A number of important decision domains, including decisions about hiring, global warming, and weather hazards, are characterized by a global–local incompatibility. These domains involve variables that cannot be observed by a single decision maker (DM) and require the integration of observations from locally available information cues. This paper presents a new bifocal lens model that describes how the structure of the environment can lead to a unique form of overconfidence when generalizing the reliability of the local environment to a global (...) scale. When the local environment does not reliably reflect the global environment, they are incompatible. While local perspectives vary across DMs, global–local incompatibility can be understood using the structure of classical test theory as the difference between (a) perceived estimates of the reliability derived from the local environment and (b) the true reliability of the local environment. I model global–local incompatibility as the difference between the true and estimated reliability when the assumptions of classical test theory are violated. Using a series of case studies and an empirical study, I demonstrate the widespread utility of this framework, and I conclude by discussing implications for cognitive–ecological theory, risk communication, and overconfidence. (shrink)

This paper seeks to determine the significance, if any, of epidemiological evidence to prove the specific causation element of liability in negligence or other relevant torts—in particular, what importance can be attached to a relative risk > 2, where that figure represents a sound causal inference at the general level. The paper discusses increased risk approaches to epidemiological evidence and concludes that they are a last resort. The paper also criticizes the proposal that the probability of causation can be estimated (...) with reference to the RR, such that RR > 2 is necessary and sufficient for causation. It is argued, following arguments by Sander Greenland and others, that RR > 2 is not necessary for proof of specific causation, except under restrictive biological assumptions that are not known to be satisfied for any important disease, and therefore must never be required. However, the paper argues that in some circumstances RR > 2 can be sufficient to prove causation at law. This position is defended against the widely held judicial and academic view that epidemiological evidence must be accompanied by something else, particular to the case at hand, if it is to have probative force for specific causation. It is argued that far from being epistemically irrelevant, to achieve correct and just outcomes it is in fact mandatory to take epidemiological evidence into account in deciding specific causation. Failing to consider such evidence when it is available leads to error and injustice. The conclusion is that in certain circumstances epidemiological evidence of RR > 2 is not necessary to prove specific causation but that it is sufficient. This “sufficiency” is confined to circumstances where there is no other evidence, as a way of getting clear on what the epidemiological evidence says. Once we have worked out what it says, this must be weighed against the other relevant evidence, if there is any. (shrink)

For decades, technologies that ease information sharing (e.g., the wireless telegraph; Mckernon, 1925) have inspired concerns about the proliferation of misinformation. Today, these worries often c...

Multiple epistemological programs make use of intuitive judgments pertaining to an individual’s ability to gain knowledge from exclusively probabilistic/statistical information. This paper argues that these judgments likely form without deference to such information, instead being a function of the degree to which having knowledge is representative of an agent. Thus, these judgments fit the pattern of formation via a representativeness heuristic, like that famously described by Kahneman and Tversky to explain similar probabilistic judgments. Given this broad insensitivity to probabilistic/statistical information, (...) it directly follows that these epistemic judgments are insensitive to a given agent’s epistemic status. From this, the paper concludes that, breaking with common epistemological practice, we cannot assume that such judgments are reliable. (shrink)

Mark Alfano claims that the heuristics and biases literature supports inferential cognitive situationism, i.e., the view that most of our inferential beliefs are arrived at and retained by means of unreliable heuristics rather than intellectual virtues. If true, this would present virtue reliabilists with an unpleasant choice: they can either accept inferential skepticism, or modify or abandon reliabilism. Alfano thinks that the latter course of action is most plausible, and several reliabilists seem to agree. I argue that this is not (...) the case. If situationism is true, then inferential non-skepticism is no more plausible than reliabilism. But inferential cognitive situationism is false. The heuristic-based inferences that facilitate successful perception and communication have proven remarkably accurate, and even the psychological research on inductive reasoning does not support Alfano’s situationism. More generally, negative assessments of human reasoning tend to ignore the fact that the research on cognitive biases focuses primarily on the performance of individuals in isolation. Several studies suggest that we reason much more effectively when in critical dialogue with others, which highlights the fact that our epistemic performance depends not only on the inner workings of our cognitive processes, but on the environments in which they operate. (shrink)

