Psychometric g—a statistical factor capturing intercorrelations between scores on different IQ tests—is of theoretical interest despite being a low-fidelity model of both folk psychological intelligence and its cognitive/neural underpinnings. Psychometric g idealizes away from those aspects of cognitive/neural mechanisms that are not explanatory of the relevant variety of folk psychological intelligence, and it idealizes away from those varieties of folk psychological intelligence that are not generated by the relevant cognitive/neural substrate. In this manner, g constitutes a high-fidelity bridge (...) model of the relationship between its two targets and, thereby, helps demystify the relationship between folk and scientific psychology. (shrink)

The concept of regulatory ‘checkpoints’ in the eukaryotic cycle has proved to be a fruitful one. Here, its applicability to the bacterial cell cycle is examined. A primitive DNA damage checkpoint operates in E. coli such that, after exposure to ultraviolet light, while excision repair occurs, chromosome replication continues very slowly with the production of discontinuous daughter strands. The slower the rate of excision of photoproducts, the greater the delay before the normal rate of DNA replication is restored, the additional (...) time for repair ensuring that normal survival is maintained. A model is proposed in which replication rate is controlled by the ratio of RecAcoated to uncoated single stranded regions of DNA in the replication fork. There are also two cell division inhibitors SulA (=SfiA) and SfiC under the control of the SOS system and sensitive to DNA damage, but they are irrelevant to the survival of wild‐type bacteria under normal conditions. In strains where SulA and SfiC do not operate, inhibition is not influenced by the rate of excision repair and so fails one of the criteria for a DNA damage checkpoint, namely the monitoring of the DNA for the level of residual damage. (shrink)

It is shown that in any model of constructive mathematics in which a certain omniscience principle is false, for strongly extensional functions on an interval the distinction between sequentially continuous and regulated disappears. It follows, without the use of Markov's Principle, that any recursive function of bounded variation on a bounded closed interval is recursively sequentially continuous.

As it is essential to explore the influence of social communications on transportation routes in tourism, this article aims to examine the impacts of social communications on transportation routes in the field of tourism and to further explore the relationship between tourism destinations and their psychological perceptions. In terms of links between different tourism destinations in space and time dimensions, our empirical analysis draws the following conclusions: the behavior of tourist flow is a mediating variable on the links between tourist (...) psychological perceptions and tour routes; three modes of point-line interaction are presented in the space and time of tourism destinations; and the scenic city’s location, name, and features are important to tourists’ psychological perceptions. (shrink)

The notions of permutable and weak-permutable convergence of a series|$\sum _{n=1}^{\infty }a_{n}$|of real numbers are introduced. Classically, these two notions are equivalent, and, by Riemann’s two main theorems on the convergence of series, a convergent series is permutably convergent if and only if it is absolutely convergent. Working within Bishop-style constructive mathematics, we prove that Ishihara’s principle BD-|$\mathbb {N}$|implies that every permutably convergent series is absolutely convergent. Since there are models of constructive mathematics in which the Riemann permutation theorem for (...) series holds but BD-|$\mathbb{N}$|does not, the best we can hope for as a partial converse to our first theorem is that the absolute convergence of series with a permutability property classically equivalent to that of Riemann implies BD-|$\mathbb {N}$|. We show that this is the case when the property is weak-permutable convergence. (shrink)

The current state of the relationship between metaphysics and the philosophy of science might appear to be one best described as ‘hostility on both sides’. In an attempt to bridge this gap, French and McKenzie have suggested a two fold strategy: on the one hand, if metaphysics is to be taken to have something direct to say about reality, the implications of physics need to be properly appreciated; on the other, one does not have to agree with the claim (...) that a prioristic metaphysics should be dismissed or even discontinued, since we should value scientifically disinterested metaphysics as a ‘toolbox’ for philosophers of science. It is in the context of this strategy that I want to approach the issue of understanding the symmetry principles that feature in the Standard Model of modern physics. I shall suggest that the dispositional analysis of laws is incapable of accommodating such principles. However, there are other tools in the metaphysical toolbox that one can draw upon to help capture the nature of such symmetries corresponding to the second part of the above strategy. (shrink)

