Pluralistic ignorance is a socio-psychological phenomenon that involves a systematic discrepancy between people’s private beliefs and public behavior in certain social contexts. Recently, pluralistic ignorance has gained increased attention in formal and social epistemology. But to get clear on what precisely a formal and social epistemological account of pluralistic ignorance should look like, we need answers to at least the following two questions: What exactly is the phenomenon of pluralistic ignorance? And can the phenomenon arise among perfectly rational agents? In (...) this paper, we propose answers to both these questions. First, we characterize different versions of pluralistic ignorance and define the version that we claim most adequately captures the examples cited as paradigmatic cases of pluralistic ignorance in the literature. In doing so, we will stress certain key epistemic and social interactive aspects of the phenomenon. Second, given our characterization of pluralistic ignorance, we argue that the phenomenon can indeed arise in groups of perfectly rational agents. This, in turn, ensures that the tools of formal epistemology can be fully utilized to reason about pluralistic ignorance. (shrink)

We present a logic which we call Hybrid Duration Calculus. HDC is obtained by adding the following hybrid logical machinery to the Restricted Duration Calculus : nominals, satisfaction operators, down-arrow binder, and the global modality. RDC is known to be decidable, and in this paper we show that decidability is retained when adding the hybrid logical machinery. Decidability of HDC is shown by reducing the satisfiability problem to satisfiability of Monadic Second-Order Theory of Order. We illustrate the increased expressive power (...) obtained in hybridizing RDC by showing that HDC, in contrast to RDC, can express all of the 13 possible relations between intervals. (shrink)

An algebra is effective if its operations are computable under some numbering. When are two numberings of an effective partial algebra equivalent? For example, the computable real numbers form an effective field and two effective numberings of the field of computable reals are equivalent if the limit operator is assumed to be computable in the numberings . To answer the question for effective algebras in general, we give a general method based on an algebraic analysis of approximations by elements of (...) a finitely generated subalgebra. Commonly, the computable elements of a topological partial algebra are derived from such a finitely generated algebra and form a countable effective partial algebra. We apply the general results about partial algebras to the recursive reals, ultrametric algebras constructed by inverse limits, and to metric algebras in general. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. (shrink)

This textbook examines how far economic integration in Europe has come. Is it still more useful to view the European Union countries as a set of individual economies, or does it now make more sense to look at them as forming one larger economy? The book attempts to answer this question in a range of expert contributions dealing with all the major aspects of European economic integration, including trade, economic growth, demographics, labour markets, industrial structures, foreign direct investment, monetary integration (...) and eastern enlargement. (shrink)

In recent decades there has been increasing demand for and considerable efforts to conduct cross-disciplinary research. However, assessment of research quality in such endeavours still is often based on mono-disciplinary criteria and not seldom carried out by reviewers without strong cross-disciplinary experience. The authors suggest a two-pronged approach to cross-disciplinary research evaluation. One part should comprise an individual review of all the disciplines involved based on their mono-disciplinary sets of criteria. The other part should be a separate evaluation of the (...) cross-disciplinary aspects based on the review of “problem formulation”, “integration and scope of the disciplines”, “parts and the whole”, “practical managerial aspects” and “the applied aspects”. The pros and cons of implementing this approach in a stepwise manner or simultaneously is discussed. It is suggested that funding agencies develop more fair sets of review procedures for cross-disciplinary research and show willingness to allocate extra funds and time to such forms of research that sometimes are regarded as relatively more “risky” than conventional mono-disciplinary types. (shrink)

