. This paper explores the relationship between gift giving, guanxi and corruption through a study of the relationships between UK manufacturing companies in China and their local component suppliers. The analysis is based on interviews in the China-based operations of 49 UK companies. Interviews were carried out both with senior (often expatriate) staff and with local line managers who were responsible for everyday purchasing decisions and for managing relationships with suppliers. The results suggest that gift giving is perceived to be (...) a significant problem in UK-owned companies in China. However the relationship between these payments and established understanding of gift giving within guanxi-networks appears to be weak. Gift giving appears to be associated with illicit payments, corruption and the pursuit of self-interest. Firms seek to reduce the incidence of illicit transactions by changing staff roles, instituting joint responsibilities, which include the separation of different aspects of sourcing/purchasing, ineasing the involvement of senior staff in the process and through the education of employee and suppliers. (shrink)

Noam Chomsky and Frances Egan argue that David Marr’s computational theory of vision is not intentional, claiming that the formal scientific theory does not include description of visual content. They also argue that the theory is internalist in the sense of not describing things physically external to the perceiver. They argue that these claims hold for computational theories of vision in general. Beyond theories of vision, they argue that representational content does not figure as a topic within formal computational theories (...) in cognitive science. I demonstrate that Chomsky’s and Egan’s claims about Marr’s theory are false. Marr’s computational theory contains a mathematical theory of visual content, based on empirical psychophysical evidence. It also contains mathematical descriptions of distal physical surfaces and objects, and of their optic projection to the perceiver. Much computational research on vision contains these types of intentional and externalist components within the formal, mathematical, theories. Chomsky’s and Egan’s claims demonstrate inadequate study and understanding of Marr’s work and other research in this area. Computational theories of vision, by containing empirically based mathematical theories of visual content, to this extent present naturalizations of semantics. (shrink)

We argue that current discussions of criteria for actual causation are ill-posed in several respects. (1) The methodology of current discussions is by induction from intuitions about an infinitesimal fraction of the possible examples and counterexamples; (2) cases with larger numbers of causes generate novel puzzles; (3) “neuron” and causal Bayes net diagrams are, as deployed in discussions of actual causation, almost always ambiguous; (4) actual causation is (intuitively) relative to an initial system state since state changes are relevant, but (...) most current accounts ignore state changes through time; (5) more generally, there is no reason to think that philosophical judgements about these sorts of cases are normative; but (6) there is a dearth of relevant psychological research that bears on whether various philosophical accounts are descriptive. Our skepticism is not directed towards the possibility of a correct account of actual causation; rather, we argue that standard methods will not lead to such an account. A different approach is required. Once upon a time a hungry wanderer came into a village. He filled an iron cauldron with water, built a fire under it, and dropped a stone into the water. “I do like a tasty stone soup” he announced. Soon a villager added a cabbage to the pot, another added some salt and others added potatoes, onions, carrots, mushrooms, and so on, until there was a meal for all. (shrink)

The literature on causal discovery has focused on interventions that involve randomly assigning values to a single variable. But such a randomized intervention is not the only possibility, nor is it always optimal. In some cases it is impossible or it would be unethical to perform such an intervention. We provide an account of ‘hard' and ‘soft' interventions and discuss what they can contribute to causal discovery. We also describe how the choice of the optimal intervention(s) depends heavily on the (...) particular experimental setup and the assumptions that can be made. ‡The first author is funded by the Causal Learning Collaborative Initiative supported by the James S. McDonnell Foundation. Many aspects of this paper were inspired by discussions with members of the collaborative. †To contact the authors, please write to: Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213; e-mail: [email protected] and [email protected]. (shrink)

Imagining the Course of Life offers a rich portrait of rural life in contemporary Southeast Asia and an accessible introduction to the complexities of Theravada Buddhism as it is actually lived and experienced. It is both an ethnography of indigenous views of human development and a theoretical consideration of how any ethnopsychology is embedded in society and culture. Drawing on long-term fieldwork in a Shan village in northern Thailand, Nancy Eberhardt illustrates how indigenous theories of the life course are (...) connected to local constructions of self and personhood. In the process, she draws our attention to contrasting models in the Euro-American tradition and invites us to reconsider how we think about the trajectory of a human life. Moving beyond the entrenched categories that can hamper our understanding of other views, Imagining the Course of Life demonstrates the real-life connections between the "religious" and the "psychological." Eberhardt shows how such beliefs and practices are used, sometimes strategically, in people's constructions of themselves, in their interpretations of others' behavior, and in their attempts at social positioning. Individual chapters explore Shan ideas about the overall course of human development, from infancy to old age and beyond, and show how these ideas inform people's understanding of personhood and maturity, gender and social inequality, illness and well-being, emotions and mental health. (shrink)