Computational modeling of the brain holds great promise as a bridge from brain to behavior. To fulfill this promise, however, it is not enough for models to be 'biologically plausible': models must be structurally accurate. Here, we analyze what this entails for so-called psychobiological models, models that address behavior as well as brain function in some detail. Structural accuracy may be supported by (1) a model's a priori plausibility, which comes from a reliance on evidence-based assumptions, (2) fitting (...) existing data, and (3) the derivation of new predictions. All three sources of support require modelers to be explicit about the ontology of the model, and require the existence of data constraining the modeling. For situations in which such data are only sparsely available, we suggest a new approach. If several models are constructed that together form a hierarchy of models, higher-level models can be constrained by lower-level models, and low-level models can be constrained by behavioral features of the higher-level models. Modeling the same substrate at different levels of representation, as proposed here, thus has benefits that exceed the merits of each model in the hierarchy on its own. (shrink)

Ecologists are challenged by the need to bridge and synthesize different approaches and theories to obtain a coherent understanding of ecosystems in a changing world. Both food web theory and regime shift theory shine light on mechanisms that confer stability to ecosystems, but from different angles. Empirical food web models are developed to analyze how equilibria in real multi-trophic ecosystems are shaped by species interactions, and often include linear functional response terms for simple estimation of interaction strengths from observations. (...) Models of regime shifts focus on qualitative changes of equilibrium points in a slowly changing environment, and typically include non-linear functional response terms. Currently, it is unclear how the stability of an empirical food web model, expressed as the rate of system recovery after a small perturbation, relates to the vulnerability of the ecosystem to collapse. Here, we conduct structural sensitivity analyses of classical consumer-resource models in equilibrium along an environmental gradient. Specifically, we change non-proportional interaction terms into proportional ones, while maintaining the equilibrium biomass densities and material flux rates, to analyze how alternative model formulations shape the stability properties of the equilibria. The results reveal no consistent relationship between the stability of the original models and the proportionalized versions, even though they describe the same biomass values and material flows. We use these findings to critically discuss whether stability analysis of observed equilibria by empirical food web models can provide insight into regime shift dynamics, and highlight the challenge of bridging alternative modelling approaches in ecology and beyond. (shrink)

This study aimed to provide evidence of validity and reliability for the Perceived Mattering Questionnaire-Physical Education developed by Richards et al. for the Chinese physical education teachers. The PMQ-PE consisted of two factors with four items in each, measuring four dimensions. PMQ-PE in Chinese was validated among 1,278 elementary and secondary school PE teachers in China, of whom 59.0% were secondary PE teachers and 70.2% were males. Confirmatory factor analysis with the entire sample found a poor model fit. Then (...) exploratory factor analysis using half of the sample indicated there was only one factor in PMQ-PEC. CFA of the other half of the sample suggested a one-factor model with the elimination of three unfitted items showed a better fitness to the data. Cronbach's alpha value was also acceptable. The final version of PMQ-PEC included five items with one factor that demonstrated acceptable validity and reliability and was deemed acceptable among Chinese PE teachers after the above modifications were made. (shrink)

How does character information inform judgments of blame? Some argue that character information is indirectly relevant to blame because it enriches judgments about the mental states of a wrongdoer. Others argue that character information is directly relevant to blame, even when character traits are causally irrelevant to the wrongdoing. We propose an empirical synthesis of these views: a Two Channel Model of blame. The model predicts that character information directly affects blame when this information is relevant to the (...) wrongdoing that elicits blame. Further, the effect of character information on blame depends on judgments about the true self that are independent of judgments of intentionality. Across three pre-registered studies (N = 662), we found support for all three predictions of the Two Channel Model. We propose that this reflects two distinct functions of blame: a social regulatory function that encourages norm compliance and a pedagogical function that encourages personal improvement. (shrink)