In recent decades there has been increasing demand for and considerable efforts to conduct cross-disciplinary research. However, assessment of research quality in such endeavours still is often based on mono-disciplinary criteria and not seldom carried out by reviewers without strong cross-disciplinary experience. The authors suggest a two-pronged approach to cross-disciplinary research evaluation. One part should comprise an individual review of all the disciplines involved based on their mono-disciplinary sets of criteria. The other part should be a separate evaluation of the (...) cross-disciplinary aspects based on the review of “problem formulation”, “integration and scope of the disciplines”, “parts and the whole”, “practical managerial aspects” and “the applied aspects”. The pros and cons of implementing this approach in a stepwise manner or simultaneously is discussed. It is suggested that funding agencies develop more fair sets of review procedures for cross-disciplinary research and show willingness to allocate extra funds and time to such forms of research that sometimes are regarded as relatively more “risky” than conventional mono-disciplinary types. (shrink)

Throughout the last decade, there has been an increased interest in various forms of dynamic epistemic logics to model the flow of information and the effect this flow has on knowledge in multi-agent systems. This enterprise, however, has mostly been applicationally and semantically driven. This results in a limited amount of proof theory for dynamic epistemic logics. In this paper, we try to compensate for a part of this by presenting terminating tableau systems for full dynamic epistemic logic with action (...) models and for a hybrid public announcement logic. The tableau systems are extensions of already existing tableau systems, in addition to which we have used the reduction axioms of dynamic epistemic logic to define rules for the dynamic part of the logics. Termination is shown using methods introduced by Braüner, Bolander, and Blackburn. (shrink)

During the past decades, research collaboration between researchers from different disciplines has become more frequent. However, there is a need to look into the generic modalities and challenges. The article explores a series of potential obstructions to cross-disciplinary collaboration of methodological and epistemological nature. Furthermore, a number of contextual, inhibiting factors are outlined. As means of overcoming the obstacles, the importance of mutual knowledge, allocation of adequate time and conducive research management is emphasised. New teams may benefit from tutoring by (...) facilitators, who can help to make problem areas explicit and negotiate solutions. Owing to the training background of the author, most of the examples are drawn from the interface between biomedicine/natural science and applied medical anthropology. However, the issues raised basically apply to all sorts of cross-disciplinary research collaboration in various combinations. (shrink)

In this paper, we investigate the social herding phenomenon known as informational cascades, in which sequential inter-agent communication might lead to epistemic failures at group level, despite availability of information that should be sufficient to track the truth. We model an example of a cascade, and check the correctness of the individual reasoning of each agent involved, using two alternative logical settings: an existing probabilistic dynamic epistemic logic, and our own novel logic for counting evidence. Based on this analysis, we (...) conclude that cascades are not only likely to occur but are sometimes unavoidable by "rational" means: in some situations, the group’s inability to track the truth is the direct consequence of each agent’s rational attempt at individual truth-tracking. Moreover, our analysis shows that this is even so when rationality includes unbounded higher-order reasoning powers, as well as when it includes simpler, non-Bayesian forms of heuristic reasoning. (shrink)

In many social contexts, social influence seems to be inescapable: the behavior of others influences us to modify ours, and vice-versa. However, social psychology is full of examples of phenomena where individuals experience a discrepancy between their public behavior and their private opinion. This raises two central questions. First, how does an individual reason about the behavior of others and their private opinions in situations of social influence? And second, what are the laws of the resulting information dynamics? In this (...) paper, we address these questions by introducing a formal framework for representing reasoning about an individual’s private opinions and public behavior under the dynamics of social influence in social networks. Moreover, we dig deeper into the involved information dynamics by modeling how individuals can learn about each other based on this reasoning. This compels us to introduce a new formal notion of reflective social influence. Finally, we initialize the work on proof theory and automated reasoning for our framework by introducing a sound and complete tableaux system for a fragment of our logic. Furthermore, this constitutes the first tableau system for the “Facebook logic” of J. Seligman, F. Liu, and P. Girard. (shrink)