An interventionist account of causation characterizes causal relations in terms of changes resulting from particular interventions. I provide a new example of a causal relation for which there does not exist an intervention satisfying the common interventionist standard. I consider adaptations that would save this standard and describe their implications for an interventionist account of causation. No adaptation preserves all the aspects that make the interventionist account appealing. Part of the fallout is a clearer account of the difficulties in characterizing (...) so-called “soft” interventions. (shrink)

A symposium on Michael Strevens' book "Tychomancy", concerning the psychological roots and historical significance of physical intuition about probability in physics, biology, and elsewhere.

This article is an attempt to provide an example that illustrates Hans Reichenbach’s concept of coordination. Throughout Reichenbach’s career the concept of coordination played an important role in his understanding of the connection between reality and how it is scientifically described. Reichenbach never fully specified what coordination is and how exactly it works. Instead, we are left with a variety of hints and gestures, many not entirely consistent with each other and several that are subject to change over the course (...) of his career. Using the example of how to discover and construct causal variables, I will show that most of the features of coordination that Reichenbach described can be instantiated together and formulated precisely. (shrink)

Imagining the Course of Life offers a rich portrait of rural life in contemporary Southeast Asia and an accessible introduction to the complexities of Theravada Buddhism as it is actually lived and experienced. It is both an ethnography of indigenous views of human development and a theoretical consideration of how any ethnopsychology is embedded in society and culture. Drawing on long-term fieldwork in a Shan village in northern Thailand, Nancy Eberhardt illustrates how indigenous theories of the life course are (...) connected to local constructions of self and personhood. In the process, she draws our attention to contrasting models in the Euro-American tradition and invites us to reconsider how we think about the trajectory of a human life. Moving beyond the entrenched categories that can hamper our understanding of other views, Imagining the Course of Life demonstrates the real-life connections between the "religious" and the "psychological." Eberhardt shows how such beliefs and practices are used, sometimes strategically, in people's constructions of themselves, in their interpretations of others' behavior, and in their attempts at social positioning. Individual chapters explore Shan ideas about the overall course of human development, from infancy to old age and beyond, and show how these ideas inform people's understanding of personhood and maturity, gender and social inequality, illness and well-being, emotions and mental health. (shrink)

Hans Reichenbach is well known for his limiting frequency view of probability, with his most thorough account given in The Theory of Probability in 1935/1949. Perhaps less known are Reichenbach's early views on probability and its epistemology. In his doctoral thesis from 1915, Reichenbach espouses a Kantian view of probability, where the convergence limit of an empirical frequency distribution is guaranteed to exist thanks to the synthetic a priori principle of lawful distribution. Reichenbach claims to have given a purely objective (...) account of probability, while integrating the concept into a more general philosophical and epistemological framework. A brief synopsis of Reichenbach's thesis and a critical analysis of the problematic steps of his argument will show that the roots of many of his most influential insights on probability and causality can be found in this early work. (shrink)

This empirical paper examines individual-level cognitive factors associated with developing an orientation to sustainable development issues among a population of business practitioners from France. Across two studies, we survey 180 financial managers and 83 finance students, as well as 144 managers from other business disciplines and 117 non-finance business students. We consider ability and motivation variables integrated and adapted into a cognitive elaboration model for sustainable decision making. Specifically, we examine the degree of influence of two factors on the ethical (...) sensitivity to sustainability: the moral maturity of the individual, and the perceived moral intensity of a sustainability issue. Our investigation offers insights into how financial managers perceive the importance of sustainability for corporate strategy. (shrink)

The causal Bayes net framework specifies a set of axioms for causal discovery. This article explores the set of causal variables that function as relata in these axioms. Spirtes showed how a causal system can be equivalently described by two different sets of variables that stand in a non-trivial translation-relation to each other, suggesting that there is no “correct” set of causal variables. I extend Spirtes’ result to the general framework of linear structural equation models and then explore to what (...) extent the possibility to intervene or a preference for simpler causal systems may help in selecting among sets of causal variables. (shrink)

