Modularity theorists have challenged that there are, or could be, general learning mechanisms that explain theory-of-mind development. In response, supporters of the ‘scientific theory-theory’ account of theory-of-mind development have appealed to children's use of auxiliary hypotheses and probabilistic causal modeling. This article argues that these general learning mechanisms are not sufficient to meet the modularist's challenge. The article then explores an alternative domain-general learning mechanism by proposing that children grasp the concept belief through the progressive alignment of relational structure that (...) occurs as a result of structural-comparison. The article also explores the implications of the proposed account for Fodor's puzzle of conceptual learning. (shrink)

The ability to learn the direction of causal relations is critical for understanding and acting in the world. We investigated how children learn causal directionality in situations in which the states of variables are temporally dependent (i.e., autocorrelated). In Experiment 1, children learned about causal direction by comparing the states of one variable before versus after an intervention on another variable. In Experiment 2, children reliably inferred causal directionality merely from observing how two variables change over time; they interpreted Y (...) changing without a change in X as evidence that Y does not influence X. Both of these strategies make sense if one believes the variables to be temporally dependent. We discuss the implications of these results for interpreting previous findings. More broadly, given that many real-world environments are characterized by temporal dependency, these results suggest strategies that children may use to learn the causal structure of their environments. (shrink)

Przedmowa Problematyka związana z zależnościami przyczynowymi, ich modelowaniem i odkrywa¬niem, po długiej nieobecności w filozofii i metodologii nauk, budzi współcześnie duże zainteresowanie. Wiąże się to przede wszystkim z dynamicznym rozwojem, zwłaszcza od lat 1990., technik obli¬czeniowych. Wypracowane w tym czasie sieci bayesowskie uznaje się za matematyczny język przyczynowości. Pozwalają one na daleko idącą auto¬matyzację wnioskowań, co jest także zachętą do podjęcia prób algorytmiza¬cji odkrywania przyczyn. Na potrzeby badań naukowych, które pozwalają na przeprowadzenie eksperymentu z randomizacją, standardowe metody ustalania zależności przyczynowych (...) opracowano na początku XX wieku. Zupełnie inaczej sprawa przedstawia się w przypadku badań nieeksperymentalnych, gdzie podobne rozwiązania pozostają kwestią przyszłości. Zadaniem tej książki jest podanie warunków, które powinny być spełnione przez te rozwiązania, oraz sformułowanie proceduralnego kryterium zależności przy¬czynowych jako szczegółowej realizacji tych warunków. Pociąga ono waż¬kie konsekwencje dla filozofii i metodologii nauk, które ujawnia – podany w Części II – zarys me-todolo¬gii proceduralnej. W literaturze przedmiotu brakuje w miarę wszechstronnego i systema¬tycznego omówie¬nia najnowszych filozoficznych i metodologicznych dys¬kusji na temat przy¬czynowości, co niech będzie wytłumaczeniem, dlaczego w niektórych punktach obecnej książki szczegółowo referuję trudno dos¬tępne teksty źró¬dłowe. Przymiotnik „proceduralny” używam tu w znaczeniu węższym niż Huw Price (w którego pracach właściwszy byłby termin „kryterialny”) dla podkre¬ślenia – zgodnie z łacińskim źródłosłowem procedo – że dla ustalenia przy¬czyny niezbędne jest podjęcie przez uczonych określonych interakcji z ba¬daną rzeczywistością. Zalążki zamysłu prezentowanego w tej książce przedstawiłem podczas warsztatów filozoficznych „Philosophy and Probability” w roku 2002, zor¬ganizowanych przez Instytut Filozofii Uniwersytetu w Konstancji. Wdzięczny jestem uczestnikom tych warsztatów za uwagi, a przede wszyst¬kim następującym osobom: Luc Bovens, Brandon