This paper introduces a logic to reason about a well-known model of opinion dynamics in socialnetworks initially developed by Morris DeGroot as well as Keith Lehrer and Carl Wagner. The proposed logic is an extension of Lukasiewicz' famous fuzzy logic with additional equational expressivity, modal operators, machinery from hybrid logic, and dynamic modalities. The model of opinion dynamics in social networks is simple enough to be easily grasped, but still complex enough to have interesting mathematical properties and applications. Thus, developing (...) a logic to reason about this particular model serves as a paradigmatic example of how logic can be useful in social network analysis. (shrink)

In this paper the machinery of Hybrid Logic and the logic of public announcements are merged. In order to bring the two logics together properly the underlying hybrid logic has been changed such that nominals only partially denote states. The hybrid logic contains nominals, satisfaction operators, the downarrow binder as well as the global modality. Following this, an axiom system for the Hybrid Public Announcement Logic is presented and using reduction axioms general completeness is proved. The general completeness allows for (...) an easy way of adding distributed knowledge. Furthermore, it turns out that distributed knowledge is definable using satisfaction operators and the downarrow binder. (shrink)

In this paper we define a family of many-valued semantics for hybrid logic, where each semantics is based on a finite Heyting algebra of truth-values. We provide sound and complete tableau systems for these semantics. Moreover, we show how the tableau systems can be made terminating and thereby give rise to decision procedures for the logics in question. Our many-valued hybrid logics turn out to be "intermediate" logics between intuitionistic hybrid logic and classical hybrid logic in a specific sense explained (...) in the paper. Our results show that many-valued hybrid logic is indeed a natural enterprise. (shrink)

In this paper we define a family of many-valued semantics for hybrid logic, where each semantics is based on a finite Heyting algebra of truth-values. We provide sound and complete tableau systems for these semantics. Moreover, we show how the tableau systems can be made terminating and thereby give rise to decision procedures for the logics in question. Our many-valued hybrid logics turn out to be "intermediate" logics between intuitionistic hybrid logic and classical hybrid logic in a specific sense explained (...) in the paper. Our results show that many-valued hybrid logic is indeed a natural enterprise. (shrink)

In this paper the phenomenon of pluralistic ignorance is discussed and it is argued why it is of relevance for epistemic logic and social psychology. Roughly put, pluralistic ignorance is the case when a group of interacting agents all experience a discrepancy between their private opinions and the perceived opinions of the others. After introducing the phenomenon, numerous features of pluralistic ignorance that are of interest for epistemic logic and social epistemology, are discussed. This discussion serves two purposes: It recaps (...) the existing research on pluralistic ignorance within epistemic logic and social epistemology, while at the same time stating open problems for social epistemology and epistemic logic that pertains to the study of pluralistic ignorance. Finally, it is argued that the features of pluralistic ignorance of interest to epistemic logic and social epistemology relate to general features of information dynamics in situations of social interaction. (shrink)

``Pluralistic ignorance'' is a phenomenon mainly studied in social psychology. Viewed as an epistemic phenomenon, one way to define it is as a situation where ``no one believes, but everyone believes that everyone else believes''. In this paper various versions of pluralistic ignorance are formalized using epistemic/doxastic logic. The motive is twofold. Firstly, the formalizations are used to show that the various versions of pluralistic ignorance are all consistent, thus there is nothing in the phenomenon that necessarily goes against logic. (...) Secondly, pluralistic ignorance, is on many occasions, assumed to be fragile. In this paper, however, it is shown that pluralistic ignorance need not be fragile to announcements of the agents' beliefs. Hence, to dissolve pluralistic ignorance in general, something more than announcements of the subjective views of the agents is needed. Finally, suggestions to further research are outlined. (shrink)

Dynamic Epistemic Logic is claimed to be a dynamic version of epistemic logic. While this being true, there are several dynamical aspects that cannot be reasoned about in Dynamic Epistemic Logic. When a scenario is fixed and a possible world model representing the scenario is constructed, the possible future ways the system can evolve are in some sense already determined. For instance no new agents can enter the scenario and no new propositional facts can become relevant. This modeling perspective is (...) the main motivation for the partial version of Dynamic Epistemic Logic introduced in this paper, which in particular, allows for the set of agents and the set of propositional variables to change. (shrink)

