The past decade has seen a renewed interest in moral psychology. A unique feature of the present endeavor is its unprecedented interdisciplinarity. For the first time, cognitive, social, and developmental psychologists, neuroscientists, experimental philosophers, evolutionary biologists, and anthropologists collaborate to study the same or overlapping phenomena. This review focuses on moral judgments and is written from the perspective of cognitive psychologists interested in theories of the cognitive and affective processes underlying judgments in moral domains. The review will first present and (...) discuss a variety of different theoretical and empirical approaches, including both behavioral and neuroscientific studies. We will then show how these theories can be applied to a selected number of specific research topics that have attracted particular interest in recent years, including the distinction between moral and conventional rules, moral dilemmas, the role of intention, and sacred/protected values. One overarching question we will address throughout the chapter is whether moral cognitions are distinct and special, or whether they can be subsumed under more domain-general mechanisms. (shrink)

In everyday life, people typically observe fragments of causal networks. From this knowledge, people infer how novel combinations of causes they may never have observed together might behave. I report on 4 experiments that address the question of how people intuitively integrate multiple causes to predict a continuously varying effect. Most theories of causal induction in psychology and statistics assume a bias toward linearity and additivity. In contrast, these experiments show that people are sensitive to cues biasing various integration rules. (...) Causes that refer to intensive quantities (e.g., taste) or to preferences (e.g., liking) bias people toward averaging the causal influences, whereas extensive quantities (e.g., strength of a drug) lead to a tendency to add. However, the knowledge underlying these processes is fallible and unstable. Therefore, people are easily influenced by additional task‐related context factors. These additional factors include the way data are presented, the difficulty of the inference task, and transfer from previous tasks. The results of the experiments provide evidence for causal model and related theories, which postulate that domain‐general representations of causal knowledge are influenced by abstract domain knowledge, data‐driven task factors, and processing difficulty. (shrink)

I defend the claim that in psychological theories concerned with theoretical or practical rationality there is a constitutive relation between normative and descriptive theories: Normative theories provide idealized descriptive accounts of rational agents. However, we need to resist the temptation to collapse descriptive theories with any specific normative theory. I show how a partial separation is possible.

The authors challenge the reigning “causal power framework” as an explanation for whether a particular outcome was actually caused by a specific potential cause. They test a new measure of causal attribution in two experiments by embedding the measure within the Structure Induction model of Singular Causation (SISC, Stephan & Waldmann, 2016).

ABSTRACTModern technological means allow for meaningful interaction across arbitrary distances, while human morality evolved in environments in which individuals needed to be spatially close in order to interact. We investigate how people integrate knowledge about modern technology with their ancestral moral dispositions to help relieve nearby suffering. Our first study establishes that spatial proximity between an agent's means of helping and the victims increases people's judgement of helping obligations, even if the agent is constantly far personally. We then report and (...) meta-analyse 20 experiments elucidating the cognitive mechanisms behind this effect, which include inferences of increased efficaciousness and personal involvement. Implications of our findings for the scientific understanding of ancestral moral dispositions in modern environments are discussed, as well as suggestions for how these insights might be exploited to increase charitable giving. Our meta-analysis provides a practical example.. (shrink)

Currently, two frameworks of causal reasoning compete: Whereas dependency theories focus on dependencies between causes and effects, dispositional theories model causation as an interaction between agents and patients endowed with intrinsic dispositions. One important finding providing a bridge between these two frameworks is that failures of causes to generate their effects tend to be differentially attributed to agents and patients regardless of their location on either the cause or the effect side. To model different types of error attribution, we augmented (...) a causal Bayes net model with separate error sources for causes and effects. In several experiments, we tested this new model using the size of Markov violations as the empirical indicator of differential assumptions about the sources of error. As predicted by the model, the size of Markov violations was influenced by the location of the agents and was moderated by the causal structure and the type of causal variables. (shrink)

Research on human causal induction has shown that people have general prior assumptions about causal strength and about how causes interact with the background. We propose that these prior assumptions about the parameters of causal systems do not only manifest themselves in estimations of causal strength or the selection of causes but also when deciding between alternative causal structures. In three experiments, we requested subjects to choose which of two observable variables was the cause and which the effect. We found (...) strong evidence that learners have interindividually variable but intraindividually stable priors about causal parameters that express a preference for causal determinism. These priors predict which structure subjects preferentially select. The priors can be manipulated experimentally and appear to be domain-general. Heuristic strategies of structure induction are suggested that can be viewed as simplified implementations of the priors. (shrink)