Fiora Salis compares the fictional and the artifactual views of models. She argues that both accounts contain several deep insights concerning the nature of scientific models but they also face some difficult challenges. She then puts forward an account of the ontology of models intended to incorporate the benefits of both views avoiding their main difficulties. Her key idea is that models are human-made artifacts that are akin to literary works of fiction. In this view, models are complex objects that (...) are constituted by a model description and the model content generated within a game of make-believe. As per the fiction view, model descriptions are construed as props in a game of make-believe, where props are concrete objects that prescribe certain imaginings. As per the artifactual view, model descriptions are construed as concrete representational tools that enable and constrain a scientist’s cognitive processes and provide intersubjective epistemic access to their imaginings. (shrink)

Open peer commentary on the article “Constructivist Model Building: Empirical Examples From Mathematics Education” by Catherine Ulrich, Erik S. Tillema, Amy J. Hackenberg & Anderson Norton. Upshot: I address the value of Ulrich et al.’s distinction between three types of second-order models. I conclude that their work contributes to the theorizing of adaptive teaching on the basis of a constructivist stance on knowing and learning.

The biopsychosocial model is characterized by the systematic consideration of biological, psychological, and social factors and their complex interactions in understanding health, illness, and health care delivery. This model opposes the biomedical model, which is the foundation of most current clinical practice. In the biomedical model, quest for evidence based medicine, the patient is reduced to molecules, genes, organelles, systems, diseases, etc. This reduction has brought great advances in medicine, but it lacks a holistic view of (...) the person. To solve the problem, we propose an early team based approach where the primary care physician leads a group of people that can help her/him address the psychosocial issues while she/he attends to the biomedical issues. This article addresses one case where the clinical ethicist facilitating a team based biopsychosocial model for the care of a patient worked as a bridge between the primary team, the critical care team, and the psychosocial team to advance the argument that good communication among the groups can lead to a true biopsychosocial model where the collaboration of the social worker, psychologist, chaplain, ethicist and the different medical teams can improve the overall patient experience. (shrink)

Knowledge claims are abundant in the literature on large language models (LLMs); but can we say that GPT-4 truly "knows" the Earth is round? To address this question, we review standard definitions of knowledge in epistemology and we formalize interpretations applicable to LLMs. In doing so, we identify inconsistencies and gaps in how current NLP research conceptualizes knowledge with respect to epistemological frameworks. Additionally, we conduct a survey of 100 professional philosophers and computer scientists to compare their preferences in knowledge (...) definitions and their views on whether LLMs can really be said to know. Finally, we suggest evaluation protocols for testing knowledge in accordance to the most relevant definitions. (shrink)

Current models of speech motor control rely on either trajectory-based control (DIVA, GEPPETO, ACT) or a dynamical systems approach based on feedback control (Task Dynamics, FACTS). While both approaches have provided insights into the speech motor system, it is difficult to connect these findings across models given the distinct theoretical and computational bases of the two approaches. We propose a new extension of the most widely used dynamical systems approach, Task Dynamics, that incorporates many of the strengths of trajectory-based approaches, (...) providing a way to bridge the theoretical divide between what have been two separate approaches to understanding speech motor control. The Task Dynamics (TD) model posits that speech gestures are governed by point attractor dynamics consistent with a critically damped harmonic oscillator. Kinematic trajectories associated with such gestures should therefore be consistent with a second-order dynamical system, possibly modified by blending with temporally overlapping gestures or altering oscillator parameters. This account of observed kinematics is powerful and theoretically appealing, but may be insufficient to account for deviations from predicted kinematics—i.e., changes produced in response to some external perturbations to the jaw, changes in control during acquisition and development, or effects of word/syllable frequency. Optimization, such as would be needed to minimize articulatory effort, is also incompatible with the current TD model, though the idea that the speech production systems economizes effort has a long history and, importantly, also plays a critical role in current theories of domain-general human motor control. To address these issues, we use Dynamic Movement Primitives (DMPs) to expand a dynamical systems framework for speech motor control to allow modification of kinematic trajectories by incorporating a simple, learnable forcing term into existing point attractor dynamics. We show that integration of DMPs with task-based point-attractor dynamics enhances the potential explanatory power of TD in a number of critical ways, including the ability to account for external forces in planning and optimizing both kinematic and dynamic movement costs. At the same time, this approach preserves the successes of Task Dynamics in handling multi-gesture planning and coordination. (shrink)