Fitelson, Alan Hájek, Stephan Hartmann oraz Jon Williamson. Podczas międzynarodowej konferencji „Analytical Pragmatism”, zorgani¬zowanej w Lublinie w roku 2003 przez Wydział Filo¬zofii Katolickiego Uniwersytetu Lubelskiego, odniosłem swoją koncepcję do prac Nancy Cartwright. Szczególnie inspirujący okazał się komentarz Huw Price’a do mojego referatu i przeprowadzona z nim dysku¬sja. Ujęcie koncepcji metodologii proceduralnej na szerszym tle współ-czes¬nego nurtu empirystycznego w filozofii nauki przedstawiłem w roku 2004 podczas konferencji „5th Quadrennial Fellows Conference”, zorgani¬zowanej przez Instytut Filozofii Uniwersytetu Jagiellońskiego oraz Centrum Filozofii Nauki w Pittsburghu. Szczególnie pomocne w dalszych moich pra¬cach były uwagi Jamesa Bogena, Janet Kourany, Jamesa Lennoxa, Johna Nortona, Thomasa Bonka, Jana Woleńskiego i Johna Worralla, za które wyra¬żam swoją wdzięczność. Korpus książki powstał podczas mojego stażu w Centrum Filozofii Nauki w Pittsburghu, który odbyłem jako stypendysta Fundacji na Rzecz Nauki Polskiej w roku akademickim 2004-2005. Uczestniczyłem w tym czasie w życiu naukowym Centrum i w pracach badawczych zespołu z Instytutu Filozofii Uniwersytetu Carnegie-Mellon w Pittsburghu kierowanego przez Clarka Glymoura. Na jego ręce składam podziękowanie za wiele po¬mocnych uwag do moich wy¬stąpień oraz tekstów i za dyskusje przede wszystkim z nim samym i z jego najbliższymi współpracownikami: Peterem Spirtesem oraz Richardem Scheinesem, a także pozostałymi członkami tego zes¬połu, doktorantami i uczestnikami seminarium badawczego „Causality in the Social Sciences”. Za wieloletnie wsparcie, wielopłaszczyznowe inspiracje towarzyszące pi¬saniu tej książki, a także liczne pomocne uwagi do jej wcześniejszych wersji dziękuję przede wszystkim Księdzu Profesorowi Andrzejowi Bronkowi oraz Księdzu Profesorowi Józefowi Herbutowi, współprowadzącemu seminarium doktorskie w Katedrze Metodologii Nauk Katolickiego Uniwersytetu Lubel¬skiego im. Jana Pawła II, jak również pozostałym uczestnikom tego semina¬rium. Dziękuję mojej Żonie, dr Annie Kawalec za wiele wysiłku włożonego w ulepszenie redakcji – językowej i merytorycznej – obecnej książki. Książkę tę można czytać na kilka sposobów. Czytelnikom zainteresowa¬nym przede wszystkim prowadzeniem badań empirycznych polecałbym rozpoczęcie od Rozdziału 2. i kontynuację pozostałych rozdziałów Części I, a następnie Dodatków. Czytelnikom zainteresowanym problemami filozo¬fii i metodologii nauk polecałbym rozpoczęcie lektury książki od Części II i uzupełniającą lekturę Rozdziału 2., a następnie Wprowadzenia i Zakończenia. Czytelnikom mniej zainteresowanym zagadnieniami teoretycznymi pole¬całbym zapoznanie się z fascynującymi dziejami odkrycia przyczyn cholery przez Johna Snowa, które rekonstruuję w Rozdziale 1. W dalszej części nato¬miast polecałbym przejście do Wprowadzenia i Zakończenia, które w mniej specjalistyczny sposób przybliżają proponowane tu rozstrzygnięcia. Tekst książki nie był dotąd publikowany. Wyjątkiem są pewne fragmenty Rozdziału 8. oraz 9., które w zmienionej postaci ukazały się w Rocznikach Filozoficznych (Kawalec 2004). -/- Lublin, luty 2006 r. (shrink)

The authors examined cue competition effects in young children using the blicket detector paradigm, in which objects are placed either singly or in pairs on a novel machine and children must judge which objects have the causal power to make the machine work. Cue competition effects were found in a 5- to 6-year-old group but not in a 4-year-old group. Equivalent levels of forward and backward blocking were found in the former group. Children's counterfactual judgments were subsequently examined by asking (...) whether or not the machine would have gone off in the absence of I of 2 objects that had been placed on it as a pair. Cue competition effects were demonstrated only in 5- to 6-year-olds using this mode of assessing causal reasoning. (shrink)

