A dual-processing model of moral whistleblowing in organizations is proposed. In this theory paper, moral whistleblowing is described as a unique type of whistleblowing that is undertaken by individuals that see themselves as moral agents and are primarily motivated to blow the whistle by a sense of moral duty. At the individual level, the model expands on traditional, rational models of whistleblowing by exploring how moral intuition and deliberative reasoning processes might interact to influence the whistleblowing behavior of (...) moral agents. The model combines individual variables, organizational variables, and external, societal variables to explain the moral whistleblowing process and the impact of moral agents on organizations and society. (shrink)

How much would you pay to play a lottery with an “infinite expected payoff?” In the case of the century old, St. Petersburg Paradox, the answer is that the vast majority of people would only pay a small amount. The authors seek to understand this paradox by providing an explanation consistent with a broad, process‐level model of human decision‐making under risk.

One striking observation in the history of rational choice models is that those models have not only been used in economics but spread widely across the social and behavioral sciences. How do such model transfers proceed? By closely studying the early efforts to transfer such models by William Riker – a major protagonist in pushing the adoption of game theoretic models in political science – this article examines the transfer process as one of ‘translation’ (...) by which abstract and mathematical rational choice models were constructed and modified such that they applied to a specific target system in a new domain. In this paper, we argue that to overcome a set of challenges that hampered the straightforward transfer of game theoretic models into political science, Riker complemented theoretical and conceptual modifications of von Neumann and Morgenstern’s game schemes with the use of narratives to turn them into applicable and testable models. As such, those narratives played a crucial role in enabling their transfer and ultimately facilitated the applicability of game theoretic models in political science. (shrink)

Research on “improper” linear models has shown that predetermined weighting schemes for the linear model, such as equally weighting all predictors, can be surprisingly accurate on cross-validation. We review recent advances that can characterize the optimal choice of an improper linear model. We extend this research to the understanding of fast and frugal heuristics, particularly to the ecologically rational goal of understanding in which task environments given heuristics are optimal. We demonstrate how to test this model using the (...) Recognition Heuristic and Take the Best heuristic, show how the model reconciles with the ecological rationality program, and discuss how our prescriptive, computational approach could be approximated by simpler mental rules that might be more descriptive. Echoing the arguments of van Rooij et al., we stress the virtue of having a computationally tractable model of strategy selection, even if one proposes that cognizers use a simpler heuristic process to approximate it. (shrink)

Drawing on the dual process framework from social and cognitive psychology, this paper reconciles two distinct conceptualizations of trust prevalent in the literature: “rational” calculative and irrational “affective” or normative. After critically reviewing previous attempts at reconciliation between these distinctions, we argue that the notion of trust as “reliance” is the higher order category of which “deliberate trust” and “intuitive faith” are subtypes. Our revised approach problematizes the conflation of epistemic uncertainty with phenomenological uncertainty while providing sound footing (...) for a key sociological insight: that reliance on the routine social order is both the cognitive default and based on substantial practical evidence. We develop two broad suggestions for future research from these implications: sociological research should examine the role of intuitive faith—as opposed to deliberate trust—in late modern societies, and analysts should challenge the role of deliberate trust as the “modal” form of reliance in contemporary research. (shrink)

Mitchell et al. argue that conditioning phenomena may be better explained by high-level, rational processes, rather than by non-cognitive associative mechanisms. This commentary argues that this viewpoint is compatible with neuroscientific data, may extend to nonhuman animals, and casts computational models of reinforcement learning in a new light.

Whereas classic work in judgment and decision making has focused on the deviation of intuition from rationality, more recent research has focused on the performance of intuition in real-world environments. Borrowing from both approaches, we investigate to which extent competing models of intuitive probabilistic decision making overlap with choices according to the axioms of probability theory and how accurate those models can be expected to perform in real-world environments. Specifically, we assessed to which extent heuristics, models implementing (...) weighted additive information integration (WADD), and the parallel constraint satisfaction (PCS) network model approximate the Bayesian solution and how often they lead to correct decisions in a probabilistic decision task. PCS and WADD outperform simple heuristics on both criteria with an approximation of 88.8% and a performance of 73.7%. Results are discussed in the light of selection of intuitive processes by reinforcement learning. (shrink)

Rationality bashing has become a popular sport. Critiques have quite rightly challenged models of rational planning that follow a linear progression from predefined ends to achieved goals. There have been several alternative theoretical and empirical developments including incrementalist projects, network theories, critical communication approaches, and heuristic models. Notwithstanding critiques of linear models of policy-making and planning, rationality as a general idea remains an important reference point for designing and evaluating policy-making and for orientating planning projects. We (...) suggest that the concept of rationality needs to be revised rather than abandoned and this article discusses how rationality in decision making may be reconstructed. We first review and critique some of the main preconceptions of rationality in policy-making and planning. We then discuss the nature and purpose of rationality from the perspective of John Dewey’s pragmatist philosophy and in light of contemporary theoretical and empirical analyses. We position rationality as a procedural standard of excellence that evolves and informs practices in the context of problematic situations. We propose that a theory of rationality, as a guide for planning and policy, should be developed for application in concrete problematic situations and at the same time should play a normative role and be orientated to moral, socio-historical, and ecological considerations. Dewey’s pragmatist theory is a promising source for such considerations. In this article we identify four ‘pillars’ of pragmatism to support such a revised rationality construct: (i) situationality, (ii) normativity, (iii) philosophical via media between foundationalism and relativism, and (iv) democratic inquiry. We discuss the application of a pragmatist rationality, that we refer to as ‘situational transactive’ rationality, using a model of decision making that builds on current understandings in planning and policy science. Finally, we discuss some of the possible advantages and challenges of undertaking such a pragmatist revision of rationality. (shrink)

