philosophy of modeling. Chapter 2 examines the concept of model adequacy for purpose, using three examples of models from the atmospheric sciences to describe how this sort of adequacy is determined in practice. Chapter 3 explores the significance of using models that are not adequate for purpose, including the purpose (...) of informing public decisions. Chapter 4 provides a basic framework for values in modelling, using a case study to highlight the ethical challenges in building models for decision making. It concludes by establishing the need for strategies to manage value judgments in modelling, including the potential for public participation in the process. (shrink)

This article provides a comparative institutional analysis between El Niño/southern Oscillation forecasting systems in the Pacific and southern Africa with a focus on how scientific information is connected to the decision-making process. With billions of dollars in infrastructure and private property and human health and well-being at risk during ENSO events, forecasting systems have begun to be embraced by managers and firms at multiple levels. The study suggests that such systems need to consciously support the coproduction of knowledge. (...) A critical component of such coproduction seems to be managing the boundaries between science and policy and across disciplines, scale, and knowledges to create information that is salient, credible, and legitimate to multiple audiences. This research suggests institutional mechanisms that appear to be useful in managing such boundaries, including mechanisms for structuring convening, translation, collaboration, and mediation functions. (shrink)

It is widely accepted in psychology and cognitive science that there are two “systems” in the mind: one system is characterized as quick, intuitive, perceptive, and perhaps more primitive, while the other is described as slower, more deliberative, and responsible for our higher-order cognition. I use the term “reflectivism” to capture the view that conscious reflection—in the “System 2” sense—is a necessary feature of good moral judgment and decision-making. This is not to suggest that System 2 must (...) operate alone in forming our moral decisions, but that it plays a normatively ineliminable role. In this paper, I discuss arguments that have been offered in defense of reflectivism. These arguments fit into two broad categories; let us think of them as two sides of a coin. On the first side are arguments about the efficaciousness of conscious reasoning—for example, without conscious deliberation we will make bad moral judgments and decisions. On the other side of the coin are arguments about the centrality of conscious deliberation to normative actions—for example, without conscious deliberation we are no more agential than animals or automatons. Despite their attractiveness, I argue that these arguments do not successfully establish that reflection is a necessary component of good moral judgment and decision-making. If I am right, the idea that good moral judgment and decision-making can result from entirely automatic and subconscious processes gains traction. My goal in this paper is to show that reflectivism fails to include the full range of cases of moral decision-making and that a theory of automaticity may do a better job. I briefly discuss at the end of the paper how an account of successful automatic moral judgment and decision-making might begin to take shape. (shrink)

Responding to the call to provide guidance for incorporating diverse perspectives in science-policy debate, Collins and Evans’ normative model of expertise provides a useful starting point for deciding who gets to come to the table—expertise and experience. However, new materialist critiques highlight the epistemic challenges of such an approach. Drawing on the work of Annemarie Mol, I propose that the theory of multiple ontologies and a practise-based orientation can enrich conversations about expertise and inclusion in science-policy decision- (...) class='Hi'>making, particularly in matters of concern. Specifically, I reread Collins and Evans’ normative model of expertise through multiple ontologies, resulting in an expertise of doing. Such an approach both productively resolves gaps in each while leading to the creation of something new. I will explore what this expertise of doing might mean for the long-standing problem of expertise and inclusion in scientific, technical, and health policy disputes. Specifically, I pr... (shrink)

How does the research performed by a government mission agency contribute to useable technologies for its constituents? Is it possible to incorporate science policy mechanisms for increasing benefits to users in the decision process? The United States National Institute of Standards & Technology (NIST) promises research directed towards industrial application. This paper considers the processes that produce science and technology at NIST. The institute’s policies for science provide robust examples for how effective science policies can (...) contribute to the emergence of useful technologies. To progress towards technologies that can be years away, the agency uses several means for integrating the needs of eventual information users into the prioritization process. To accomplish this, NIST units, such as the Materials Science and Engineering Laboratory, incorporate mechanisms for considering user need and project impact into different stages of its scientific decision processes. This, and other specific strategies that the agency utilizes for connecting the supply of science to information demand, provide lessons for generating useable science. (shrink)