Epistemic responsibility involves at least two central ideas. (V) To be epistemically responsible is to display the virtue(s) epistemic internalists take to be central to justification (e.g., coherence, having good reasons, fitting the evidence). (C) In normal (non-skeptical)circumstances and in thelong run, epistemic responsibility is strongly positively correlated with reliability. Sections 1 and 2 review evidence showing that for a wide range of real-world problems, the most reliable, tractable reasoning strategies audaciously flout the internalist''s epistemic virtues. In Section 3, I (...) argue that these results force us to give up either (V), our current conception of what it is to be epistemically responsible, or (C) the responsibility-reliability connection. I will argue that we should relinquish (V). This is likely to reshape our epistemic practices. It will force us to alter our epistemic judgments about certain instances of reasoning, to endorse some counterintuitive epistemic prescriptions, and to rethink what it is for cognitive agents to be epistemically responsible. (shrink)

This article contributes to the current debate regarding management education and research. It frames the current business school critique as a paradox regarding the arguments for ‘self-interest’ versus ‘altruism’ as human motives. Based on this, a typology of management with four representative types labeled: unguided, altruistic, egoistic, and righteous is developed. It is proposed that the path to the future of management education and research might be found by relegitimizing the ‘altruistic’ spirit of the classics of the great Axial Age (...) (900-200 BCE) and marrying those ideas with the self-interest ideal of mainstream management theories based on economics. By advocating this, a business school agenda that is simultaneously rigorous, relevant, and righteous is promoted. (shrink)

Barons's target article approaches errors in decision-making by defining three kinds of models: normative, descriptive, and prescriptive. Baron's prescriptive model is at the center of this commentary. From a theoretical perspective, is Baron's prescriptive model a set of rules through which one can move from the descriptive to the normative? Or is it a practical goal one can achieve as opposed to a normative unachievable theoretical ideal? Delineating an efficient prescriptive account for decision making necessarily depends on a very specific (...) normative model. However, Baron's normative consequentialism model is too general to enable adequate prescriptive accounts. (shrink)

Gigerenzer and his co-workers make some bold and striking claims about the relation between the fast and frugal heuristics discussed in their book and the traditional norms of rationality provided by deductive logic and probability theory. We are told, for example, that fast and frugal heuristics such as “Take the Best” replace “the multiple coherence criteria stemming from the laws of logic and probability with multiple correspondence criteria relating to real-world decision performance.” This commentary explores just how we should interpret (...) this proposed replacement of logic and probability theory by fast and frugal heuristics. (shrink)

This paper argues that, while there is a difference between personal and sub-personal explanation, claims of autonomy should be treated with scepticism. It distinguishes between horizontal and vertical explanatory relations that might hold between facts at the personal and facts at the sub-personal level. Noting that many philosophers are prepared to accept vertical explanatory relations between the two levels, I argue for the stronger claim that, in the case of at least three central personal level phenomena, the demands of explanatory (...) adequacy require postulating horizontal explanatory relations. (shrink)

Given free information and unlimited processing power, should decision algorithms use as much information as possible? A formal model of the decision-making environment is developed to address this question and provide conditions under which informationally frugal algorithms, without any information or processing costs whatsoever, are optimal. One cause of compression that allows optimal algorithms to rationally ignore information is inverse movement of payoffs and probabilities (e.g., high payoffs occur with low probably and low payoffs occur with high probability). If inversely (...) related payoffs and probabilities cancel out, then predictors that correlate with payoffs and consequently condition the probabilities associated with different payoffs will drop out of the expected-payoff objective function, severing the link between information and optimal action rules. Stochastic payoff processes in which rational ignoring occurs are referred to as compressed environments, because optimal action depends on a reduced-dimension subset of the environmental parameters. This paper considers benefits and limitations of economic models versus other methods for studying links between environmental structure and the real-world success of simple decision procedures. Different methods converge on the normative proposition of ecological rationality, as opposed to axiomatic rationality based on informational efficiency and internal consistency axioms, as a superior framework for comparing the effectiveness of decision strategies and prescribing decision algorithms in application. (shrink)

This response agrees with Stanovich's emphasis on the need for decentering, and, in response to Beyth-Marom, attempts to clarify the normative-prescriptive-descriptive distinction and point in the direction of prescriptive models. It takes issue with Cabanac and with Lindsay & Gorayska.