I argue that classical counterfactual semantics in the style of Stalnaker, Lewis, and Kratzer validates an inference pattern that is disconfirmed in natural language. The solution is to alter the algorithm we use to handle inconsistency in premise sets: rather than checking all maximally consistent fragments of a premise sets, as in Krazter’s semantics, we selectively remove some of the premises. The proposed implementation starts from standard premise semantics and involves a new ‘filtering’ operation that achieves just this removal. The (...) resulting semantics is interestingly related to the semantics for counterfactuals emerging from Judea Pearl’s causal models framework in computer science: in particular, filtering is a possible worlds semantics counterpart of Pearl’s interventions. (shrink)

Meta-learning is even more broadly relevant to the study of inductive biases than Binz et al. suggest: Its implications go beyond the extensions to rational analysis that they discuss. One noteworthy example is that meta-learning can act as a bridge between the vector representations of neural networks and the symbolic hypothesis spaces used in many Bayesian models.

_NeuroAnalysis _investigates using the neural network and neural computation models to bridge the divide between psychology, psychoanalysis, and neuroscience when diagnosing mental health disorders and prescribing treatment. Avi Peled builds on Freud's early attempts to explain the neural basis of mental health by introducing neural computation as a bridging science to explain psychiatric disorders. Peled describes the brain as a complex system of interconnected units and goes on to suggest that conscious experience, feelings, and mood are emergent properties arising (...) from these complex organisations. This model describes mental health disorders in terms of perturbation to the optimal brain organisation, and demonstrates how particular disorders can be identified through a specific breakdown pattern of the brain’s organisation. This fresh approach to the diagnosis of psychiatric disorders will interest students, professors, and researchers of psychoanalysis, neuroscience, and their related fields. (shrink)

My model-theoretic realist account of science places linguistic systems and the corresponding non-linguistic structures at different stages of the scientific process. It is shown that science and its progress cannot be analysed in terms of only one of these strata. Philosophy of science literature offers mainly two approaches; to the structure of scientific knowledge analysed in terms of theories and their models, the "statement" and the "non-statement" approaches. In opposition to the statement approach's belief that scientific knowledge is embodied (...) in theories symbolic language) with direct interpretative links---via so-called "bridge principles"---to reality, the defenders of the non-statement approach believe in an analysis where the language in which the theory is formulated plays a much smaller role than the structures which satisfy that theory. ;The model-theoretic realism expounded here retains the notion of a scientific theory as a set of sentences, while simultaneously emphasising the interpretative role of the conceptual models of these theories. My criticism against the non-statement approach is based on the fact that merely "giving" the theory "in terms of" its mathematical structures leaves out any real interpretation of the nature and role of general terms in science. Against the statement approach's "direct" linking of general theoretical terms to reality, my approach interpolates models between theories and reality in the interpretative chain. ;The links between the general terms of scientific theories and their interpretations in the various models of the theory regulate the whole referential process. The terms of a theory are "general" in the sense that they are the result of certain abstractive conceptualisations of the object of scientific investigation and subsequent linguistic formulations of these conceptualisations. Their meanings can be "given back" only by interpreting them in the limited context, of the various conceptual models of their theory and, finally, by finding an isomorphic relation between some substructure of the conceptual model in question and some empirical conceptualisation of relevant experimental data. In this sense the notion of scientific "truth" becomes inextricably linked with that of articulated reference, as it---given its model-dependent nature---should be. (shrink)