Our beliefs and opinions are shaped by others, making our social networks crucial in determining what we believe to be true. Sometimes this is for the good because our peers help us form a more accurate opinion. Sometimes it is for the worse because we are led astray. In this context, we address via agent-based computer simulations the extent to which patterns of connectivity within our social networks affect the likelihood that initially undecided agents in a network converge on a (...) true opinion following group deliberation. The model incorporates a fine-grained and realistic representation of belief and trust, and it allows agents to consult outside information sources. We study a wide range of network structures and provide a detailed statistical analysis concerning the exact contribution of various network metrics to collective competence. Our results highlight and explain the collective risks involved in an overly networked or partitioned society. Specifically, we find that 96% of the variation in collective competence across networks can be attributed to differences in amount of connectivity and clustering, which are negatively correlated with collective competence. A study of bandwagon or “group think” effects indicates that both connectivity and clustering increase the probability that the network, wholly or partly, locks into a false opinion. Our work is interestingly related to Gerhard Schurz’s work on meta-induction and can be seen as broadly addressing a practical limitation of his approach. (shrink)

According to popular belief, big data and machine learning provide a wholly novel approach to science that has the potential to revolutionise scientific progress and will ultimately lead to the ‘end of theory’. Proponents of this view argue that advanced algorithms are able to mine vast amounts of data relating to a given problem without any prior knowledge and that we do not need to concern ourselves with causality, as correlation is sufficient for handling complex issues. Consequently, the human contribution (...) to scientific progress is deemed to be non-essential and replaceable. We, however, following the position most commonly represented in the philosophy of science, argue that the need for human expertise remains. Based on an analysis of big data and machine learning methods in two case studies—skin cancer detection and protein folding—we show that expert knowledge is essential and inherent in the application of these methods. Drawing on this analysis, we establish a classification of the different kinds of expert knowledge that are involved in the application of big data and machine learning in scientific contexts. We address the ramifications of a human-driven expert knowledge approach to big data and machine learning for scientific practice and the discussion about the role of theory. Finally, we show that the ways in which big data and machine learning both influence and are influenced by scientific methodology involve continuous conceptual shifts rather than a rigid paradigm change. (shrink)

This paper introduces a general logical framework for reasoning about diffusion processes within social networks. The new “Logic for Diffusion in Social Networks” is a dynamic extension of standard hybrid logic, allowing to model complex phenomena involving several properties of agents. We provide a complete axiomatization and a terminating and complete tableau system for this logic and show how to apply the framework to diffusion phenomena documented in social networks analysis.

In this paper a first-order version of hybrid logic is presented. The language is obtained by adding nominals, satisfaction operators and the down-arrow binder to classical first-order modal logic. The satisfaction operators are applied to both formulas and terms. Moreover adding the universal modality is discussed. This first-order hybrid language is interpreted over varying domains and a sound and complete, fully internalized tableau system for this logic is given.

We propose a new dynamic hybrid logic to reason about social networks and their dynamics building on the work of “Logic in the Community” by Seligman, Liu and Girard. Our framework distinguishes between the purely private sphere of agents, namely their mental states, and the public sphere of their observable behavior, i.e., what they seem to believe. We then show how such a distinction allows our framework to model many social phenomena, by presenting the case of pluralistic ignorance as an (...) example and discussing some of its dynamic properties. (shrink)

Knowledge on regulatory relations, in for example regulatory pathways in biology, is used widely in experiment design by biomedical researchers and in systems biology. The knowledge has typically either been represented through simple graphs or through very expressive differential equation simulations of smaller sections of a pathway. As an alternative, in this work we suggest a knowledge representation of the most basic relations in regulatory processes regulates, positively regulates and negatively regulates in logics based on a semantic analysis. We discuss (...) the usage of these relations in biology and in artificial intelligence for hypothesis development in drug discovery. (shrink)