ABSTRACTThe financial crisis of 2008 was unforeseen partly because the academic theories that underpin policy making do not sufficiently account for uncertainty and complexity or learned and evolved human capabilities for managing them. Mainstream theories of decision making tend to be strongly normative and based on wishfully unrealistic “idealized” modeling. In order to develop theories of actual decision making under uncertainty, we need new methodologies that account for how human actors often manage uncertain situations “well (...) enough.” Some possibly helpful methodologies, drawing on digital science, focus on the role of emotions in determining people's choices; others examine how people construct narratives that enable them to act; still others combine qualitative with quantitative data. (shrink)

Safety is an important topic for a wide range of disciplines, such as engineering, economics, sociology, psychology, political science and philosophy, and plays a central role in risk analysis and risk management. The aim of this thesis is to develop a concept of safety that is relevant for decision-making, and to elucidate its consequences for risk and safety research and practices. Essay I provides a conceptual analysis of safety in the context of societal decision-making, focusing (...) on some fundamental distinctions and aspects, and argues for a more complex notion than what is commonly given. This concept of safety explicitly includes epistemic uncertainty, the degree to which we are uncertain of our knowledge of the situation at hand. It is discussed the extent to which such a concept may be considered an objective concept, and concluded that it is better seen as an intersubjective concept. Some formal versions of a comparative safety concept are also proposed. Essay II explores some consequences of epistemic uncertainty. It is commonly claimed that the public is irrational in its acceptance of risks. An underlying presumption in such a claim is that the public should follow the experts’ advice in recommending an activity whenever the experts have better knowledge of the risk involved. This position is criticised based on considerations from epistemic uncertainty and the goal of safety. Furthermore, it is shown that the scope of the objection covers the entire field of risk research, risk assessment as well as risk management. Essay III analyses the role of epistemic uncertainty for principles of achieving safety in an engineering context. The aim is to show that to account for common engineering principles we need the understanding of safety that has been argued for in Essays I-II. Several important principles in engineering safety are analysed, and it is argued that we cannot fully account for them on a narrow interpretation of safety as the reduction of risk. An adequate concept of safety must include not only the reduction of risk but also the reduction of uncertainty. (shrink)

Current environmental problems and technological risks are a challenge for a new institutional arrangement of the value spheres of Science, Politics and Morality. Distinguished authors from different European countries and America provide a cross-disciplinary perspective on the problems of political decision making under the conditions of scientific uncertainty. cases from biotechnology and the environmental sciences are discussed. The papers collected for this volume address the following themes: (i) controversies about risks and political decision making; (ii) (...) concepts of science for policy; (iii) the use of social science in the policy making process; (iv) ethical problems with developments in science and technology; (v) public and state interests in the development and control of technology. (shrink)

We report on an interview-based study of decision-making capacity in two classes of patients suffering from depression. Developing a method of second-person hermeneutic phenomenology, we articulate the distinctive combination of temporal agility and temporal inability characteristic of the experience of severely depressed patients. We argue that a cluster of decision-specific temporal abilities is a critical element of decision-making capacity, and we show that loss of these abilities is a risk factor distinguishing severely depressed patients from (...) mildly/moderately depressed patients. We explore the legal and clinical consequences of this result. (shrink)

High levels of specialization have created knowledge with little or no “peripheral vision,” and the resulting “blind spots” are causing many “collisions” with human life, society, and the biosphere. Each discipline and specialty must be equipped with a “map” showing its connections to everything else, but especially the negative consequences that tend to be associated with its practices. Preventively oriented practices can improve the ratio of desired to undesired effects of design and decision making to create ways of (...) life that are more sustainable across the board, as opposed to treating symptoms (such as global warming). This new approach has already fired the imagination of many students in engineering. (shrink)