Efforts to bridge emotion theory with neurobiology can be facilitated by dynamic systems (DS) modeling. DS principles stipulate higher-order wholes emerging from lower-order constituents through bidirectional causal processes cognition relations. I then present a psychological model based on this reconceptualization, identifying trigger, self-amplification, and self-stabilization phases of emotion-appraisal states, leading to consolidating traits. The article goes on to describe neural structures and functions involved in appraisal and emotion, as well as DS mechanisms of integration by which they interact. (...) These mechanisms include nested feedback interactions, global effects of neuromodulation, vertical integration, action-monitoring, and synaptic plasticity, and they are modeled in terms of both functional integration and temporal synchronization. I end by elaborating the psychological model of emotion–appraisal states with reference to neural processes. (shrink)

Hunt and Vitell''s General Theory (1992) is used in a cross-cultural comparison of U.S. and Taiwanese business practitioners. Results indicate that Taiwanese practitioners exhibit lower perceptions of an ethical issue in a scenario based on bribery, as well as milder deontological evaluations and ethical judgments relative to their U.S. counterparts. In addition, Taiwan respondents showed higher likelihood of making the payment. Several of the paths between variables in the theory are confirmed in both U.S. and Taiwan samples, with summary data (...) suggesting the Hunt and Vitell theory performs well in both U.S. and Taiwan. Some unanticipated linkages within the model were uncovered in the samples. Results and implications are discussed. (shrink)

ABSTRACT:Workplace transgressions elicit a variety of opinions about their meaning and what is required to address them. This diversity in views makes it difficult for managers to identify a mutually satisfactory response and to enable repair of the relationships between the affected parties. We develop a conceptual model for understanding how to bridge these diverging perspectives and foster relationship repair. Specifically, we argue that effective relationship repair is dependent on the parties’ reciprocal concern for others’ viewpoints and collective (...) engagement in the justice repair process. This approach enhances our understanding of the interdependency between justice and reconciliation/reintegration, while also providing theoretical insight into the processes underlying restorative conferencing, innovations that promise to help managers heal damaged organizational bonds. (shrink)

The emerging field of ecological genomics promises to bring about a marriage between ecological and laboratory-based, genomic investigations. In this paper, I will reflect on this promise by exploring how ecology and genomics are integrated in the two approaches that currently dominate this field: the organism-centred approach, focusing individual organisms, and the metagenomic approach, concentrating on entire microbial communities composed of a variety of species. I will show that both approaches have already taken some important steps in bridging the gap (...) between genomics and ecology. Since the introduction of next-generation sequencing methodology in 2007, the organism-centred approach does not need to stick to classical model organisms like Arabidopsis anymore. Instead, it is now able to apply genomic tools to ecologically interesting species as well. The metagenomic approach has been able to give ecology a more prominent place in its investigations, in another way. Contrary to classical microbiology, it does not study microbial communities under controlled laboratory settings, but under nature's own conditions. However, in the marriage between genomics and ecology, genomics still appears to be the dominant partner, especially in the case of the organism-centred approach that continues to study the new ecological models in artificial lab environments. Moreover, the organism-centred and metagenomic approaches employ a gene-centred perspective in understanding critical ecological interactions, thus strengthening a reductionist rather than a holistic approach. (shrink)

Open peer commentary on the article “A Computational Constructivist Model as an Anticipatory Learning Mechanism for Coupled Agent–Environment Systems” by Filipo Studzinski Perotto. Upshot: Constructivist theory gives a nice high-level account of how knowledge can be autonomously developed by an agent interacting with an environment, but it fails to detail the mechanisms needed to bridge the gap between low levels of sensorimotor data and higher levels of cognition. AI workers are trying to bridge this gap, using task-specific (...) engineering approaches, without any principled theory to guide them; they could use help from psychologists. (shrink)