This article discusses ethnoveterinary medical pluralism in Western Kenya. Qualitative methods of data collection such as key informant interviews, open-ended in-depth interviews, focus group discussions (FGDs), narratives, and participant and direct observations were applied. The study shows that farmers in Nyang’oma seek both curative and preventive medical services for their animals from the broad range of health care providers available to them within a pluralistic medical system. Kleinman’s model of medical pluralism, which describes the professional, folk, and popular sectors, informs (...) this discussion because of its relevance and appropriateness to the study. It is, however, important to note the overlap in the three sectors and to point out that livestock farmers engage in multiple “consultations” based on a combination of their own characteristics and the cost, availability and specialization of health care providers. The study concludes by recognizing the complexity of ethnoveterinary medical pluralism and calls for the integration of a pluralistic perspective into the planning and implementation of animal health care interventions and services. (shrink)

Most eighteenth- and nineteenth-century portrait paintings have eyes staring outward at the beholder. A minority of these eyes have slightly elevated pupils in comparison to the iris. These off-centre pupils are not the norm, but they occur regularly in works by skilful European portrait painters in the eighteenth and nineteenth centuries. This article takes a closer look at selected portrait paintings by Danish artists Jens Juel and Constantin Hansen and argues that the discrepancy between the pupils and the (...) rest of the paintings creates an illusion of movement or presence when looking the paintings in the eye. The discrepancy creates an aesthetic effect corresponding with Merleau-Ponty’s concept of internal discordance. According to Merleau-Ponty, visual art can create the illusion of movement by portraying its parts in different moments. These internal discordances make the painting “move” because the beholder unconsciously creates a fictive link between the parts thereby expanding time in space. The article combines presence theory (Jean-Luc Nancy and Hans Ulrich Gumbrecht), phenomenology (Merleau-Ponty) and art theory and perception theory (James Elkins, Dominic McIver Lopes and Michael Fried) in order to study the effects and possible reasons for creating pupils out of sync with the rest of the painting. (shrink)

How can work be a genuine good in life? I argue that this requires overcoming a problem akin to that studied by Marx scholars as the problem of work, freedom and necessity: how can work be something we genuinely want to do, given that its content is not up to us, but is determined by necessity? I argue that the answer involves valuing contributing to the good of others, typically as valuing active pro-sociality – that is, valuing actively doing something (...) good for others. This makes work better in one way, and may even make work something we are genuinely glad to have in our lives. Contemporary philosophical thinking about good work tends to focus on how work can be good for the person doing it, by providing, for example, self-realization or social relationships, while underappreciating the special importance of valuing social contribution. People will typically only really want work if they want a part of their lives to be about the good of others. This also means that work may be a part of the best life, something we should take into account when discussing work-related policies and the desirability of a ‘post-work’ future. (shrink)

In this paper, I investigate whether we can use a world-involving framework to model the epistemic states of non-ideal agents. The standard possible-world framework falters in this respect because of a commitment to logical omniscience. A familiar attempt to overcome this problem centers around the use of impossible worlds where the truths of logic can be false. As we shall see, if we admit impossible worlds where “anything goes” in modal space, it is easy to model extremely non-ideal agents that (...) are incapable of performing even the most elementary logical deductions. A much harder, and considerably less investigated challenge is to ensure that the resulting modal space can also be used to model moderately ideal agents that are not logically omniscient but nevertheless logically competent. Intuitively, while such agents may fail to rule out subtly impossible worlds that verify complex logical falsehoods, they are nevertheless able to rule out blatantly impossible worlds that verify obvious logical falsehoods. To model moderately ideal agents, I argue, the job is to construct a modal space that contains only possible and non-trivially impossible worlds where it is not the case that “anything goes”. But I prove that it is impossible to develop an impossible-world framework that can do this job and that satisfies certain standard conditions. Effectively, I show that attempts to model moderately ideal agents in a world-involving framework collapse to modeling either logical omniscient agents, or extremely non-ideal agents. (shrink)