Analogical cognition refers to the ability to detect, process, and learn from relational similarities. The study of analogical and similarity cognition is widely considered one of the ‘success stories’ of cognitive science, exhibiting convergence across many disciplines on foundational questions. Given the centrality of analogy to mind and knowledge, it would benefit philosophers investigating topics in epistemology and the philosophies of mind and language to become familiar with empirical models of analogical cognition. The goal of this essay is to describe (...) recent empirical work on analogical cognition as well as model applications to philosophical topics. Topics to be discussed include the epistemological distinction between implicit knowledge and explicit knowledge, the debate between empiricists and nativists, the frame problem, expertise, creativity and autism, cognitive architecture, and relational knowledge. Particular attention is given to Dedre Gentner and colleague’s structure-mapping theory – the most developed and widely accepted model of analogical cognition. (shrink)

n this paper, I examine the charge that Gopnik and Meltzoff’s ‘Child as Scientist’ program, outlined and defended in their 1997 book Words, Thoughts and Theories is vitiated by a form of ‘cognitive individualism’ about science. Although this charge has often been leveled at Gopnik and Meltzoff’s work, it has rarely been developed in any detail. -/- I suggest that we should distinguish between two forms of cognitive individualism which I refer to as ‘ontic’ and ‘epistemic’ cognitive individualism (OCI and (...) ECI respectively). I then argue - contra Ronald Giere – that Gopnik and Meltzoff’s commitment to OCI is relatively unproblematic, since it is an easily detachable part of their view. By contrast, and despite their explicit discussion of the issue, their commitment to ECI is much more problematic. (shrink)

The theory of mind debate has reached a “hybrid consensus” concerning the status of theory-theory and simulation-theory. Extant hybrid models either specify co-dependency and implementation relations, or distribute mentalizing tasks according to folk-psychological categories. By relying on a non-developmental framework these models fail to capture the central connection between simulation and theory. I propose a “dynamic” hybrid that is informed by recent work on the nature of similarity cognition. I claim that Gentner’s model of structure-mapping allows us to understand simulation (...) as a process in which psychological representations are aligned, causing the spontaneous abstraction of theoretical generalizations about the psychological domain. (shrink)

Because psychological studies of attention and cognition are most commonly performed within the strict confines of the laboratory or take cognitively impaired patients as subjects, it is difficult to be sure that resultant models of attention adequately account for the phenomenon of effortless attention. The problem is not only that effortless attention is resistant to laboratory study. A further issue is that because the laboratory is the most common way to approach attention, models resulting from such studies are naturally the (...) most widely propagated, these models naturally tend to be biased toward features of attention most amenable to laboratory study, and these models by their implications set the agenda for future study that leads back to the laboratory. In this self-reinforcing system, features of attention not amenable to laboratory study are naturally neglected by researchers. In this chapter, I suggest an alternative model of attention as a heuristic for opening paths to further profitable research. The features of attention emphasized in this model are not new, but the synthesis is novel and sheds some light on issues relevant to the topic of effortless attention. I begin with the five following observations: -/- 1. One naturally pays attention to a task of current interest. 2. There are (at least) two distinct modes of attention—selective and diffuse. 3. Attention is a constantly shifting avenue for the assimilation of information. 4. Information is not forced in from outside but is captured through internal sensitization. 5. Human information processing is fundamentally syntactic. -/- Combining these five observations yields an explanatory model of attention that is not only consistent with the data from the many studies on attention in recent decades but also allows us to investigate the neglected phenomenon of effortless attention. The model relies on the notions of apertures, draw, and syntax and is explicated by addressing each of the above observations in turn. In the final part of the chapter, I explore how the model expands our understanding of effortless attention. (shrink)

It has often been suggested that people’s ordinary capacities for understanding the world make use of much the same methods one might find in a formal scientific investigation. A series of recent experimental results offer a challenge to this widely-held view, suggesting that people’s moral judgments can actually influence the intuitions they hold both in folk psychology and in causal cognition. The present target article distinguishes two basic approaches to explaining such effects. One approach would be to say that the (...) relevant competencies are entirely non-moral but that some additional factor (conversational pragmatics, performance error, etc.) then interferes and allows people’s moral judgments to affect their intuitions. Another approach would be to say that moral considerations truly do figure in workings of the competencies themselves. It is argued that the data available now favor the second of these approaches over the first. (shrink)

Recent work in rational probabilistic modeling suggests that a kind of propositional reasoning is ubiquitous in cognition and especially in cognitive development. However, there is no reason to believe that this type of computation is necessarily conscious or resource-intensive.