Recent studies indicate that indicative conditionals like "If people wear masks, the spread of Covid-19 will be diminished" require a probabilistic dependency between their antecedents and consequents to be acceptable (Skovgaard-Olsen et al., 2016). But it is easy to make the slip from this claim to the thesis that indicative conditionals are acceptable only if this probabilistic dependency results from a causal relation between antecedent and consequent. According to Pearl (2009), understanding a causal relation involves multiple, hierarchically organized conceptual dimensions: (...) prediction, intervention, and counterfactual dependence. In a series of experiments, we test the hypothesis that these conceptual dimensions are differentially encoded in indicative and counterfactual conditionals. If this hypothesis holds, then there are limits as to how much of a causal relation is captured by indicative conditionals alone. Our results show that the acceptance of indicative and counterfactual conditionals can become dissociated. Furthermore, it is found that the acceptance of both is needed for accepting a causal relation between two co-occurring events. The implications that these findings have for the hypothesis above, and for recent debates at the intersection of the psychology of reasoning and causal judgment, are critically discussed. Our findings are consistent with viewing indicative conditionals as answering predictive queries requiring evidential relevance (even in the absence of direct causal relations). Counterfactual conditionals in contrast target causal relevance, specifically. Finally, we discuss the implications our results have for the yet unsolved question of how reasoners succeed in constructing causal models from verbal descriptions. (shrink)

Causal queries about singular cases, which inquire whether specific events were causally connected, are prevalent in daily life and important in professional disciplines such as the law, medicine, or engineering. Because causal links cannot be directly observed, singular causation judgments require an assessment of whether a co‐occurrence of two events c and e was causal or simply coincidental. How can this decision be made? Building on previous work by Cheng and Novick (2005) and Stephan and Waldmann (2018), we propose (...) a computational model that combines information about the causal strengths of the potential causes with information about their temporal relations to derive answers to singular causation queries. The relative causal strengths of the potential cause factors are relevant because weak causes are more likely to fail to generate effects than strong causes. But even a strong cause factor does not necessarily need to be causal in a singular case because it could have been preempted by an alternative cause. We here show how information about causal strength and about two different temporal parameters, the potential causes' onset times and their causal latencies, can be formalized and integrated into a computational account of singular causation. Four experiments are presented in which we tested the validity of the model. The results showed that people integrate the different types of information as predicted by the new model. (shrink)

The goal of the present set of studies is to explore the boundary conditions of category transfer in causal learning. Previous research has shown that people are capable of inducing categories based on causal learning input, and they often transfer these categories to new causal learning tasks. However, occasionally learners abandon the learned categories and induce new ones. Whereas previously it has been argued that transfer is only observed with essentialist categories in which the hidden properties are causally relevant for (...) the target effect in the transfer relation, we here propose an alternative explanation, the unbroken mechanism hypothesis. This hypothesis claims that categories are transferred from a previously learned causal relation to a new causal relation when learners assume a causal mechanism linking the two relations that is continuous and unbroken. The findings of two causal learning experiments support the unbroken mechanism hypothesis. (shrink)

This chapter outlines something of Mario Bunge’s long life and career as a physicist-philosopher originally living and working in Argentina for 40 years, then in Canada for nearly 60 years. It indicates the extraordinary breadth, depth and quantity of his research publications. It deals briefly with some key components of his work, such as: systemism, causation, theory analysis, axiomatization, ontology, epistemology, physics, psychology and philosophy of mind, social science, probability and Bayesianism, defence of the Enlightenment project, and education. Finally, the (...) chapter gives an account of the structure of the festschrift, and an indication of each of the 41 contributions. (shrink)

This chapter begins by noting the importance of debates in science education that hinge upon support for or rejection of the Enlightenment project. It then distinguishes the historic eighteenth-century Enlightenment from its articulation and working out in the Enlightenment project; details Mario Bunge’s and others’ summation of the core principles of the Enlightenment; and fleshes out the educational project of the Enlightenment by reference to the works of John Locke, Joseph Priestley, Ernst Mach, Philipp Frank and Herbert Feigl. It indicates (...) commonalities between the Enlightenment education project and that of the liberal education movement, and for both projects it points to the need to appreciate history and philosophy of science. (shrink)

Often neglected as an influence on phenomenology, Bergson's thought has resurfaced and brought challenges to phenomenology. In a series of original essays and translations, leading scholars of contemporary continental philosophy seek to redress this oversight and inaugurate a long over due dialogue and yet pertinent to the future of continental philosophy. This thematically focused collection reintroduces Bergson to the dominant discourse in continental philosophy (phenomenology), reevaluates phenomenologists' readings of Bergson (e.g., Heidegger, Sartre, Merleau-Ponty, Levinas, and Henry), and examines Bergsonian challenges (...) to phenomenological methods and issues. What emerges is not only a revitalized Bergson read on his own terms, but also a view of the vibrance of Bergson's thought and its central contributions to perennial issues in phenomenology and contemporary continental philosophy: including dualism, intentionality, subjectivity and selfhood, science, time, ethics, freedom, life and affectivity. -- Product Description. (shrink)