It has recently been argued that a sensitivity theory of knowledge cannot account for intuitively appealing instances of higher-order knowledge. In this paper, we argue that it can once careful attention is paid to the methods or processes by which we typically form higher-order beliefs. We base our argument on what we take to be a well-motivated and commonsensical view on how higher-order knowledge is typically acquired, and we show how higher-order knowledge is possible in a sensitivity theory once this (...) view is adopted. (shrink)

In a possible world framework, an agent can be said to know a proposition just in case the proposition is true at all worlds that are epistemically possible for the agent. Roughly, a world is epistemically possible for an agent just in case the world is not ruled out by anything the agent knows. If a proposition is true at some epistemically possible world for an agent, the proposition is epistemically possible for the agent. If a proposition is true at (...) all epistemically possible worlds for an agent, the proposition is epistemically necessary for the agent, and as such, the agent knows the proposition. -/- This framework presupposes an underlying space of worlds that we can call epistemic space. Traditionally, worlds in epistemic space are identified with possible worlds, where possible worlds are the kinds of entities that at least verify all logical truths. If so, given that epistemic space consists solely of possible worlds, it follows that any world that may remain epistemically possible for an agent verifies all logical truths. As a result, all logical truths are epistemically necessary for any agent, and the corresponding framework only allows us to model logically omniscient agents. This is a well-known consequence of the standard possible world framework, and it is generally taken to imply that the framework cannot be used to model non-ideal agents that fall short of logical omniscience. -/- A familiar attempt to model non-ideal agents within a broadly world involving framework centers around the use of impossible worlds where the truths of logic can be false. As we shall see, if we admit impossible worlds where “anything goes” in epistemic space, it is easy to avoid logical omniscience. If any logical falsehood is true at some impossible world, then any logical falsehood may remain epistemically possible for some agent. As a result, we can use an impossible world involving framework to model extremely non-ideal agents that do not know any logical truths. -/- A much harder, and considerably less investigated challenge is to ensure that the resulting epistemic space can also be used to model moderately ideal agents that are not logically omniscient but nevertheless logically competent. Intuitively, while such agents may fail to rule out impossible worlds that verify complex logical falsehoods, they are nevertheless able to rule out impossible worlds that verify obvious logical falsehoods. To model such agents, we need a construction of a non-trivial epistemic space that partly consists of impossible worlds where not "anything goes". This involves imposing substantive constraints on impossible worlds to eliminate from epistemic space, say, trivially impossible worlds that verify obvious logical falsehoods. -/- The central aim of this dissertation is to investigate the nature of such non-trivially impossible worlds and the corresponding epistemic spaces. To flag my conclusions, I argue that successful constructions of epistemic spaces that can safely navigate between the Charybdis of logical omniscience and the Scylla of of “anything goes” are hard, if not impossible to find. (shrink)

The mechanistic view of computation contends that computational explanations are mechanistic explanations. Mechanists, however, disagree about the precise role that the environment – or the so-called “contextual level” – plays for computational explanations. We advance here two claims: Contextual factors essentially determine the computational identity of a computing system ; this means that specifying the “intrinsic” mechanism is not sufficient to fix the computational identity of the system. It is not necessary to specify the causal-mechanistic interaction between the system and (...) its context in order to offer a complete and adequate computational explanation. While the first claim has been discussed before, the second has been practically ignored. After supporting these claims, we discuss the implications of our contextualist view for the mechanistic view of computational explanation. Our aim is to show that some versions of the mechanistic view are consistent with the contextualist view, whilst others are not. (shrink)