Background:Information sharing is one of the most important means of public health nurses collaborating with other healthcare professionals and community members. There are complicated ethical issues in the process.Research objectives:To describe the ethical dilemmas associated with client information sharing that Japanese public health nurses experience in daily practice and to clarify their decision-making process to resolve these dilemmas.Research design:Data were collected using a three-phase consensus method consisting of semi-structured interviews, self-administered questionnaires and a group interview.Participants and research context:We (...) surveyed administrative public health nurses in Shizuoka Prefecture, Japan. The semi-structured interviews were carried out with 12 administrative public health nurses, and the self-administered questionnaires were sent to all 899 administrative public health nurses. The group interview was carried out with eight administrative public health nurses.Ethical considerations:Ethical approval was granted by the ethics committee of the School of Health Sciences, Nagoya University, Japan (8-158, 9-130).Findings:Information-sharing ethical dilemmas occurred most often when clients’ decisions did not coincide with the nurses’ own professional assessments, particularly when they faced clinical issues that were inherently ambiguous. In their decision-making processes, nurses prioritised ‘protection of health and life’.Discussion:These findings suggest that, above all, they sought to address urgent risks to clients’ lives while upholding the principle of client autonomy as much as possible. In such cases, the nurses made decisions regarding whether to share information about the client depending on the individual situation.Conclusion:Public health nurses should protect the client’s health while taking into consideration their relationship with the client. (shrink)

The consideration of gambling as a decision-making disorder may fail to explain why the majority of people gamble, yet only a small percentage of people lose control of their behaviour to the point where their gambling becomes problematic. The application of dual process theories to gambling addiction offers a means of explaining the differences between and gambling, augmenting the multiple vulnerabilities proposed by Redish et al.

Despite the importance of scientific integrity to the well-being of society, recent findings suggest that training and mentoring in the responsible conduct of research are not very reliable or effective inhibitors of research misbehavior. Understanding how and why individual scientists decide to behave in ways that conform to or violate norms and standards of research is essential to the development of more effective training programs and the creation of more supportive environments. Scholars in business management, psychology, and other disciplines have (...) identified many important factors that affect ethical behavior, including individual, contextual, and organizational factors. Surprisingly little research has been conducted to examine the role of these factors in either the development of ethical decision-making skills, or their applicability to ethical issues commonly encountered in research and other scholarly and professional activities. Interdisciplinary approaches combined with research and discipline relevant paradigms should greatly enhance understanding of the individual contextual and organizational factors involved in ethical and unethical research conduct. Such studies will inform and facilitate the development of more effective ethics education programs in the sciences and engineering professions. (shrink)

It is important to have an adequate model of uncertainty, since decisions must be made before the uncertainty can be resolved. For instance, flood defenses must be designed before we know the future distribution of flood events. It is standardly assumed that probability theory offers the best model of uncertain information. I think there are reasons to be sceptical of this claim. I criticise some arguments for the claim that probability theory is the only adequate model of uncertainty. In particular (...) I critique Dutch book arguments, representation theorems, and accuracy based arguments. Then I put forward my preferred model: imprecise probabilities. These are sets of probability measures. I offer several motivations for this model of uncertain belief, and suggest a number of interpretations of the framework. I also defend the model against some criticisms, including the so-called problem of dilation. I apply this framework to decision problems in the abstract. I discuss some decision rules from the literature including Levi’s E-admissibility and the more permissive rule favoured by Walley, among others. I then point towards some applications to climate decisions. My conclusions are largely negative: decision making under such severe uncertainty is inevitably difficult. I finish with a case study of scientific uncertainty. Climate modellers attempt to offer probabilistic forecasts of future climate change. There is reason to be sceptical that the model probabilities offered really do reflect the chances of future climate change, at least at regional scales and long lead times. Indeed, scientific uncertainty is multi-dimensional, and difficult to quantify. I argue that probability theory is not an adequate representation of the kinds of severe uncertainty that arise in some areas in science. I claim that this requires that we look for a better framework for modelling uncertainty. (shrink)

How realistic is it to adopt a quantum random walk model to account for decisions involving two choices? Here, we discuss the neural plausibility and the effect of initial state and boundary thresholds on such a model and contrast it with various features of the classical random walk model of decision making.