La tesis aborda uno de los temas centrales en la filosofía de la mente y las ciencias cognitivas: los conceptos como unidades básicas de la cognición humana. La tesis central que se defiende es que el contenido de los conceptos es determinado parcialmente por las comunidades a las que pertenecen los sujetos cognitivos, en la medida en la que dichas comunidades guían y constriñen las interacciones entre el sistema cognitivo conceptual y el entorno del que forma conceptos. La novedad de (...) la tesis es doble. Por una parte, cuestiona las teorías dominantes sobre el contenido de los conceptos —las teorías descriptivistas y las teorías naturalistas—, no solamente a partir de desafíos filosóficos que muestran sus limitaciones, sino también a partir de evidencia empírica sobre el efecto de las interacciones sociales en el contenido de los conceptos y, por tanto, en la cognición. Por otra parte, proporciona evidencia empírica sobre infantes ferales (i.e. niños salvajes), cuyo sistema cognitivo conceptual no ha recibido la guía de ninguna comunidad humana en sus interacciones con el entorno. Dicha evidencia permite sugerir que una explicación puramente naturalizada del contenido, sin la presencia de las comunidades, no puede explicar el desarrollo cognitivo conceptual de dichos infantes. Así, la tesis logra proponer un papel no trivial de las comunidades en el debate sobre la determinación del contenido semántico de los conceptos. (shrink)

This study presents original evidence that abstract and concrete concepts are organized and represented differently in the mind, based on analyses of thousands of concepts in publicly available data sets and computational resources. First, we show that abstract and concrete concepts have differing patterns of association with other concepts. Second, we test recent hypotheses that abstract concepts are organized according to association, whereas concrete concepts are organized according to (semantic) similarity. Third, we present evidence suggesting that concrete representations are more (...) strongly feature-based than abstract concepts. We argue that degree of feature-based structure may fundamentally determine concreteness, and we discuss implications for cognitive and computational models of meaning. (shrink)

(2013). Is scientific theory change similar to early cognitive development? Gopnik on science and childhood. Philosophical Psychology: Vol. 26, No. 1, pp. 109-128. doi: 10.1080/09515089.2011.625114.

Interdisciplinary efforts from developmental psychology, phenomenology, and philosophy of mind, have studied the rudiments of social cognition and conceptualized distinct forms of intersubjective communication and interaction at human early life.Interaction theoristsconsiderprimary intersubjectivitya non-mentalist, pre-theoretical, non-conceptual sort of processes that ground a certain level of communication and understanding, and provide support to higher-level cognitive skills. We argue the study of human/neurorobot interaction consists in a unique opportunity to deepen understanding of underlying mechanisms in social cognition through synthetic modeling, while allowing to (...) examine a second person experiential (2PP) access to intersubjectivity in embodied dyadic interaction. Concretely, we propose the study of primary intersubjectivity as a 2PP experience characterized by predictive engagement, where perception, cognition, and action are accounted for an hermeneutic circle in dyadic interaction. From our interpretation of the concept ofactive inferenceinfree-energy principletheory, we propose an open-source methodology namedneural robotics library(NRL) for experimental human/neurorobot interaction, wherein a demonstration program namedvirtual Cartesian robot(VCBot) provides an opportunity to experience the aforementioned embodied interaction to general audiences. Lastly, through a study case, we discuss some ways human-robot primary intersubjectivity can contribute to cognitive science research, such as to the fields of developmental psychology, educational technology, and cognitive rehabilitation. (shrink)