The mechanistic view of computation contends that computational explanations are mechanistic explanations. Mechanists, however, disagree about the precise role that the environment – or the so-called “contextual level” – plays for computational explanations. We advance here two claims: Contextual factors essentially determine the computational identity of a computing system ; this means that specifying the “intrinsic” mechanism is not sufficient to fix the computational identity of the system. It is not necessary to specify the causal-mechanistic interaction between the system and (...) its context in order to offer a complete and adequate computational explanation. While the first claim has been discussed before, the second has been practically ignored. After supporting these claims, we discuss the implications of our contextualist view for the mechanistic view of computational explanation. Our aim is to show that some versions of the mechanistic view are consistent with the contextualist view, whilst others are not. (shrink)

This paper analyzes the internet policy discourse regarding the German Network Enforcement Act (NetzDG) in different media settings. We examine the conversation about this highly controversial anti-hate speech law on IT blogs, websites, and in daily German newspapers. We compare the positions brought forward in these different media environments concerning one of the most important topics within the discussion about the NetzDG, specifically the question of whether or not the law will result in censorship, limiting users’ freedom of expression. We (...) employ pretrained transformer-based language models to detect and quantify recurring arguments in the debate. (shrink)

Logicians have often suggested that the use of Euler-type diagrams has influenced the idea of the quantification of the predicate. This is mainly due to the fact that Euler-type diagrams display more information than is required in traditional syllogistics. The paper supports this argument and extends it by a further step: Euler-type diagrams not only illustrate the quantification of the predicate, but also solve problems of traditional proof theory, which prevented an overall quantification of the predicate. Thus, Euler-type diagrams can (...) be called the natural basis of syllogistic reasoning and can even go beyond. In the paper, these arguments are presented in connection with the book Nucleus Logicae Weisaniae by Johann Christian Lange from 1712. (shrink)

It is little known that Schopenhauer (1788–1860) made thorough use of Euler diagrams in his works. One specific diagram depicts a high number of concepts in relation to Good and Evil. It is, hence, uncharacteristic as logicians of that time seldom used diagrams for more than three terms (the number demanded by syllogisms). The objective of this paper is to make sense of this diagram by explaining its function and inquiring whether it could be viewed as an early serious attempt (...) to construct complex diagrams. (shrink)

This work is a systematic investigation of a range of solutions offered today for the philosophical problem of mental causation. The premises constituting the problem are analyzed before a survey is developed of the most popular theories on mental causation. It is demonstrated in detail why most of these canonical solutions must be considered deficient. In a third part, the 'new compatibilist's' approach to mental causation is explored, which is characterized by assertion of a non-identity-but-non-distinctness principle. The last part aims (...) to offer an alternative solution to the problem. On the basis of a certain set of counterfactual conditionals, which are jointly taken to provide a definition of 'causal proportionality' that improves the existing definitions, it is shown that a specific, and hitherto widely neglected, version of causal overdeterminationism must be considered the most successful solution to the problem of mental causation. (shrink)

Mit dem Begriff der Innenwelt der Ökonomie adressiert der vorliegende Band die vielfältigen Eintrittspunkte von ökonomischem Wissen in die Wirtschaft. Dieses Wissen ist nicht auf die Wirtschaftswissenschaft beschränkt. Vielmehr findet ökonomisch relevante Wissensproduktion auch in der Politik, den Medien, in der Wirtschaft selbst sowie anderen gesellschaftlichen Bereichen statt. Die Beiträge des Bandes zeichnen aus soziologischer, wissenschaftshistorischer, ethnographischer und wissenschaftstheoretischer Perspektive die Umrisse dieses Forschungsfeldes nach. Ihr gemeinsames Ziel ist eine systematische empirische Untersuchung wirtschaftswissenschaftlichen Wissens und dessen Einfluss auf ökonomische Verhältnisse (...) vor einem interdisziplinären Horizont. Ihr Gegenstandsbereich umfasst die Produktion ökonomischen Wissens, die Wirtschaftswissenschaft als Faktor im Spiel um Macht und Legitimität sowie die performative Rolle der Ökonomik. (shrink)