Though individual categorization or decision processes have been studied separately in many previous investigations, few studies have investigated how they interact by using a two-stage task of first categorizing and then deciding. To address this issue, we investigated a categorization-decision task in two experiments. In both, participants were shown six faces varying in width, first asked to categorize the faces, and then decide a course of action for each face. Each experiment was designed to include three groups, and (...) for each group, we manipulated the probabilistic contingencies between stimulus, category assignments, and decision consequences. For each group, each participant received three different sequences of category response, category feedback, decision response, and decision feedback. We found that participants were only partially responsive in the appropriate directions to the contingencies assigned to each group. Comparisons of results from different sequences provided evidence for empirical interference effects of categorization on decisions. The empirical interference effect is defined as the difference between the probability of taking a hostile action in decision-alone conditions and the total probability of taking a hostile action in categorization-decision conditions. To test competing accounts for multiple empirical results, including two-stage choice probabilities and empirical interference effects, we compared a quantum cognition model versus a two-stage exemplar categorization model at both aggregate and individual levels. Using a Bayesian information criterion, we found that the quantum model provided an overall better model fit than the exemplar model. Although both models predicted empirical interference effects, the exemplar model was able to generate probabilistic deviation by incorporating category information of the first stage into the feature representation of the subsequent decision stage, while the quantum model produced interference effect by superposition, measurement, and quantum entanglement. (shrink)

I encourage Johnson et al. to ground Conviction Narrative Theory in more detail in foundational, earlier decision-making research – first and foremost in Herbert Simon's work. Moreover, I wonder if and how further reflections about narratives could aid tackling two interrelated grand challenges of the decision sciences: To describe decision-making environments; to understand how people select among decision-strategies in environments.

A recent interpretation of artificial intelligence (AI) (Floridi 2013, 2022) suggests that the implementation of AI demands the investigation of the binding conditions that make it possible to build and integrate artifacts into our lived world. Such artifacts can successfully interact with the world because our environment has been designed to be compatible with intelligent machines (such as robots). As the use of AI becomes ubiquitous in society, possibly leading to the formation of increasingly intelligent bio-technological unions, there will likely (...) be a coexistence of a plethora of micro-environments wrapped and tailored around humans and basic robots. The key element of this pervasive process will be the capacity to integrate biological realms in an infosphere suitable for the implementation of AI technologies. This process will require extensive datafication. This is because data is the basis of the logical-mathematical codes and models that drive and guide AI. This process will have huge consequences on workplaces, on workers, as well as on the decision-making processes required for the functioning of future societies. In this paper we will offer a comprehensive reflection on the moral and social implications of datafication as well as a set of considerations about its desirability, which will be informed by the following insights: (1) full protection of privacy may become structurally impossible, thus leading to undesirable forms of political and social control; (2) worker’s freedom may be reduced; (3) human creativity, imagination, and even divergence from AI logic might be channeled and possibly discouraged; (4) there will likely be a push towards efficiency and instrumental reason, which will become preeminent in production lines as well as in society. (shrink)

As a step towards understanding how local environemntal hazards policy is made, this article explores how Canadian local elected officials gained and assimilated scientific and technical information about the environmental hazards facing their communities. Consistent with previous work in the hazards field, three of Weiss’s (1979) meanings of research utilization were found to be directly applicable. The elected officials expressed the view that reconciling conflicting expert opinion and competing concerns was more difficult and more rightly their responsibility than gathering information. (...) This research demonstrates the utility of focus groups for interviewing elite populations making community scale decisions. (shrink)