How do human infants learn the causal dependencies between events? Evidence suggests that this remarkable feat can be achieved by observation of only a handful of examples. Many computational models have been produced to explain how infants perform causal inference without explicit teaching about statistics or the scientific method. Here, we propose a spiking neuronal network implementation that can be entrained to form a dynamical model of the temporal and causal relationships between events that it observes. The network uses spike-time (...) dependent plasticity, long-term depression, and heterosynaptic competition rules to implement Rescorla–Wagner-like learning. Transmission delays between neurons allow the network to learn a forward model of the temporal relationships between events. Within this framework, biologically realistic synaptic plasticity rules account for well-known behavioral data regarding cognitive causal assumptions such as backwards blocking and screening-off. These models can then be run as emulators for state inference. Furthermore, this mechanism is capable of copying synaptic connectivity patterns between neuronal networks by observing the spontaneous spike activity from the neuronal circuit that is to be copied, and it thereby provides a powerful method for transmission of circuit functionality between brain regions. (shrink)

Knobe's laudable conclusion that we make sense of our social world based on moral considerations requires a development account of human thought and a theoretical framework. We outline a view that such a moral framework must be rooted in social interaction.

How can an incomplete and uncertain model of the environment be used to perceive, infer, decide and act efficiently? This is the challenge that both living and artificial cognitive systems have to face. Symbolic logic is, by its nature, unable to deal with this question. The subjectivist approach to probability is an extension to logic that is designed specifically to face this challenge. In this paper, we review a number of frequently encountered cognitive issues and cast them into a common (...) Bayesian formalism. The concepts we review are ambiguities, fusion, multimodality, conflicts, modularity, hierarchies and loops. First, each of these concepts is introduced briefly using some examples from the neuroscience, psychophysics or robotics literature. Then, the concept is formalized using a template Bayesian model. The assumptions and common features of these models, as well as their major differences, are outlined and discussed. (shrink)

Much research has linked surprise to violation of expectations, but it has been less clear how one can be surprised when one has no particular expectation. This paper discusses a computational theory based on Algorithmic Information Theory, which can account for surprises in which one initially expects randomness but then notices a pattern in stimuli. The authors present evidence that a “randomness deficiency” heuristic leads to surprise in such cases.

It is argued that causal understanding originates in experiences of acting on objects. Such experiences have consistent features that can be used as clues to causal identification and judgment. These are singular clues, meaning that they can be detected in single instances. A catalog of 14 singular clues is proposed. The clues function as heuristics for generating causal judgments under uncertainty and are a pervasive source of bias in causal judgment. More sophisticated clues such as mechanism clues and repeated interventions (...) are derived from the 14. Research on the use of empirical information and conditional probabilities to identify causes has used scenarios in which several of the clues are present, and the use of empirical association information for causal judgment depends on the presence of singular clues. It is the singular clues and their origin that are basic to causal understanding, not multiple instance clues such as empirical association, contingency, and conditional probabilities. (shrink)

The Architecture of Mind is an ambitious and informative work, surveying an impressive range of empirical literature and arguing that the mind is massively modular. However, it suffers from two major theoretical flaws. First, Carruthers’ concept of a module is weak, so much so that it robs his thesis of massive modularity of any real substance. Second, his conception of how the mind’s modules evolved ignores the role of niche construction and cultural evolution to its detriment.