Marr's levels of analysis—computational, algorithmic, and implementation—have served cognitive science well over the last 30 years. But the recent increase in the popularity of the computational level raises a new challenge: How do we begin to relate models at different levels of analysis? We propose that it is possible to define levels of analysis that lie between the computational and the algorithmic, providing a way to build a bridge between computational- and algorithmic-level models. The key idea is to (...) push the notion of rationality, often used in defining computational-level models, deeper toward the algorithmic level. We offer a simple recipe for reverse-engineering the mind's cognitive strategies by deriving optimal algorithms for a series of increasingly more realistic abstract computational architectures, which we call “resource-rational analysis.”. (shrink)

John Broome has developed an account of rationality and reasoning which gives philosophical foundations for choice theory and the psychology of rational agents. We formalize his account into a model that differs from ordinary choice-theoretic models through focusing on psychology and the reasoning process. Within that model, we ask Broome’s central question of whether reasoning can make us more rational: whether it allows us to acquire transitive preferences, consistent beliefs, non-akratic intentions, and so on. We identify (...) three structural types of rationality requirements: consistency requirements, completeness requirements, and closedness requirements. Many standard rationality requirements fall under this typology. Based on three theorems, we argue that reasoning is successful in achieving closedness requirements, but not in achieving consistency or completeness requirements. We assess how far our negative results reveal gaps in Broome's theory, or deficiencies in choice theory and behavioral economics. (shrink)

How do business leaders make ethical decisions? Given the significant and wide-spread impact of business people’s decisions on multiple constituents, how they make decisions matters. Unethical decisions harm the decision makers themselves as well as others, whereas ethical decisions have the opposite effect. Based on data from a study on strategic decision making by 16 effective chief executive officers, I propose a model for ethical decision making in business in which reasoning and intuition interact through forming, recalling, and applying moral (...) principles necessary for long-term success in business. Following the CEOs in the study, I employ a relatively new theory, rational egoism, as the substantive content of the model and argue it to be consistent with the requirements of long-term business success. Besides explaining the processes of forming and applying principles, I briefly describe rational egoism and illustrate the model with a contemporary moral dilemma of downsizing. I conclude with implications for further research and ethical decision making in business. (shrink)

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)

While game theory has been transformative for decision making, the assumptions made can be overly restrictive in certain instances. In this work, we investigate some of the underlying assumptions of rationality, such as mutual consistency and best response, and consider ways to relax these assumptions using concepts from level-k reasoning and quantal response equilibrium (QRE) respectively. Specifically, we propose an information-theoretic two-parameter model called the quantal hierarchy model, which can relax both mutual consistency and best response while still approximating level-k, (...) QRE, or typical Nash equilibrium behavior in the limiting cases. The model is based on a recursive form of the variational free energy principle, representing higher-order reasoning as (pseudo) sequential decision-making in extensive-form game tree. This representation enables us to treat simultaneous games in a similar manner to sequential games, where reasoning resources deplete throughout the game-tree. Bounds in player processing abilities are captured as information costs, where future branches of reasoning are discounted, implying a hierarchy of players where lower-level players have fewer processing resources. We demonstrate the effectiveness of the quantal hierarchy model in several canonical economic games, both simultaneous and sequential, using out-of-sample modelling. (shrink)

Although Stanovich & West (S&W) are likely to be criticized for not proposing a process model, results of such a model (fuzzy-trace theory) support many of their conclusions. However, arguments concerning evolution and Gricean intelligence are weak. Finally, developmental data are relevant to rationality, but contradictory results suggest a dual-processes approach that differs from S&W's based on fuzzy-trace theory.

Decisions concerning proof of facts in criminal law must be rational because of what is at stake, but the decision‐making process must also be cognitively feasible because of cognitive limitations, and it must obey the relevant legal–procedural constraints. In this topic three approaches to rational reasoning about evidence in criminal law are compared in light of these demands: arguments, probabilities, and scenarios. This is done in six case studies in which different authors analyze a manslaughter case from (...) different theoretical perspectives, plus four commentaries on these case studies. The aim of this topic is to obtain more insight into how the different approaches can be applied in a legal context. This will advance the discussion on rational reasoning about evidence in law and will contribute more widely to cognitive science on a number of topics, including the value of probabilistic accounts of cognition and the problem of dealing with cognitive biases in reasoning under uncertainty in practical contexts. (shrink)