The phenomenon of base-rate neglect has elicited much debate. One arena of debate concerns how people make judgments under conditions of uncertainty. Another more controversial arena concerns human rationality. In this target article, we attempt to unpack the perspectives in the literature on both kinds of issues and evaluate their ability to explain existing data and their conceptual coherence. From this evaluation we conclude that the best account of the data should be framed in terms of a dual-process model of (...) judgment, which attributes base-rate neglect to associative judgment strategies that fail to adequately represent the set structure of the problem. Base-rate neglect is reduced when problems are presented in a format that affords accurate representation in terms of nested sets of individuals. (shrink)

The commentaries indicate a general agreement that one source of reduction of base-rate neglect involves making structural relations among relevant sets transparent. There is much less agreement, however, that this entails dual systems of reasoning. In this response, we make the case for our perspective on dual systems. We compare and contrast our view to the natural frequency hypothesis as formulated in the commentaries.

Definition of the problemThe Shared Decision Making model is becoming increasingly popular also in the German-speaking context, but it only considers values of patients to be relevant for medical decisions. Nevertheless, studies show that the values of physicians are also influential in medical decisions. Moreover, physicians are often unaware of this influence, which makes it impossible to control it.ArgumentsThe influence of both patients’ and physicians’ values is examined from an empirical and normative perspective. The review about the empirical data provides (...) a necessary overview about the status quo, whereas I deduct rules for value-influenced behaviour in the decision making process in the normative approach. Therefore, different scenarios are taken into account to explore in which situations it is acceptable for physicians to let their values be part of the decision making process. The conscious use of values is only possible, when physicians are aware of their influence. To raise awareness, the best option would be to educate future physicians about it in their training. Therefore, this article provides a teaching concept for a unit that could be part of an ethics class for physicians in training. Furthermore, patient’s rights and responsibilities in the decision making process are discussed.ConclusionI conclude that it is necessary to take the influence of values into account and include this knowledge into the training of physicians. Conclusively, recommendations for patients and physicians and their dealing with values in shared decision making processes are suggested. (shrink)

Definition of the problemThe Shared Decision Making model is becoming increasingly popular also in the German-speaking context, but it only considers values of patients to be relevant for medical decisions. Nevertheless, studies show that the values of physicians are also influential in medical decisions. Moreover, physicians are often unaware of this influence, which makes it impossible to control it.ArgumentsThe influence of both patients’ and physicians’ values is examined from an empirical and normative perspective. The review about the empirical data provides (...) a necessary overview about the status quo, whereas I deduct rules for value-influenced behaviour in the decision making process in the normative approach. Therefore, different scenarios are taken into account to explore in which situations it is acceptable for physicians to let their values be part of the decision making process. The conscious use of values is only possible, when physicians are aware of their influence. To raise awareness, the best option would be to educate future physicians about it in their training. Therefore, this article provides a teaching concept for a unit that could be part of an ethics class for physicians in training. Furthermore, patient’s rights and responsibilities in the decision making process are discussed.ConclusionI conclude that it is necessary to take the influence of values into account and include this knowledge into the training of physicians. Conclusively, recommendations for patients and physicians and their dealing with values in shared decision making processes are suggested. (shrink)

Definition of the problemThe Shared Decision Making model is becoming increasingly popular also in the German-speaking context, but it only considers values of patients to be relevant for medical decisions. Nevertheless, studies show that the values of physicians are also influential in medical decisions. Moreover, physicians are often unaware of this influence, which makes it impossible to control it.ArgumentsThe influence of both patients’ and physicians’ values is examined from an empirical and normative perspective. The review about the empirical data provides (...) a necessary overview about the status quo, whereas I deduct rules for value-influenced behaviour in the decision making process in the normative approach. Therefore, different scenarios are taken into account to explore in which situations it is acceptable for physicians to let their values be part of the decision making process. The conscious use of values is only possible, when physicians are aware of their influence. To raise awareness, the best option would be to educate future physicians about it in their training. Therefore, this article provides a teaching concept for a unit that could be part of an ethics class for physicians in training. Furthermore, patient’s rights and responsibilities in the decision making process are discussed.ConclusionI conclude that it is necessary to take the influence of values into account and include this knowledge into the training of physicians. Conclusively, recommendations for patients and physicians and their dealing with values in shared decision making processes are suggested. (shrink)