This dissertation contributes to the philosophy of empathy and biomedical ethics by drawing on phenomenological approaches to empathy, intersubjectivity, and affectivity in order to contest the primacy of the intersubjective aspect of empathy at the cost of its affective aspect. Both aspects need to be explained in order for empathy to be accurately understood in philosophical works, as well as practically useful for patient care in biomedical ethics. In the first chapter, I examine the current state of clinical empathy in (...) medicine including professional opinions about empathy, the dominant definition being employed, and the problems that arise from this definition. By trying to define empathy in a way that is useful to the current presuppositions in medicine, clinical empathy aligns with simulation theory, which has three problems: the discrepancy between the way empathy is defined and the way it is explained, the lack of diversity that this theory of empathy allows in our understanding of others, and the lack of affective understanding and affective engagement involved in the patient-physician interaction. These three problems are used to derive three questions that are important for any theory of empathy: (1) What is the phenomenon being explained? (2) What is the intersubjective context of empathy? (3) What is the affective dimension of empathy? The best theory of clinical empathy can be formulated by answering these three questions as they relate to phenomenological theories, which are more attuned to overcoming presuppositions. Chapters two and three each examine a different phenomenological approach to empathy from opposite extremes in their theories of intersubjectivity. Husserl and Stein begin from an isolated, transcendental subject that needs empathy to bridge the gap between itself and others, while Scheler begins from a primary intersubjectivity in which self and other are undifferentiated, making empathy a largely unnecessary skill. Despite their strongly opposed positions, and the acknowledgement that their theories of intersubjectivity necessitate their theories of empathy, I argue that both fail to understand the affective dimension of empathy. Husserl and Stein leave no room in empathy for it to be an affect, while Scheler prioritizes affects that reunite subjects, but leaves empathy itself as a non-affective skill. Chapter four explains Gallagher’s interaction theory as a more moderate approach to the relation between empathy and intersubjectivity. He draws on the insights of the other two theories, but conceives of empathy as a multi-leveled phenomenon that allows for an understanding of others. While this theory does aid in addressing the intersubjective context of empathy in a way that best solves the first two problems with clinical empathy, interaction theory still fails to fully address the affectivity of empathy, maintaining empathy as a largely cognitive ability. Gallagher does acknowledge the affective core of empathy, but he does not explain the way in which it is affective. In response to this problem, I explain Anya Daly’s application of Merleau-Ponty’s theory of reversibility to affectivity as a possible solution to the problematic gap in Gallagher’s theory. Chapter five focuses on theories of clinical empathy in order to address the neglected affective aspects of empathy, and respond to the problem of detached concern. The problems caused by detached concern are explained, as well as why the theories discussed in the middle chapters are still unable to solve them. This is done in two parts. In the first part, I explain the basis of this issue in the cognitive/feeling divide, as explained in the philosophy of emotion. Then, I give a brief overview of the phenomenology of affectivity to be used as a guide to the affectivity of empathy. In the second part, I examine three theories of clinical empathy that attempt to solve the problem of detached concern, noting their strengths and weaknesses based on their similarities to phenomenological approaches to empathy and affectivity. (shrink)

This paper distinguishes two versions of Ryle's notion of 'logical geography'. Logical geography: The network of relationships between current uses of a collection of concepts. (Probably what Ryle meant by the term.) Logical topography Features of the portion of reality, or types of portions of reality, related to a given set of concepts, where the reality may be capable of being divided up in different ways using different networks of relationships between concepts. -/- Studying/analysing logical topography includes evaluating the alternative (...) divisions in terms of the theories or applications that are supported by the different sets of concepts, or perhaps some other uses of the concepts. -/- On re-reading Appendices III and IV of my Oxford DPhil thesis "Knowing and Understanding Relations between meaning and truth, meaning and necessary truth, meaning and synthetic necessary truth",, online here, I found to my surprise that several of the topics discussed below had been discussed in those two Appendices, and that the distinction between logical topography and logical geography was made in Appendix IV, discussing conceptual analysis, even though I did not use these words. (shrink)

A common theme in the contemporary medical model of psychiatry is that pathophysiological processes are centrally involved in the explanation, evaluation, and treatment of mental illnesses. Implied in this perspective is that clinical descriptors of these pathophysiological processes are sufficient to distinguish underlying etiologies. Psychiatric classification requires differentiation between what counts as normality (i.e.- order), and what counts as abnormality (i.e.- disorder). The distinction(s) between normality and pathology entail assumptions that are often deeply presupposed, manifesting themselves in statements about what (...) mental disorders are. (shrink)

The minimally counterintuitive (MCI) thesis in the cognitive science of religion proposes that supernatural concepts are prevalent across cultures because they possess a common structure—namely, violations of intuitive ontological assumptions that facilitate concept representation. These violations are hypothesized to give supernatural concepts a memorability advantage over both intuitive concepts and “maximally counterintuitive” (MXCI) concepts, which contain numerous ontological violations. However, the connection between MCI concepts and bizarre (BIZ) but not supernatural concepts, for which memorability advantages are predicted by the von (...) Restorff (VR) effect, has been insufficiently clarified by earlier research. Additionally, the role of inferential potential (IP) in determining MCI concepts’ memorability has remained vague and only rarely controlled for. In a pre‐registered experiment, we directly compare memorability for MCI and MXCI concepts, compared to BIZ concepts, while controlling for IP as well as degree of bizarreness. Results indicate that when IP and bizarreness are controlled for, memorability of counterintuitive and BIZ concepts—relative to intuitive control concepts—is similar across concepts with one, two, and three characteristics. Findings suggest that the MCI and VR effects may be manifestations of the same underlying mechanisms. (shrink)