Consideration of the counting and reidentification of particulars leads naturally enough to the orthodox doctrine that, “on pain of indefiniteness,” an identity statement in some way involves or presupposes a general term or “covering concept”: i.e., that the principium individuationis or criterion of identity implied depends upon the kind of thing in question. Thus it is said that an auditor understands the question whether A is the same as B only in so far as he knows, however informally or implicitly, (...) the answer to the supplementary question, “The same what?”. (shrink)

One aim philosophers have in constructing moral theories is to identify the natural or non-Moral characteristics that make actions right or obligatory, Things good, Or persons virtuous. Yet we have no clear understanding of what it is for certain of a thing's non-Moral properties to be responsible for its moral properties. Given the recent interest in the concept of supervenience one might think that the dependence of moral on natural properties could be explained in terms of it. Unfortunately, None of (...) the definitions of supervenience offered so far is adequate to this task, And indeed, There is some reason to think that this dependence relation is ultimately mysterious. (shrink)

This paper critically examines the claim that parallel distributed processing (PDP) networks are autonomous learning systems. A PDP model of a simple distributed associative memory is considered. It is shown that the 'generic' PDP architecture cannot implement the computations required by this memory system without the aid of external control. In other words, the model is not autonomous. Two specific problems are highlighted: (i) simultaneous learning and recall are not permitted to occur as would be required of an autonomous system; (...) (ii) connections between processing units cannot simultaneously represent current and previous network activation as would be required if learning is to occur. Similar problems exist for more sophisticated networks constructed from the generic PDP architecture. We argue that this is because these models are not adequately constrained by the properties of the functional architecture assumed by PDP modelers. It is also argued that without such constraints, PDP researchers cannot claim to have developed an architecture radically different from that proposed by the Classical approach in cognitive science. (shrink)

There is widespread belief that connectionist networks are dramatically different from classical or symbolic models. However, connectionists rarely test this belief by interpreting the internal structure of their nets. A new approach to interpreting networks was recently introduced by Berkeley et al. (1995). The current paper examines two implications of applying this method: (1) that the internal structure of a connectionist network can have a very classical appearance, and (2) that this interpretation can provide a cognitive theory that cannot be (...) dismissed as a mere implementation. (shrink)

We all have moral beliefs. But what if one beleif conflicts with another? DePaul argues that we have to make our beliefs cohere, but that the current coherence methods are seriously flawed. It is not just the arguments that need to be considered in moral enquiry. DePaul asserts that the ability to make sensitive moral judgements is vital to any philosophical inquiry into morality. The inquirer must consider how her life experiences and experiences with literature, film and theatre have influenced (...) her capacity for making moral judgments and attempt to ensure that this capacity is neither naive nor corrupted. (shrink)

History, Philosophy and Science Teaching argues that science teaching and science teacher education can be improved if teachers know something of the history and philosophy of science and if these topics are included in the science curriculum. The history and philosophy of science have important roles in many of the theoretical issues that science educators need to address: the goals of science education; what constitutes an appropriate science curriculum for all students; how science should be taught in traditional cultures; what (...) integrated science is; how scientific literacy can be promoted; and the conflict which can occur between science curriculum and deep-seated religious or cultural values and knowledge. In part, answers to these questions hinge on views about the nature of science, views that are best informed by historical and philosophical study. Outlining the history of liberal, or contextual, approaches to the teaching of science, Michael Matthews elaborates contemporary curriculum developments that explicitly address questions about the nature and the history of science. He provides examples of classroom teaching and develops useful arguments on constructivism, multicultural science education and teacher education. The book will appeal to school and university science teachers, educators of science teachers, and historians and philosophers of science. (shrink)

Certain versions of liberalism exclude from public political discussions the reasons some citizens regard as most fundamental, reasons having to do with their deepest religious, philosophical, moral or political views. This liberal exclusion of deep and deeply held reasons from political discussions has been controversial. In this article I will point out a way in which the discussion seems to presuppose a foundationalist conception of human reasoning. This is rather surprising, inasmuch as one of the foremost advocates of liberalism, John (...) Rawls, is also known for being one of the first advocates of reflective equilibrium, which is clearly a coherentist approach to theory construction and justification. I will begin in Park I by making my charge against an almost embarrassingly crude presentation of the liberal position. Then in Part II I will leap to Rawls' version of liberalism, obviously by far the most sophisticated working out of the position, and try to see whether anything remains of my criticism. (shrink)