A framework is presented to better characterize the role of individual differences in information processing style and their interplay with contextual factors in determining decision making quality. In Experiment 1, we show that individual differences in information processing style are flexible and can be modified by situational factors. Specifically, a situational manipulation that induced an analytical mode of thought improved decision quality. In Experiment 2, we show that this improvement in decision quality is highly contingent on the compatibility between the (...) dominant thinking mode and the nature of the task. That is, encouraging an intuitive mode of thought led to better performance on an intuitive task but hampered performance on an analytical task. The reverse pattern was obtained when an analytical mode of thought was encouraged. We discuss the implications of these results for the assessment of decision making competence, and suggest practical directions to help individuals better adjust their information processing style to the situation at hand and make optimal decisions. (shrink)

Can some evidence confirm a conjunction of two hypotheses more than it confirms either of the hypotheses separately? We show that it can, moreover under conditions that are the same for ten different measures of confirmation. Further we demonstrate that it is even possible for the conjunction of two disconfirmed hypotheses to be confirmed by the same evidence.

The flaws in social psychological research pointed out by Cesario have societal costs. These include ignoring crucial base rates thereby degrading the effectiveness of policy decisions, generalizing the conclusions derived from experiments on non-professionals thereby distorting the public's view of professional law enforcement personnel, questionable accusations of racism, and mis-attributions of the causes of racial differences in behavior.

Can the output of human cognition be predicted from the assumption that it is an optimal response to the information-processing demands of the environment? A methodology called rational analysis is described for deriving predictions about cognitive phenomena using optimization assumptions. The predictions flow from the statistical structure of the environment and not the assumed structure of the mind. Bayesian inference is used, assuming that people start with a weak prior model of the world which they integrate with experience to develop (...) stronger models of specific aspects of the world. Cognitive performance maximizes the difference between the expected gain and cost of mental effort. Memory performance can be predicted on the assumption that retrieval seeks a maximal trade-off between the probability of finding the relevant memories and the effort required to do so; in categorization performance there is a similar trade-off between accuracy in predicting object features and the cost of hypothesis formation; in casual inference the trade-off is between accuracy in predicting future events and the cost of hypothesis formation; and in problem solving it is between the probability of achieving goals and the cost of both external and mental problem-solving search. The implemention of these rational prescriptions in neurally plausible architecture is also discussed. (shrink)

Recent decades have seen a surge in interest in metaphilosophy. In particular there has been an interest in philosophical methodology. Various questions have been asked about philosophical methods. Are our methods any good? Can we improve upon them? Prior to such evaluative and ameliorative concerns, however, is the matter of what methods philosophers actually use. Worryingly, our understanding of philosophical methodology is impoverished in various respects. This article considers one particular respect in which we seem to be missing an important (...) part of the picture. While it is a received wisdom that the word “ intuition ” has exploded across analytic philosophy in recent decades, the article presents evidence that the explosion is apparent across a broad swathe of academia. It notes various implications for current methodological debates about the role of intuitions in philosophy. (shrink)

Cognitive algebra strongly disproved the representativeness heuristic almost before it was published; and therewith it also disproved the base rate fallacy. Cognitive algebra provides a theoretical foundation for judgment-decision theory through its joint solution to the two fundamental problems – true measurement of subjective values, and cognitive rules for integration of multiple determinants.

This article addresses the question whether we can know on the basis of folk intuitions that we have character traits. I answer in the negative, arguing that on any of the primary theories of knowledge, our intuitions about traits do not amount to knowledge. For instance, because we would attribute traits to one another regardless of whether we actually possessed such metaphysically robust dispositions, Nozickian sensitivity theory disqualifies our intuitions about traits from being knowledge. Yet we do think we know (...) that we have traits, so I am advancing an error theory, which means that I owe an account of why we fall into error. Why do we feel so comfortable navigating the language of traits if we lack knowledge of them? To answer this question, I refer to a slew of heuristics and biases. Some, like the fundamental attribution error, the false consensus effect, and the power of construal, pertain directly to trait attributions. Others are more general cognitive heuristics and biases whose relevance to trait attributions requires explanation and can be classed under the headings of input heuristics and biases and processing heuristics and biases. Input heuristics and biases include selection bias, availability bias, availability cascade, and anchoring. Processing heuristics and biases include disregard of base rates, disregard of regression to the mean, and confirmation bias. (shrink)

Is more information always better? Or are there some situations in which more information can make us worse off? Good (1967) argues that expected utility maximizers should always accept more information if the information is cost-free and relevant. But Good's argument presupposes that you are certain you will update by conditionalization. If we relax this assumption and allow agents to be uncertain about updating, these agents can be rationally required to reject free and relevant information. Since there are good reasons (...) to be uncertain about updating, rationality can require you to prefer ignorance. (shrink)

These preprints were automatically compiled into a PDF from the collection of papers deposited in PhilSci-Archive in conjunction with the PSA 2018.