Cimpian & Salomon provide evidence that psychological essentialism rests on a domain-general attention to inherent causes. We suggest that the inherence heuristic may itself be undergirded by a more foundational cognitive bias, namely, a realist assumption about environmental regularities. In contrast, when considering specific representations, people may be more likely to activate attention to non-inherent, contingent, and historical links.

Scientific inquiry possibly shares with people's ordinary understanding the same evolutionary determinants, and affect-laden intuitions that shape moral judgments also play a decisive role in decision-making, planning, and scientific reasoning. Therefore, if ordinary understanding does differ from scientific inquiry, the reason does not reside in the fact that the former (but not the latter) is endowed with moral considerations.

This paper suggests and discusses an answer to the following question: What distinguishes causal from non-causal or coincidental co-occurrences? The answer derives from Elizabeth Anscombe’s idea that causality is a highly abstract concept whose meaning derives from our understanding of specific causally productive activities, and from her rejection of the assumption that causality can be informatively understood in terms of actual or counterfactual regularities.Keywords: Elizabeth Anscombe; Causality; Explanation; Inhibition.

Bioethics has begun to see the revaluation of affects in medical practice, but not all of them, and not necessarily in the sense of affects as we know them. Empathy has been accepted as important for good medical practice, but only in a way that strips it of its affectivity and thus prevents other affects, like sympathy, from being accepted. As part of a larger project that aims at revaluing the importance of affectivity in medical practice, the purpose of this (...) paper is to develop a clinical sympathy that can serve as a trainable skill for medical professionals. While everyday sympathy may be problematic as a professional skill for physicians, this does not imply that sympathy should be entirely rejected. As a natural part of our moral psychology, sympathy is an intersubjective affect that aids in our interactions with others and our decision-making abilities. I present here a theory of clinical sympathy as an affective response to patients, in which physicians are both attuned to their affective response and understand how their affects are influencing their beliefs and judgments. In this way, clinical sympathy serves as a trainable skill that can aid physicians in their interactions with their patients. (shrink)

Between the elitist “philosophy is for grown-ups” and the demagogic “everyone can be a philosopher”, where does Philosophy for Children (P4C) belong in preschools? What is it assumed, expected, or intended to achieve? How is it implemented? This article reviews the literature evaluating the impact of P4C practices on preschool children (aged 3–6). It identifies the main actual or purported obstacles signaled by educators to argue that philosophy cannot be practiced before age 6. It then appraises, from a cognitive developmental (...) psychology perspective, the reality of these supposed obstacles, considering the underlying developmental skills that very young children may lack compared with older ones. Finally, pedagogical adjustments to P4C school practices are suggested, illustrated, and discussed to adapt this program, initially designed and documented for elementary-school children, to the potential of preschoolers. (shrink)

Learning to accept and understand our identity as inhabitants of planet Earth is an essential aspect of living sustainably in a global community with others. What is involved in learning, that despite what divides us, we are first and foremost Earthlings and that the well-being of our planetary home is in our collective hands? What are the cognitive features of concepts that are inherent to thinking like an Earthling? This article considers themes that arise from research that inform what is (...) involved in developing a collective, planetary perspective as it relates to engaging in environmental sustainability. It samples research on how young people understand and reason about agency—their own and that of others—and about the relationship between individual and collective action. It considers the importance of recognizing and engaging with diverse perspectives on agency and collectivity as well as being able to adopt the perspectives of those in different roles and positions. While many of the concepts that are inherent to thinking as part of a collective community of Earthlings are challenging, many are also learnable and represent important instructional targets for helping the next generation to understand how to live together in sustainable ways on a small and finite planet. (shrink)