This survey presents some of the main principles involved in discovering causal relations. They belong to a large array of possible assumptions and conditions about causal relations, whose various combinations limit the possibilities of acquiring causal knowledge in different ways. How much and in what detail the causal structure can be discovered from what kinds of data depends on the particular set of assumptions one is able to make. The assumptions considered here provide a starting point to explore further the (...) foundations of causal discovery procedures, and how they can be improved. (shrink)

We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relations are linear, but is otherwise completely general: It provides consistent estimates when the true causal structure contains feedback loops and latent variables, while the experiments can involve surgical or `soft' interventions on one or multiple variables at a time. The algorithm is `online' in the sense that it combines the results from (...) any set of available experiments, can incorporate background knowledge and resolves conflicts that arise from combining results from different experiments. In addition we provide a necessary and sufficient condition that determines when the algorithm can uniquely return the true graph, and can be used to select the next best experiment until this condition is satisfied. We demonstrate the method by applying it to simulated data and the flow cytometry data of Sachs et al. (shrink)

Although the existence of implicit motor learning is now widely accepted, the findings concerning perceptual implicit learning are ambiguous. Some researchers have observed perceptual learning whereas other authors have not. The review of the literature provides different reasons to explain this ambiguous picture, such as differences in the underlying learning processes, selective attention, or differences in the difficulty to express this knowledge. In three experiments, we investigated implicit visual learning within the original serial reaction time task. We used different response (...) devices in order to manipulate selective attention towards response dimensions. Results showed that visual and motor sequence learning differed in terms of RT-benefits, but not in terms of the amount of knowledge assessed after training. Furthermore, visual sequence learning was modulated by selective attention. However, the findings of all three experiments suggest that selective attention did not alter implicit but rather explicit learning processes. (shrink)

Using a variety of different results from the literature, I show how causal discovery with experiments is limited unless substantive assumptions about the underlying causal structure are made. These results undermine the view that experiments, such as randomized controlled trials, can independently provide a gold standard for causal discovery. Moreover, I present a concrete example in which causal underdetermination persists despite exhaustive experimentation and argue that such cases undermine the appeal of an interventionist account of causation as its dependence on (...) other assumptions is not spelled out. (shrink)

This essay explores the nexus between Buddhist discourse, moral reasoning, and aspects of indigenous ethnopsychology in a Shan community in northern Thailand. I suggest that these three strands of thought are routinely braided together in intricate ways and, furthermore, that some version of this conceptual arrangement is necessary in order for any moral thinking to take place. That is, all moral thought entails some conception of the way the world is structured (a conception that may or may not be based (...) on religion) and some ethnotheory of human nature, both of which are culturally mediated. Finally, I discuss the implications of this view for our understanding of human agency and autonomy. (shrink)

Paul Thom's book presents Kilwardby's science of logic as a body of demonstrative knowledge about inferences and their validity, about the semantics of non-modal and modal propositions, and about the logic of genus and species. This science is thoroughly intensional. It grounds the logic of inference on "that in virtue of which" the inference holds. It bases the truth conditions of propositions on relations between conceptual entities. It explains the logic of genus and species through the notion of essence. (...) Thom interprets this science as a formal logic of intensions with its own proof theory and semantics. This comprehensive reconstruction of Kilwardby's logic shows the medieval master to be one of the most interesting logicians of the thirteenth century. (shrink)

De milieuproblematiek staat pas sinds kort op de agenda als een fenomeen dat de mensheid bedreigt. Toch blijkt het negentiende-eeuwse gedachtegoed van Karl Marx verrassende inzichten te bieden om deze actuele problemen te duiden. Marx laat zien dat het menselijk ingrijpen in de natuur leidt tot zelfvervreemding: de mens ondermijnt zijn bestaan als een wezen dat zelf deel uitmaakt van de natuur. Deze zelfvervreemding cumuleert in de kapitalistische samenleving. Marx lezend zien we dat de milieuproblematiek geen historische vergissing is, maar (...) fundamenteel samenhangt met de mens als redelijk wezen. Onze beheersingsrede heeft geleid tot de vervreemding van de natuur. Toch geeft dezelfde rede die de mens de vrijheid biedt zich boven het ecologische evenwicht te verheffen, hem de mogelijkheid zich te verzoenen met de natuur. Marx verwijst naar dit dubbele gezicht van de rede als hij stelt dat het 'rijk van de vrijheid' in de schoot van het kapitalisme wordt geboren. In dit boek onderzoekt Paul Cobben welke aanzetten de huidige samenleving biedt om vorm te geven aan de verzoening met de natuur. Paul Cobben is emeritus hoogleraar geschiedenis van de moderne filosofie aan Tilburg University. Momenteel is hij gastonderzoeker aan de Vrije Universiteit Amsterdam en redacteur van de serie 'Critical Studies in German Idealism'. Van zijn hand verscheen o.a. 'Value in Capitalist Society. Rethinking Marx's Criticism of Capitalism' (2015)."-- Publisher information. (shrink)