In his famous 1982 paper, Allen Newell [22, 23] introduced the notion of knowledge level to indicate a level of analysis, and prediction, of the rational behavior of a cognitive arti cial agent. This analysis concerns the investigation about the availability of the agent knowledge, in order to pursue its own goals, and is based on the so-called Rationality Principle (an assumption according to which "an agent will use the knowledge it has of its environment to achieve its goals" (...) [22, p. 17]. By using the Newell's own words: "To treat a system at the knowledge level is to treat it as having some knowledge, some goals, and believing it will do whatever is within its power to attain its goals, in so far as its knowledge indicates" [22, p. 13]. In the last decades, the importance of the knowledge level has been historically and system- atically downsized by the research area in cognitive architectures (CAs), whose interests have been mainly focused on the analysis and the development of mechanisms and the processes governing human and (arti cial) cognition. The knowledge level in CAs, however, represents a crucial level of analysis for the development of such arti cial general systems and therefore deserves greater research attention [17]. In the following, we will discuss areas of broad agree- ment and outline the main problematic aspects that should be faced within a Common Model of Cognition [12]. Such aspects, departing from an analysis at the knowledge level, also clearly impact both lower (e.g. representational) and higher (e.g. social) levels. (shrink)

The estrangement between genetic scientists and theologians originating in the 1960s is reflected in novel combinations of human thought (subject) and genes (investigational object), paralleling each other through the universal process known in chaos theory as self-similarity. The clash and recombination of genes and knowledge captures what Philip Hefner refers to as irony, one of four voices he suggests transmit the knowledge and arguments of the religion-and-science debate. When viewed along a tangent connecting irony to leadership, journal dissemination, and (...) the activities of the "public intellectual" and the public at large, the sequence of voices is shown to resemble the passage of genetic information from DNA to mRNA, tRNA, and protein, and from cell nucleus to surrounding environment. In this light, Hefner's inquiry into the voices of Zygon is bound up with the very subject matter Zygon covers. (shrink)

A surge of empirical research demonstrating flexible cognition in animals and young infants has raised interest in the possibility of rational decision-making in the absence of language. A venerable position, which I here call “Classical Inferentialism”, holds that nonlinguistic agents are incapable of rational inferences. Against this position, I defend a model of nonlinguistic inferences that shows how they could be practically rational. This model vindicates the Lockean idea that we can intuitively grasp rational connections between (...) thoughts by developing the Davidsonian idea that practical inferences are at bottom categorization judgments. From this perspective, we can see how similarity-based categorization processes widely studied in human and animal psychology might count as practically rational. The solution involves a novel hybrid of internalism and externalism: intuitive inferences are psychologically rational (in the explanatory sense) given the intensional sensitivity of the similarity assessment to the internal structure of the agent's reasons for acting, but epistemically rational (in the justificatory sense) given an ecological fit between the features matched by that assessment and the structure of the agent's environment. The essay concludes by exploring empirical results that show how nonlinguistic agents can be sensitive to these similarity assessments in a way that grants them control over their opaque judgments. (shrink)

A surge of empirical research demonstrating flexible cognition in animals and young infants has raised interest in the possibility of rational decision‐making in the absence of language. A venerable position, which I here call “Classical Inferentialism”, holds that nonlinguistic agents are incapable of rational inferences. Against this position, I defend a model of nonlinguistic inferences that shows how they could be practically rational. This model vindicates the Lockean idea that we can intuitively grasp rational connections between (...) thoughts by developing the Davidsonian idea that practical inferences are at bottom categorization judgments. From this perspective, we can see how similarity‐based categorization processes widely studied in human and animal psychology might count as practically rational. The solution involves a novel hybrid of internalism and externalism: intuitive inferences are psychologically rational (in the explanatory sense) given the intensional sensitivity of the similarity assessment to the internal structure of the agent's reasons for acting, but epistemically rational (in the justificatory sense) given an ecological fit between the features matched by that assessment and the structure of the agent's environment. The essay concludes by exploring empirical results that show how nonlinguistic agents can be sensitive to these similarity assessments in a way that grants them control over their opaque judgments. (shrink)

In this commentary, I highlight the relevance of Cushman's target article for the popular dual-process framework of thinking. I point to the problematic characterization of rationalization in traditional dual-process models and suggest that in line with recent advances, Cushman's rational rationalization account offers a way out of the rationalization paradox.

This article examines cognitive process models of human sentence comprehension based on the idea of informed search. These models are rational in the sense that they strive to find a good syntactic analysis quickly. Informed search derives a new account of garden pathing that handles traditional counterexamples. It supports a symbolic explanation for local coherence as well as an algorithmic account of entropy reduction. The models are expressed in a broad framework for theories of human (...) sentence comprehension. (shrink)