Considering the popular framing of an artificial intelligence as a rational agent that always seeks to maximise its expected utility, referred to as its goal, one of the features attributed to such rational agents is that they will never select an action which will change their goal. Therefore, if such an agent is to be friendly towards humanity, one argument goes, we must understand how to specify this friendliness in terms of a utility function. Wolfhart Totschnig, argues in contrast that (...) a fully autonomous agent will have the ability to change its utility function and will do so guided by its values. This commentary examines computational accounts of goals, values and decision-making. It rejects the idea that a rational agent will never select an action that changes its goal but also argues that an artificial intelligence is unlikely to be purely rational in terms of always acting to maximise a utility function. It nevertheless also challenges the idea that an agent which does not change its goal cannot be considered fully autonomous. It does agree that values are an important component of decision-making and explores a number of reasons why. (shrink)

Algorithm Decision Making (ADM) systems designed to augment or automate human decision-making have the potential to produce better decisions while also freeing up human time and attention for other pursuits. For this potential to be realised, however, algorithmic decisions must be sufficiently aligned with human goals and interests. We take a Principal-Agent (P-A) approach to the questions of ADM alignment and trust. In a broad sense, ADM is beneficial if and only if human principals can trust (...) algorithmic agents to act faithfully on their behalf. This mirrors the challenge of facilitating P-A relationships among humans, but the peculiar nature of human-machine interaction also raises unique issues. The problem of asymmetric information is omnipresent but takes a different form in the context of ADM. Although the decision-making machinery of an algorithmic agent can in principle be laid bare for all to see, the sheer complexity of ADM systems based on deep learning models prevents straightforward monitoring. We draw on literature from economics and political science to argue that the problem of trust in ADM systems should be addressed at the level of institutions. Although the dyadic relationship between human principals and algorithmic agents is our ultimate concern, cooperation at this level must rest against an institutional environment which allows humans to effectively evaluate and choose among algorithmic alternatives. (shrink)

Many of the mathematicians and scientists who guided the development of digital computers in the late 1940s, such as Alan Turing and John von Neumann, saw these new devices not just as tools for calculation but as devices that might employ the same principles as are exhibited in rational human thought. Thus, a subfield of what came to be called computer science assumed the label artificial intelligence. The idea of building artificial systems which could exhibit intelligent behavior comparable to (...) that of humans was a heady prospect, and the claims made on behalf of AI during the 1950s and 1960s were impossibly ambitious. Despite some theoretical and applied successes within the field, serious problems soon became evident. Instead of fulfilling the goal of quickly producing artificial intelligent agents which could compete with or outperform human beings, by the 1970s and 1980s AI had settled into a pattern of slower but real progress in modeling or simulating aspects of human intelligence. (shrink)

Several authors have recently advocated a so-called new case for paternalism, according to which empirical findings from distinct decision sciences provide compelling reasons in favour of paternalistic interference. In their view, the available behavioural and neuro-psychological findings enable paternalists to address traditional anti-paternalistic objections and reliably enhance the well-being of their target agents. In this paper, I combine insights from decision-making research, moral philosophy and evidence-based policy evaluation to assess the merits of this case. In particular, I (...) articulate and defend three complementary arguments that, I claim, challenge even the best available calls for such case. In doing so, I identify the main justificatory challenges faced by the new paternalists and explicate the implications of these challenges for the ongoing philosophical debate about the justifiability of paternalistic interference. (shrink)

Bayesianism is the predominant philosophy of science in North-America, the most important school of statistics world-wide, and the general version of the rational-choice approach in the social sciences. Although often rejected as a theory of actual behavior, it is still the benchmark case of perfect rationality. The paper reviews the development of Bayesianism in philosophy, statistics and decision making and questions its status as an account of perfect rationality. Bayesians, who otherwise are squarely in the empiricist camp, (...) invoke a priori reasoning when they recommend Bayesian methods - a recommendation that is not justified by their own standards. (shrink)

De Neys offers a welcome departure from the dual-process accounts that have dominated theorizing about reasoning. However, we see little justification for retaining the distinction between intuition and deliberation. Instead, reasoning can be treated as a case of multiple-cue decision making. Reasoning phenomena can then be explained by decision-making models that supply the processing details missing from De Neys's framework.