People are adept at inferring novel causal relations, even from only a few observations. Prior knowledge about the probability of encountering causal relations of various types and the nature of the mechanisms relating causes and effects plays a crucial role in these inferences. We test a formal account of how this knowledge can be used and acquired, based on analyzing causal induction as Bayesian inference. Five studies explored the predictions of this account with adults and 4-year-olds, using tasks in which (...) participants learned about the causal properties of a set of objects. The studies varied the two factors that our Bayesian approach predicted should be relevant to causal induction: the prior probability with which causal relations exist, and the assumption of a deterministic or a probabilistic relation between cause and effect. Adults’ judgments (Experiments 1, 2, and 4) were in close correspondence with the quantitative predictions of the model, and children’s judgments (Experiments 3 and 5) agreed qualitatively with this account. (shrink)

My dissertation is about Bayesian rationality for non-ideal agents. I show how to derive subjective probabilities from preferences using much weaker rationality assumptions than other standard representation theorems. I argue that non-ideal agents might be uncertain about how they will update on new information and consider two consequences of this uncertainty: such agents should sometimes reject free information and make choices which, taken together, yield sure loss. The upshot is that Bayesian rationality for non-ideal agents makes very different normative demands (...) than ideal Bayesian rationality. (shrink)

Commentators agree that simple conclusions about a general base rate fallacy are not appropriate. It is more constructive to identify conditions under which base rates are differentially weighted. Commentators also agree that improving the ecological validity of the research is desirable, although this is less important to those interested exclusively in psychological processes. The philosophers and ecologists among the commentators offer a kinder perspective on base rate reasoning than the psychologists. My own perspective is that the interesting questions (both psychological (...) and normative/prescriptive) are best answered through empirical studies that use real-world performance standards. (shrink)

We have been oversold on the base rate fallacy in probabilistic judgment from an empirical, normative, and methodological standpoint. At the empirical level, a thorough examination of the base rate literature (including the famous lawyer–engineer problem) does not support the conventional wisdom that people routinely ignore base rates. Quite the contrary, the literature shows that base rates are almost always used and that their degree of use depends on task structure and representation. Specifically, base rates play a relatively larger role (...) in tasks where base rates are implicitly learned or can be represented in frequentist terms. Base rates are also used more when they are reliable and relatively more diagnostic than available individuating information. At the normative level, the base rate fallacy should be rejected because few tasks map unambiguously into the narrow framework that is held up as the standard of good decision making. Mechanical applications of Bayes's theorem to identify performance errors are inappropriate when (1) key assumptions of the model are either unchecked or grossly violated, and (2) no attempt is made to identify the decision maker's goals, values, and task assumptions. Methodologically, the current approach is criticized for its failure to consider how the ambiguous, unreliable, and unstable base rates of the real world are and should be used. Where decision makers' assumptions and goals vary, and where performance criteria are complex, the traditional Bayesian standard is insufficient. Even where predictive accuracy is the goal in commonly defined problems, there may be situations (e.g., informationally redundant environments) in which base rates can be ignored with impunity. A more ecologically valid research program is called for. This program should emphasize the development of prescriptive theory in rich, realistic decision environments. (shrink)

Base rates have no necessary relation to judgments that are not themselves probabilities. There is no logical imperative, for instance, that behavioral base rates must affect causal attributions or that base rate information should affect judgments of legal liability. Decision theorists should be cautious in arguing that base rates place normative constraints on judgments of anything other than posterior probabilities.

Abstract(1) The miscitations of seminal experiments in the base rate literature adds to the existing database of systematic miscitations of wellknown psychological experiments. These miscitations may be caused by a process of reconstructive remembering. (2) Representative design should be the methodological core of Koehler's call for ecologically valid research. This approach can benefit both basic and applied research.

Koehler's summary and critique of research on the base rate fallacy is cogent and persuasive. However, he may have overstated the case, and his suggestions for future research may be too restrictive. We agree that methodological approaches to this topic should be broadened, but we argue that experimental laboratory research and the Bayesian normative standard are useful and should not be abandoned.