An increasingly prevalent approach to studying human cognition is to construe the mind as optimally allocating limited cognitive resources among cognitive processes. Under this bounded rationality approach (Icard in Philos Sci 85(1):79–101, 2018; Simon in Utility and probability, Palgrave Macmillan, 1980), it is common to assume that resource-bounded cognitive agents approximate normative solutions to statistical inference problems, and that much of the bias and variability in human performance can be explained in terms of the approximation strategies we employ. In this (...) paper, we argue that this approach restricts itself to an unnecessarily narrow scope of cognitive models, which limits its ability to explain how humans flexibly adapt their representations to novel environments. We argue that more attention should be paid to how we form our cognitive representations in the first place, and advocate for pluralistic framework which jointly optimizes over both representations and algorithms for manipulating them. We identify several fundamental trade-offs that manifest in this joint optimization, and draw on recent work to motivate a unified formal framework for this analysis. We illustrate a simplified version of this analysis with a case study in social cognition, and outline several new directions for research that this approach suggests. (shrink)

Opinion leaders are informal leaders who have the ability to influence others' decisions about adopting new products, practices or ideas. In the healthcare setting, the importance of translating new research evidence into practice has led to interest in understanding how opinion leaders could be used to speed this process. Despite continued interest, gaps in understanding opinion leadership remain. Agent‐based models are computer models that have proven to be useful for representing dynamic and contextual phenomena such as opinion (...) leadership. The purpose of this paper is to describe the work conducted in preparation for the development of an agent‐based model of nursing opinion leadership. The aim of this phase of the model development project was to clarify basic assumptions about opinions, the individual attributes of opinion leaders and characteristics of the context in which they are effective. The process used to clarify these assumptions was the construction of a preliminary nursing opinion leader model, derived from philosophical theories about belief formation. (shrink)

The recently proposed Cognitive Experiential Leadership Model states that leaders’ preference for rational thinking and behavioral coping will be related to their level of transformational leadership. The CELM was based on research that principally used cross-sectional self-report methods. Study 1 compared both self-ratings and follower-ratings of leadership styles with leaders’ self-rated thinking styles in 160 leader-follower dyads. Study 2 compared both self-ratings and coworker-ratings of leadership styles with leaders’ self-rated thinking styles for 74 leaders rated by 607 coworkers. In (...) both Studies, leaders’ rational thinking, imaginative thinking, and behavioral coping correlated positively with their self-rated transformational leadership. However, only behavioral coping, but not rational thinking, was correlated with follower-rated transformational leadership in Study 1, and thinking styles were unrelated to other-rated transformational leadership in Study 2. These results partly support and partly challenge the CELM. Practically, this study suggests that leadership may be improved by leaders developing their capacity for behavioral coping. (shrink)

The commentaries suggest many important improvements to the target article. They clearly distinguish two varieties of rationalization – the traditional “motivated reasoning” model, and the proposed representational exchange model – and show that they have distinct functions and consequences. They describe how representational exchange occurs not only by post hoc rationalization but also by ex ante rationalization and other more dynamic processes. They argue that the social benefits of representational exchange are at least as important as its direct personal benefits. (...) Finally, they construe our search for meaning, purpose, and narrative – both individually and collectively – as a variety of representational exchange. The result is a theory of rationalization as representational exchange both wider in scope and better defined in mechanism. (shrink)

This work contrasts the formalist approach to defining explanation in science, exemplified in the Deductive-Nomenological Model of Carl G. Hempel, with the contextualist approach of Thomas Kuhn. It is argued that both of these attempts to define the explanatory processes of science are inadequate. A connection is made between the view of rationality upon which each view is based and the way that it defines explanation. It is argued that a process of thought, which scientific explanation represents, is considered (...) rational by these thinkers only if it meets the criteria of constraint under a rule, distance from subjective considerations and instrumental connection of method and goal. Given this strong definition of rationality, explanation is defined by both Kuhn and Hempel as thought within the constraint of a theory or a theoretical paradigm. Under this construal, explanation is separated as a process from theory invention which both thinkers hold to involve primarily non-cognitive criteria of choice. It is argued in this work that such a view contradicts the actual practice of science where theory invention seems to be primarily a process of rational explaining. ;A detailed historical case of an attempt to explain organic morphogenesis is given. It centers on the theory of generation of Pierre Louis Moreau de Maupertuis, an 18th Century scientific thinker. This case is meant to illustrate the kinds of cognitive interest and strategies of invention that go into dealing with an explanatory problem in science. ;Finally some general programmatic conclusions are made relating the foregoing arguments and the case, to the need to explore the nature of scientific explanation in the domain of theory invention where the reasoning processes seem to involve analogical reasoning and critical metaphysical thought. (shrink)