This volume presents research that integrates decision making and creativity within the social contexts in which these processes occur. The volume is an essential addition to and expansion of recent approaches to decision making. Such approaches attempt to incorporate more of the psychological and socio-cultural context in which human decision making takes place. The authors come from different disciplines and also belong to a broad spectrum of research traditions. They present innovative chapters dealing with (...) both theoretical and empirical aspects of decision making in different personal and organizational contexts. All chapters are written from the perspective that human decision making is inherently social and more or less creative. The volume addresses fundamental questions about the nature of human decision making as it occurs in different social contexts. Thereby, it becomes essential reading for researchers in decision making and for advanced students in psychology, management science, informatics, and related disciplines. (shrink)

Shift work is a fixture of our 24-hour economy, with approximately 18 per cent of workers in the USA engaging in shift work, many overnight. Since shift work has been linked to an increased risk for an array of serious maladies, including cardiometabolic disorders and cancer, and is done disproportionately by the poor and by minorities, shift work is a highly prevalent economic and occupational health disparity. Here we draw primarily on the state of science around shift work and (...) breast cancer to argue that shift work represents a public health threat serious enough to warrant a precautionary stance. We use the precautionary principle to advance our case and view it as a moral compass for shift work research, empowering public health to cast shift work within the domain of health disparities deserving action despite scientific uncertainty. With the precautionary principle, we call for a deliberative decision-making process and formation of a broad shift work research collaboration to protect the health of many millions who work at night. (shrink)

Despite significant ethical advances in recent years, including professional developments in ethical review and codification, research deception continues to be a pervasive practice and contentious focus of debate in the behavioral sciences. Given the disciplines' generally stated ethical standards regarding the use of deceptive procedures, researchers have little practical guidance as to their ethical acceptability in specific research contexts. We use social contract theory to identify the conditions under which deception may or may not be morally permissible and formulate practical (...) recommendations to guide researchers on the ethical employment of deception in behavioral science research. (shrink)

Over several decades, ethics and law have been applied to medical education and practice in a way that reflects the continuation during the twentieth century of the strong distinction between facts and values. We explain the development of applied ethics and applied medical law and report selected results that reflect this applied model from an empirical project examining doctors’ decisions on withdrawing/withholding treatment from patients who lack decision-making capacity. The model is critiqued, and an alternative “constitutive” model is (...) supported on the basis that medicine, medical law, and medical ethics exemplify the inevitable entanglement of facts and values. The model requires that ethics and law be taught across the medical education curriculum and integrated with the basic and clinical sciences and that they be perceived as an integral component of medical evidence and practice. Law, in particular, would rank as equal in normative authority to the relevant clinical scientific “facts” of the case, with graduating doctors having as strong a basic command of each category as the other. The normalization of legal knowledge as part of the clinician’s evidence base to be utilized in practice may provide adequate consolation for clinicians who may initially resent further perceived incursions on their traditional independence and discretion. (shrink)

ArgumentThis article studies the roles three science-based models play in Dutch policy and decision making processes. Key is the interaction between model construction and environment. Their political and scientific environments form contexts that shape the roles of models in policy decision making. Attention is paid to three aspects of the wider context of the models: a) the history of the construction process; b) the political and scientific environments; and c) the use in policy processes over (...) longer periods of time. Models are more successfully used when they are constructed in astablepolitical and scientific environment. Stability and certainty within a scientific field seems to be a key predictor for the usefulness of models for policy making. The economic model is more disputed than the ecology-based model and the model that has its theoretical foundation in physics and chemistry. The roles models play in policy processes are too complex to be considered as straightforward technocratic powers. (shrink)