By combining experimental interventions with search procedures for graphical causal models we show that under familiar assumptions, with perfect data, N - 1 experiments suffice to determine the causal relations among N > 2 variables when each experiment randomizes at most one variable. We show the same bound holds for adaptive learners, but does not hold for N > 4 when each experiment can simultaneously randomize more than one variable. This bound provides a type of ideal for the measure of (...) success of heuristic approached in active learning methods of casual discovery, which currently use less informative measures. (shrink)

The Renaissance was a period of great intellectual change and innovation as philosophers rediscovered the philosophy of classical antiquity and passed it on to the modern age. Renaissance philosophy is distinct both from the medieval scholasticism, based on revelation and authority, and from philosophers of the seventeenth and eighteenth centuries who transformed it into new philosophical systems. Despite the importance of the Renaissance to the development of philosophy over time, it has remained largely understudied by historians of philosophy and professional (...) philosophers. This anthology aims to correct this by providing scholars and students of philosophy with representative translations of the most important philosophers of the Renaissance. Its purpose is to help readers appreciate philosophy in the Renaissance and its importance in the history of philosophy. The anthology includes translations from philosophers from the thirteenth to the seventeenth centuries, and it ranges from works on moral and political philosophy, to metaphysics, epistemology, and natural philosophy, thereby providing historians and students of philosophy with a sense for the nature, breadth, and complexity of philosophy in the Renaissance. Each translation is accompanied by an introduction by a historian of Renaissance philosophy, as well as select secondary sources, in order to encourage further study. (shrink)

Scientific models describe natural phenomena at different levels of abstraction. Abstract descriptions can provide the basis for interventions on the system and explanation of observed phenomena at a level of granularity that is coarser than the most fundamental account of the system. Beckers and Halpern (2019), building on work of Rubenstein et al. (2017), developed an account of abstraction for causal models that is exact. Here we extend this account to the more realistic case where an abstract causal model offers (...) only an approximation of the underlying system. We show how the resulting account handles the discrepancy that can arise between low- and high-level causal models of the same system, and in the process provide an account of how one causal model approximates another, a topic of independent interest. Finally, we extend the account of approximate abstractions to probabilistic causal models, indicating how and where uncertainty can enter into an approximate abstraction. (shrink)

Oaksford & Chater (O&C) aim to provide teleological explanations of behavior by giving an appropriate normative standard: Bayesian inference. We argue that there is no uncontroversial independent justification for the normativity of Bayesian inference, and that O&C fail to satisfy a necessary condition for teleological explanations: demonstration that the normative prescription played a causal role in the behavior's existence.

We argue that the authors’ call to integrate Bayesian models more strongly with algorithmic- and implementational-level models must go hand in hand with a call for a fully developed account of algorithmic rationality. Without such an account, the integration of levels would come at the expense of the explanatory benefit that rational models provide.

An interventionist account of causation characterizes causal relations in terms of changes resulting from particular interventions. We provide an example of a causal relation for which there does not exist an intervention satisfying the common interventionist standard. We consider adaptations that would save this standard and describe their implications for an interventionist account of causation. No adaptation preserves all the aspects that make the interventionist account appealing.

We provide a critical assessment of the account of causal emergence presented in Erik Hoel’s 2017 article “When the map is better than the territory”. The account integrates causal and information theoretic concepts to explain under what circumstances there can be causal descriptions of a system at multiple scales of analysis. We show that the causal macro variables implied by this account result in interventions with significant ambiguity, and that the operations of marginalization and abstraction do not commute. Both of (...) these are desiderata that, we argue, any account of multi-scale causal analysis should be sensitive to. The problems we highlight in Hoel’s definition of causal emergence derive from the use of various averaging steps and the introduction of a maximum entropy distribution that is extraneous to the system under investigation. (shrink)