Purpose: Ernst von Glasersfeld’s question concerning the relationship between scientific/ rational knowledge and the domain of wisdom and how these forms of knowledge come about is the starting point. This article aims at developing an epistemological as well as methodological framework that is capable of explaining how profound change can be brought about in various contexts, such as in individual cultivation, in organizations, in processes of radical innovation, etc. This framework is based on the triple-loop learning strategy and the (...) U-theory approach, which opens up a perspective on how the domains of scientific/rational knowledge, constructivism, and wisdom could grow together more closely. Design/Structure: This article develops a strategy which is referred to as “tripleloop learning,” which is not only the basis for processes of profound change, but also brings about a new dimension in the field of learning and knowledge dynamics: the existential realm and the domain of wisdom. A concrete approach that puts into practice the tripleloop learning strategy is presented. The final section shows, how these concepts can be interpreted in the context of the constructivist approach and how they might offer some extensions to this paradigm. Findings: The process of learning and change has to be extended to a domain that concerns existential issues as well as questions of wisdom. Profound change can only happen if these domains are taken into consideration. The tripleloop learning strategy offers a model that fulfills this criterion. It is an “epistemo-existential strategy” for profound change on various levels. Conclusions: The (cognitive) processes and attitudes of receptivity, suspension, redirecting, openness, deep knowing, as well as “profound change/innovation from the interior” turn out to be core concepts in this process. They are compatible with constructivist concepts. Von Glasersfeld’s concept of functional fitness is carried to an extreme in the suggested approach of profound change and finds an extension in the existential domain. Key words: Double-loop learning, individual cultivation, (radical) innovation, knowledge creation, knowledge society, personality development, presencing, profound change, triple-loop learning, U-theory, wisdom. (shrink)

Withholding or withdrawing life-saving ventilators can become necessary when resources are insufficient. In the USA, such rationing has unique social justice dimensions. Structural elements of dominant allocation frameworks simultaneously advantage white communities, and disadvantage Black communities—who already experience a disproportionate burden of COVID-19-related job losses, hospitalisations and mortality. Using the example of New Jersey’s Crisis Standard of Care policy, we describe how dominant rationing guidance compounds for many Black patients prior unfair structural disadvantage, chiefly due to the way creatinine and (...) life expectancy are typically considered.We outline six possible policy options towards a more just approach: improving diversity in decision processes, adjusting creatinine scores, replacing creatinine, dropping creatinine, finding alternative measures, adding equity weights and rejecting the dominant model altogether. We also contrast these options with making no changes, which is not a neutral default, but in separate need of justification, despite a prominent claim that it is simply based on ‘objective medical knowledge’. In the regrettable absence of fair federal guidance, hospital and state-level policymakers should reflect on which of these, or further options, seem feasible and justifiable.Irrespective of which approach is taken, all guidance should be supplemented with a monitoring and reporting requirement on possible disparate impacts. The hope that we will be able to continue to avoid rationing ventilators must not stand in the way of revising guidance in a way that better promotes health equity and racial justice, both to be prepared, and given the significant expressive value of ventilator guidance. (shrink)

Emergence seems necessary for any naturalistic account of the world — none of our familiar world existed at the time of the Big Bang, and it does now — and normative emergence is necessary for any naturalistic account of biology and mind — mental phenomena, such as representation, learning, rationality, and so on, are normative. But Jaegwon Kim’s argument appears to render causally efficacious emergence impossible, and Hume’s argument appears to render normative emergence impossible, and, in its general form, it (...) precludes any emergence at all. I argue that both of these barriers can be overcome, and, in fact, that they each constitute reductios of their respective underlying presuppositions. In particular, causally efficacious ontological emergence can be modeled, but only within a process metaphysics, thus avoiding Kim’s argument, and by making use of non-abbreviatory forms of definition, thus avoiding Hume’s argument. I illustrate these points with models of the emergent nature of normative function and of representation. (shrink)

Bayesian models of legal arguments generally aim to produce a single integrated model, combining each of the legal arguments under consideration. This combined approach implicitly assumes that variables and their relationships can be represented without any contradiction or misalignment, and in a way that makes sense with respect to the competing argument narratives. This paper describes a novel approach to compare and ‘average’ Bayesian models of legal arguments that have been built independently and with no attempt to make (...) them consistent in terms of variables, causal assumptions or parameterization. The approach involves assessing whether competing models of legal arguments are explained or predict facts uncovered before or during the trial process. Those models that are more heavily disconfirmed by the facts are given lower weight, as model plausibility measures, in the Bayesian model comparison and averaging framework adopted. In this way a plurality of arguments is allowed yet a single judgement based on all arguments is possible and rational. (shrink)

Implicit cognition is cognition that happens automatically and (typically) non-consciously. In moral psychology, implicit cognition is almost always understood in terms of dual process models of moral judgment. In this chapter, we address the question whether implicit moral judgment is usefully cashed out in terms of automatic (“type 1”) processes, and what the limitations of this approach are. Our chapter has six sections. In (1), we provide a brief overview of dual process models of domain-general (moral (...) and non-moral) cognition. (2) reviews a recent debate regarding the soundness of dual process models to begin with. Section (3) is about dual process accounts of moral judgment specifically. The last three sections then survey attempts to go beyond a simplistic automatic/controlled (“type 2”) distinction in conceptualizing implicit moral cognition. Recently, three main theoretical approaches have emerged, which all revolve around the questions whether type 2 processing can successfully penetrate implicit moral cognition. First, rational learning approaches highlight how episodes of moral learning can feed back into and shape our moral intuitions (4). Second, so-called triple process models suggest that automatic cognitive outputs can under certain circumstances be reined in by reflective cognition (5). Finally, recent evidence shows that moral reasoning is not as impotent as earlier developments in empirical moral psychology claimed to demonstrate (6). (shrink)