Our target article identified normativism as the view that rationality should be evaluated against unconditional normative standards. We believe this to be entrenched in the psychological study of reasoning and decision making and argued that it is damaging to this empirical area of study, calling instead for a descriptivist psychology of reasoning and decision making. The views of 29 commentators (from philosophy and cognitive science as well as psychology) were mixed, including some staunch defences of (...) normativism, but also a number that were broadly supportive of our position, although critical of various details. In particular, many defended a position that we call which sees a role for normative evaluation within boundaries alongside more descriptive research goals. In this response, we clarify our use of the term and add discussion of defining both as descriptive and non-normative concepts. We consider the debate with reference to dual-process theory, the psychology of reasoning, and empirical research strategy in these fields. We also discuss cognitive variation by age, intelligence, and culture, and the issue of relative versus absolute definitions of norms. In conclusion, we hope at least to have raised consciousness about the important boundaries between norm and description in the psychology of thinking. (shrink)

Normative accounts in terms of similarity can be deployed in order to provide semantics for systems of context-free default rules and other sophisticated conditionals. In contrast, procedural accounts of decision in terms of similarity (Rubinstein 1997) are hard to reconcile with the normative rules of rationality used in decision-making, even when suitably weakened.

Balance and common sense are commonplace concepts used to bring an audience to a place of shared understanding. These commonplaces also function as decision-making heuristics. I argue in this paper that the commonplaces ?balance? and ?common sense? are problematic because they suggest decision-making strategies that strip associated information of complexity and value. Through an examination of theory and responses to interviews conducted in relation to an ongoing project on environmental rhetoric, I problematize these concepts and consider (...) how awareness of the interaction of these commonplaces and heuristics can benefit rhetors and agencies seeking environmental change. (shrink)

Hamblin distinguished between formal and descriptive dialectic. Formal normative models of deliberation dialogue have been strongly emphasized as argumentation frameworks in computer science. But making such models of deliberation applicable to real natural language examples has reached a point where the descriptive aspect needs more interdisciplinary work. The new formal and computational models of deliberation dialogue that are being built in computer science seem to be closely related to some already existing and very well established computing technologies (...) such as problem solving and decision making, but whether or how dialectical argumentation can be helpful to support these systems remains an open question. The aim of this paper is to examine some real examples of argumentation that seem to hover on the borderlines between deliberation, problem solving and decision making. (shrink)

This paper examines the early years of decision making in the award of the Nobel Prize in physics and chemistry, and shows how the prize became a tool in the boundary work which upheld the social demarcations between scientists and inventors, as well as promoting a particular normative view of individual scientific achievement. The Nobel committees were charged with rewarding scientific achievements that benefited humankind: their interpretation of that criterion, however, turned in the first instance on their assessment (...) of the groundbreaking nature of the ‘science’, with the applied or practical ‘benefits’ of that discovery being treated as very much secondary factors in the award. Through an interrogation of the reports sent by the committees to the Royal Swedish Academy of Sciences, this paper shows how committee members depended on a notion of ‘post-dated utilitarianism’ in reconciling potential tension between rewarding basic and applied science, and explores the ways in which the annual prize both shaped, and was shaped by, media perceptions of scientific virtue. (shrink)

Both economists and psychologists are interested in understanding decision making under uncertainty. Yet, they rely on different concepts to analyse human behaviour: economists use economic preference parameters rooted in utility theory, while psychologists use personality traits to describe responses to uncertain situations. Using a large sample of university students, this study examines and contrasts five economic preference parameters and six psychological personality traits that are commonly used to study individuals’ attitudes towards uncertainty. A novelty of this paper is (...) including both the economic concept of ambiguity aversion as well as the personality trait of ambiguity intolerance. We find that standard economic preference measures based on incentivized choice tasks seem to capture rather different characteristics than psychological personality traits. In contrast, economic preference measures obtained from self-assessment questions appear more related to personality traits, especially ambiguity intolerance. (shrink)