We consider the problems arising from using sequences of experiments to discover the causal structure among a set of variables, none of whom are known ahead of time to be an “outcome”. In particular, we present various approaches to resolve conflicts in the experimental results arising from sampling variability in the experiments. We provide a sufficient condition that allows for pooling of data from experiments with different joint distributions over the variables. Satisfaction of the condition allows for an independence test (...) with greater sample size that may resolve some of the conflicts in the experimental results. The pooling condition has its own problems, but should—due to its generality—be informative to techniques for meta-analysis. (shrink)

Within a physicalist-mechanistic worldview, in which we cannot be more than intelligent, self-reproducing biomachines or biobots, fundamentals of a new approach to the science of human self-explanation are outlined. Some a priori logical necessities, or determinants, of any biobot’s control system design are recognized. Evolution had to satisfy them, but neuroscience and cognitive science so far do not clearly see these basics. It is concluded that the old part of the brain still contains the genetically fixed drives, responses, and the (...) physiological control. Here is the seat of an ancient somatic self that is not intelligent but is still the active center of our life. The neocortex has evolved to serve the somatic self with intelligence by individually building a virtual model of the external material and social world. This model is used by the somatic self to “pre-play” intended actions and responses to see whether they would satisfy its needs. This schema of global brain function provides the neurological foundation for the ego-id dichotomy in analytic psychology, as well as some critique of it. Following the groundbreaking experiments by Benjamin Libet and John-Dylan Haynes et al. , consciousness is taken as a “theater” that presents what the neural networks already have worked out, and freedom of the will is limited. The explosive growth of culture and civilization began when neocortical power exceeded a certain threshold. This can be taken as a quasi-mutation that projected us into a supra-biological space of existence that is new to natural history. It is not clear whether this event will lead to a positive future for humanity or to doom. Functional religion is seen as a neurosystemic attempt to bring back the earlier natural state. Thus, it can be valuable when cleared of mythological ballast. (shrink)

[1] Das Werten.--[2] Das Erkennen.--[3] Das Handeln.

Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue that their purported confirmation largely relies on a methodology that depends on premises that are inconsistent with the claim that people are Bayesian about learning and inference. Bayesian models in cognitive science derive their appeal from their normative claim that the modeled inference is in some sense rational. Standard accounts of the rationality of Bayesian inference imply predictions that an agent selects the option that maximizes the (...) posterior expected utility. Experimental confirmation of the models, however, has been claimed because of groups of agents that probability match the posterior. Probability matching only constitutes support for the Bayesian claim if additional unobvious and untested (but testable) assumptions are invoked. The alternative strategy of weakening the underlying notion of rationality no longer distinguishes the Bayesian model uniquely. A new account of rationality—either for inference or for decision-making—is required to successfully confirm Bayesian models in cognitive science. (shrink)

Using the flexibility of recently developed methods for causal discovery based on Boolean satisfiability solvers, we encode a variety of assumptions that weaken the Faithfulness assumption. The encoding results in a number of SAT-based algorithms whose asymptotic correctness relies on weaker conditions than are standardly assumed. This implementation of a whole set of assumptions in the same platform enables us to systematically explore the effect of weakening the Faithfulness assumption on causal discovery. An important effect, suggested by simulation results, is (...) that adopting weaker assumptions greatly alleviates the problem of conflicting constraints and substantially shortens solving time. As a result, SAT-based causal discovery is potentially more scalable under weaker assumptions. (shrink)

In this work, Paul Bartha proposes a normative theory of analogical arguments and raises questions and proposes answers regarding the criteria for evaluating analogical arguments, the philosophical justification for analogical reasoning, and the place of scientific analogies in the context of theoretical confirmation.

We argue that current discussions of criteria for actual causation are ill-posed in several respects. (1) The methodology of current discussions is by induction from intuitions about an infinitesimal fraction of the possible examples and counterexamples; (2) cases with larger numbers of causes generate novel puzzles; (3) "neuron" and causal Bayes net diagrams are, as deployed in discussions of actual causation, almost always ambiguous; (4) actual causation is (intuitively) relative to an initial system state since state changes are relevant, but (...) most current accounts ignore state changes through time; (5) more generally, there is no reason to think that philosophical judgements about these sorts of cases are normative; but (6) there is a dearth of relevant psychological research that bears on whether various philosophical accounts are descriptive. Our skepticism is not directed towards the possibility of a correct account of actual causation; rather, we argue that standard methods will not lead to such an account. A different approach is required. (shrink)