There are Humeans and unHumeans, disagreeing as to the validity of the Treatise’s ideas regarding practical reason, but not as to their importance. The basic argument here is that the enduring irresolution of their Hume centric debates has been fostered by what can be called the fallacy of normative monism, i.e. a failure to distinguish between two different kinds of normativity: empirical vs. rational. Humeans take the empirical normativity of personal desire to constitute the only real kind, while unHumeans (...) insist that only the objective rationality associated with categorical morality can provide reliable normative guidance. In turn, the failure to recognize the dual nature of normativity has helped engender motivational obscurantism: as essentially causal notions, motive and motivation obscure the rational processes that lie at the heart of deliberation and choice. Once it is realized that normativity takes two different forms, each with its own distinctive role, it becomes possible to mediate if not mitigate the differences between Humeans and unHumeans. Choice will be the key to understanding practical reasoning, and its analysis will provide the basis for a belief/desire model that upends conventional wisdom regarding motivation and desire. (shrink)

This introductory chapter explains the coverage of this book, which is about animal rationality and mental processing in animals. This book discusses the theoretical issues and distinctions that bear on attributions of rationality to animals and draws some contrasts between rationality and certain other traits of animals to determine the relationships between them. It explores the relations between behaviour and the processes that explain behaviour, and the senses in which animal behaviour might be rational in virtue of features other (...) than classical reasoning processes on the human model. -/- . (shrink)

The prominence of Bayesian modeling of cognition has increased recently largely because of mathematical advances in specifying and deriving predictions from complex probabilistic models. Much of this research aims to demonstrate that cognitive behavior can be explained from rational principles alone, without recourse to psychological or neurological processes and representations. We note commonalities between this rational approach and other movements in psychology – namely, Behaviorism and evolutionary psychology – that set aside mechanistic explanations or make use of (...) optimality assumptions. Through these comparisons, we identify a number of challenges that limit the rational program's potential contribution to psychological theory. Specifically, rational Bayesian models are significantly unconstrained, both because they are uninformed by a wide range of process-level data and because their assumptions about the environment are generally not grounded in empirical measurement. The psychological implications of most Bayesian models are also unclear. Bayesian inference itself is conceptually trivial, but strong assumptions are often embedded in the hypothesis sets and the approximation algorithms used to derive model predictions, without a clear delineation between psychological commitments and implementational details. Comparing multiple Bayesian models of the same task is rare, as is the realization that many Bayesian models recapitulate existing (mechanistic level) theories. Despite the expressive power of current Bayesian models, we argue they must be developed in conjunction with mechanistic considerations to offer substantive explanations of cognition. We lay out several means for such an integration, which take into account the representations on which Bayesian inference operates, as well as the algorithms and heuristics that carry it out. We argue this unification will better facilitate lasting contributions to psychological theory, avoiding the pitfalls that have plagued previous theoretical movements. (shrink)

Dual-process theories of the mind emphasize how reasoning is an interplay between intuitive and reflective thinking. This paper aims to understand how the two types of processing interact in the moral domain. According to a ‘default-interventionist’ model of moral reasoning intuition and reflection are conflicting cognitions: intuitive thinking would elicit heuristic and deontological responses, whereas reflection would favour utilitarian judgements. However, the evidence for the default interventionist view is inconclusive and challenged by a growing amount of counterevidence in recent (...) years. The recent empirical findings favour an interdependent rather than conflicting view of the two types of information processing in the moral domain. In this view, which I call dual-process reflective equilibrium, intuition and reflection cooperate in moral reasoning to reach a reflective goal, which is supposedly normative justification. In sum, on the one hand, the scope of moral intuitions extends to selecting relevant information and calling for reflection whenever a problem presents conflicting aspects; on the other hand, the purpose of moral reflection is to rationalize pre-reflective intuitions to provide articulated and accessible reasons. (shrink)

Computational models have shown how polarisation can rise among deliberating agents as they approximate epistemic rationality. This paper provides further support for the thesis that polarisation can rise under condition of epistemic rationality, but it does not depend on limitations that extant models rely on, such as memory restrictions or biased evaluation of other agents’ testimony. Instead, deliberation is modelled through agents’ purposeful introduction of arguments and their rational reactions to introductions of others. This process induces (...) polarisation dynamics on its own. A second result is that the effect size of polarisation dynamics correlates with particular types of argumentative behaviour. Polarisation effects can be soothed when agents take into account the opinions of others as premises, and they are amplified as agents fortify their own beliefs. These results underpin the relevance of argumentation as a factor in social-epistemic processes and indicate that rising issue polarisation is not a reliable indicator of epistemic shortcomings. (shrink)

The point of this paper is to provide a principled framework for a naturalistic, interactivist-constructivist model of rational capacity and a sketch of the model itself, indicating its merits. Being naturalistic, it takes its orientation from scientific understanding. In particular, it adopts the developing interactivist-constructivist understanding of the functional capacities of biological organisms as a useful naturalistic platform for constructing such higher order capacities as reason and cognition. Further, both the framework and model are marked by the finitude and (...) fallibility that science attributes to organisms, with their radical consequences, and also by the individual and collective capacities to improve their performances that learning organisms display. Part A prepares the ground for the exposition through a critique of the dominant Western analytic tradition in rationalising science, followed by a brief exposition of the naturalist framework that will be employed to frame the construction. This results in two sets of guidelines for constructing an alternative. Part B provides the new conception of reason as a rich complex of processes of improvement against epistemic values, and argues its merits. It closes with an account of normativity and our similarly developing rational knowledge of it, including (reflexively) of reason itself. (shrink)