While most of healthcare research and practice fully endorses evidence-based healthcare, a minority view borrows popular themes from philosophy of science like underdetermination and value-ladenness to question the legitimacy of the evidence-based movement’s philosophical underpinnings. While the feminist origins go unacknowledged, those critics adopt a feminist reading of the “gap argument” to challenge the perceived objectivism of evidence-based practice. From there, the critics seem to despair over the “subjective elements” that values introduce to clinical reasoning, demonstrating that they do (...) not subscribe to feminist science studies’ normative program——where contextual values can enable good science and justified decisions. In this paper, I investigate why it is that the critics of evidence-based medicine adopt feminist science’s characterization of the problem but resist the productive solutions offered by those same theorists. I suggest that the common feminist empiricist appeal to idealized epistemic communities is impractical for those working within the current biomedical context and instead offer an alternate stream of feminist research into the empirical content of values (found in the work of Elizabeth Anderson and Sharyn Clough) as a more helpful recourse for facilitating the important task of legitimate and justified clinical decision-making. I use a case study on clinical decision-making to illustrate the fruitfulness of the latter feminist empiricist framework. -/- See response by Sharyn Clough: http://wp.me/p1Bfg0-1aN See reply by Maya Goldenberg: http://wp.me/p1Bfg0-1oY. (shrink)

Rationality in decision making is commonly assessed by comparing choice performance against normative standards. We argue that such a performance-centered approach blurs the distinction between rational choice and adaptive behavior. Instead, rational choice should be assessed with regard to the way individuals make analytic decisions. We suggest that analytic decisions can be made in two different modes in which control processes are directed at different levels. In a RUN mode, thought is directed at controlling the operation of a (...) decision strategy. In the JUMP mode, the individual analyses the interpretation of the decision situation as well as the appropriateness of alternative strategies. We suggest that a decision should be considered “rational” when an individual is able to switch between these modes and balance their interaction. (shrink)

The focus of this paper is the moral and scientific value of ‘expertise by experience’, that is, knowledge based on personal experience of ill mental health as a form of expertise in mental health research. In contrast to individualistic theories of personal autonomy and the first-person in bioethics, my account of shared decision-making is focussed on how a relational approach to the ‘person’ and ‘patient values’ can throw new light on our understanding of ‘voice’ in mental health research. (...) The mistake, I argue, is to think that a commitment to listening to the patient voice in the process of perspective taking implies a threat to ‘objectivity’ in clinical practice and the very concept of evidence in the philosophy of science more generally. Instead, I use Helen Longino's account of epistemic validity in philosophy of science to argue that narrative experience and ‘patient perspective’ should be understood as an ongoing dynamic partnership working between the different stakeholders’ knowledge perspectives. I also address the connection between expertise by experience and the psychiatric significance of the personal self for the entrenched topics of agency, self-hood, personal identity, and self-knowledge in psychiatric diagnosis. In contrast to identity politics, my model of shared decision-making preserves a critical distance between perspective-taking and value itself in self/other appraisal as the gold standard for good clinical practice. (shrink)

Several attempts have been made previously to provide a biological grounding for cognitive architectures by relating their components to the computations of specific brain circuits. Often, the architecture's action selection system is identified with the basal ganglia. However, this identification overlooks one of the most important features of the basal ganglia—the existence of a direct and an indirect pathway that compete against each other. This characteristic has important consequences in decision-making tasks, which are brought to light by Parkinson's (...) disease as well as genetic differences in dopamine receptors. This paper shows that a standard model of action selection in a cognitive architecture cannot replicate any of these findings, details an alternative solution that reconciles action selection in the architecture with the physiology of the basal ganglia, and extends the domain of application of cognitive architectures. The implication of this solution for other architectures and existing models are discussed. (shrink)