Research on bounded rationality has two cultures, which I call ‘idealistic’ and ‘pragmatic’. Technically, the cultures differ on whether they build models based on normative axioms or empirical facts, assume that people's goal is to optimize or to satisfice, do not or do model psychological processes, let parameters vary freely or fix them, aim at explanation or prediction and test models from one or both cultures. Each culture tells a story about people's rationality. The story of the idealistic (...) culture is frustrating, with people in principle being able to know what they should do, but in practice systematically failing to do it. This story makes one hide in books for intellectual solace or surrender to the designs of someone smarter. The story of the pragmatic culture is empowering: If people are educated to use the right tool in the right situation, they do well. (shrink)

Game-theoretic solution concepts describe sets of strategy profiles that are optimal for all players in some plausible sense. Such sets are often found by recursive algorithms like iterated removal of strictly dominated strategies in strategic games, or backward induction in extensive games. Standard logical analyses of solution sets use assumptions about players in fixed epistemic models for a given game, such as mutual knowledge of rationality. In this paper, we propose a different perspective, analyzing solution algorithms as processes of (...) learning which change game models. Thus, strategic equilibrium gets linked to fixed-points of operations of repeated announcement of suitable epistemic statements. This dynamic stance provides a new look at the current interface of games, logic, and computation. (shrink)

I model sequential decisions over multiple interconnected propositions and investigate path-dependence in such decisions. The propositions and their interconnections are represented in propositional logic. A sequential decision process is path-dependent if its outcome depends on the order in which the propositions are considered. Assuming that earlier decisions constrain later ones, I prove three main results: First, certain rationality violations by the decision-making agent—individual or group—are necessary and sufficient for path-dependence. Second, under some conditions, path-dependence is unavoidable in decisions made (...) by groups. Third, path-dependence makes decisions vulnerable to strategic agenda setting and strategic voting. I also discuss escape routes from path-dependence. My results are relevant to discussions on collective consistency and reason-based decision-making, focusing not only on outcomes, but also on underlying reasons, beliefs, and constraints. (shrink)

This paper expands the model of rational action by introducing a new concept. rational laziness, to better understand actors’ decision making. In addition to rational information processing, human beings often rely on automatic and lion-cognitive mental capacities, and I use the term mental laziness to account for information processing based on these capacities. When time is limited, supply abundant, and decisions have to be made, mental laziness might be a rational decision device. Actors’ choice of (...) class='Hi'>rational-calculating or automatic-spontaneous mental decision devices is contingent on their locations within an opportunity structure. The empirical case studied is employers’ hiring processes, and employers’ activation of these action generating mechanisms are expected to cause discrimination of job applicants categorized as out-groups members. (shrink)

In this response, we clarify several misunderstandings of the understanding/acceptance principle and defend our specific operationalization of that principle. We reiterate the importance of addressing the problem of rational task construal and we elaborate the notion of computational limitations contained in our target article. Our concept of thinking dispositions as variable intentional-level styles of epistemic and behavioral regulation is explained, as is its relation to the rationality debate. Many of the suggestions of the commentators for elaborating two-process (...) class='Hi'>models are easily integrated into our generic dual-process account. We further explicate how we view the relation between System 1 and System 2 and evolutionary and normative rationality. We clarify our attempt to fuse the contributions of the cognitive ecologists with the insights of the original heuristics and biases researchers. (shrink)

Recent studies indicate that the processing of an unexpected word is costly when the initial, disconfirmed prediction was strong. This penalty was suggested to stem from commitment to the strongly predicted word, requiring its inhibition when disconfirmed. Additional studies show that comprehenders rationally adapt their predictions in different situations. In the current study, we hypothesized that since the disconfirmation of strong predictions incurs costs, it would also trigger adaptation mechanisms influencing the processing of subsequent strong predictions. In two experiments, participants (...) made speeded congruency judgments on two-word phrases in which the first word was either highly constraining or not. We manipulated the proportion of disconfirmed predictions in highly constraining contexts between participants. The results provide additional evidence of the costs associated with the disconfirmation of strong predictions. Moreover, they show a reduction in these costs when participants experience a high proportion of disconfirmed strong predictions throughout the experiment, indicating that participants adjust the strength of their predictions when strong prediction is discouraged. We formulate a Bayesian adaptation model whereby prediction failure cost is weighted by the participant’s belief about the likelihood of encountering the expected word, and show that it accounts for the trial-by-trial data. (shrink)

This paper argues, against technological and economic determinism, that the dominant model of industrial society is politically contingent. The idea that technical decisions are significantly constrained by ?rationality? ? either technical or economic ? is shown to be groundless. Constructivist and hermeneutic approaches to technology show that modern societies are inherently available for a different type of development in a different cultural framework. It is possible that, in the future, those who today are subordinated to technology's rhythms and demands will (...) be able to control it and to determine its evolution. I call the process of creating such a society ?subversive rationalization? because it requires technological advances that can only be made in opposition to the dominant hegemony. (shrink)

In this book, the author shows that it is necessary to enrich the conceptual frame of the theory of rational choice beyond consequentialism. He argues that consequentialism as a general theory of rational action fails and that this does not force us into the dichotomy teleology vs deontology. The unity of practical reason can be saved without consequentialism. In the process, he presents insightful criticism of standard models of action and rational choice. This will help (...) readers discover a new perspective on the theory of rationality. The approach is radical: It transcends the reductive narrowness of instrumental rationality without denying its practical impact. Actions do exist that are outlined in accordance to utility maximizing or even self-interest maximizing. Yet, not all actions are to be understood in these terms. Actions oriented around social roles, for example, cannot count as irrational only because there is no known underlying maximizing heuristic. The concept of bounded rationality tries to embed instrumental rationality into a form of life to highlight limits of our cognitive capabilities and selective perceptions. However, the agent is still left within the realm of cost-benefit-reasoning. The idea of social preferences or meta-preferences cannot encompass the plurality of human actions. According to the author they ignore the plurality of reasons that drive agency. Hence, they coerce agency in fitting into a theory that undermines humanity. His theory of structural rationality acknowledges lifeworld patterns of interaction and meaning. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 11.1 (2004) 35-41 [Access article in PDF] The Rationality of Psychosis and Understanding the Deluded Matthew R. Broome Campbell's important and influential paper (Campbell 2001) has framed the debate that Bayne and Pacherie (2004) most explicitly, and Klee (2004) and Georgaca (2004) more implicitly, engage in. Campbell has offered two broad ways of thinking about explanations of delusions—the empirical and the rational. He offers (...) some criticism of the former and an endorsement of the latter. Campbell uses examples from clinical psychopathology to illustrate his argument and Bayne and Pacherie in turn employ these. Campbell discusses the eponymously named delusions of Capgras and Cotard—the former a subtype of delusional misidentification and the latter a delusion whose content is colored predominantly with nihilistic and possibly hypochondriacal themes. Campbell, Bayne and Pacherie, and Klee discuss the empirical data in relation to such delusions and as an aid to discussing the empirical model more generally. It does seem a little unfortunate that these delusions, which are less than typical, become the focus of Campbell's paper, and Bayne and Pacherie's criticism of his work. Delusions are remarkably heterogeneous; this indeed may be part of the reason why there is so much difficulty in reaching a definition as Klee discusses, and occur in a wide variety of mental and neurological illnesses. The most common delusions are those of persecution and reference (World Health Organization [WHO] 1973) and typically occur in schizophrenia. By contrast, delusional misidentification occurs most commonly in patients with dementia, delirium, and focal cognitive impairment, but can occur in other functional psychoses such as an affective or schizophrenic psychosis. The most common form of delusional misidentification is not that of either the exotic Capgras or Fregoli syndromes but delusional misidentification for place; thus, although Bayne and Pacherie's arguments against Campbell may still hold, delusional misidentification tends to occur in the context of a patient believing that they are at home or on holiday rather than in hospital and may not necessarily involve close family members or other intimate relationships. Similarly, Cotard's syndrome tends to occur in the context of a severe depressive illness with mood-congruent psychotic symptoms, typically in an elderly individual. It does not have to have the content that the deluded is dead, but can include beliefs, for example, that the world no longer exists or that their internal organs are not present. Thus, a patient with either Capgras' or Cotard's syndrome is likely to differ from patients with delusions of persecution. They would [End Page 35] have different diagnoses, probably be older, and have a greater likelihood of structural abnormalities of the brain on imaging and consequent neuropsychological dysfunction. That is not to say that patients with schizophrenia have normal cerebral anatomy and neuropsychology, but rather that the Capgras' and Cotard's patients are likely to have neurological quality to their presentation that is clinically relevant, rather than what commonly the case in schizophrenia and the other functional psychoses, where the neurological abnormalities are only currently important at the level of academic research. Empirical Models of Delusion Formation Different delusions may not have that much in common, nor may the patients who believe in them. This in turn relates to the empirical paradigm that both Campbell and Bayne and Pacherie discuss. It is true that current research, and indeed the clinical practice of cognitive behavioral therapy for psychosis, is indebted to the work of Maher and it is within his legacy which we work. This, however, is not to say that we think his initial formulation was correct. Maher's (1988, 1992) work focused attempts in explaining delusions—both to support and refute his thesis that delusions are the consequence of normal cognitive mechanisms seeking to explain an anomalous sensory experience. Such a view initially led to work demonstrating delusions in the absence of anomalous perceptions, the presence of reasoning biases in the deluded population, and the possibility that abnormal sensory experience may be consequent upon biased cognitive processes (Garety and Freeman 1999). More recent work has demonstrated the prevalence of... (shrink)