The claim that human dignity is universal is challenged by the particular experience of the horrible things people do to others. If dignity is just a ‘vacuous concept’ then the notion of universal human rights and the claim of cosmopolitism that all human beings for a single moral community are also called into question. A close reading of the Universal Declaration of Human Rights and an analysis the historical development of the text reveals a complex conception of human dignity expressed (...) by the Component Dimensions of Human Dignity model. The model conceives of human dignity in terms of four Component Dimensions – existential, behavioral, cognitive-affective and social- each consisting of a Complementary Duality comprising two facets held in tension along an axis of the Already and the Not Yet. Consequently, human dignity can be understood both as Already a universal truth, and as Not Yet realized in every particular life. (shrink)

The word “model” is highly ambiguous, and there is no uniform terminology used by either scientists or philosophers. Here, a model is considered to be a representation of some object, behavior, or system that one wants to understand. This article presents the most common type of models found in science as well as the different relations—traditionally called “analogies”—between models and between a given model and its subject. Although once considered merely heuristic devices, they are now seen as (...) indispensable to modern science. There are many different types of models used across the scientific disciplines, although there is no uniform terminology to classify them. The most familiar are physical models such as scale replicas of bridges or airplanes. These, like all models, are used because of their “analogies” to the subjects of the models. A scale model airplane has a structural similarity or “material analogy” to the full scale version. This correspondence allows engineers to infer dynamic properties of the airplane based on wind tunnel experiments on the replica. Physical models also include abstract representations which often include idealizations such as frictionless planes and point masses. Another, but completely different type of model, is constituted by sets of equations. These mathematical models were not always deemed legitimate models by philosophers. Model-to-subject and model-to-model relations are described using several different types of analogies: positive, negative, neutral, material, and formal. (shrink)

Endogenous reward (intrinsic reward at will) is a fiat currency that is occasioned by steps toward any goals which are challenging and/or uncommon enough to prevent its debasement by inflation. A “theory of mental computational processes” should propose what properties let goals grow from appetites for endogenous rewards. Endogenous reward may be the universal selective factor in all modifiable mental processes.

Engaging stakeholders in policy making and supporting policy development with advanced information and communication technologies including policy simulation is currently high on the agenda of research. In order to involve stakeholders in providing their input to policy modeling via online means, simple techniques need to be employed such as scenario technique. Scenarios enable stakeholders to express their views in narrative text. At the other end of policy development, a frequently used approach to policy modeling is agent-based simulation. So far, effective (...) support to transform narrative text input to formal simulation statements is not widely available. In this paper, we present a novel approach to support the transformation of narrative texts via conceptual modeling into formal simulation models. The approach also stores provenance information which is conveyed via annotations of texts to the conceptual model and further on to the simulation model. This way, traceability of information is provided, which contributes to better understanding and transparency, and therewith enables stakeholders and policy modelers to return to the sources that informed the conceptual and simulation model. In this paper, we present the consistent conceptual description (CCD) as conceptual modeling approach to bridge the gap between narrative texts and formal policy models. The CCD meta-model with the underlying vocabulary for describing policy contexts is detailed. A case study introduces the application of the approach in the Open Collaboration for Policy Modeling project. (shrink)

Is logic normative for belief? A standard approach to answering this question has been to investigate bridge principles relating claims of logical consequence to norms for belief. Although the question is naturally an epistemic one, bridge principles have typically been investigated in isolation from epistemic debates over the correct norms for belief. In this paper we tackle the question of whether logic is normative for belief by proposing a Kripkean model theory accounting for the interaction between logical, (...) doxastic, epistemic and deontic notions and using this model theory to show which bridge principles are implied by epistemic norms that we have independent reason to accept, for example, the knowledge norm and the truth norm. We propose a preliminary theory of the interaction between logical, doxastic, epistemic and deontic notions that has among its commitments bridge principles expressing how logic is normative for belief. We also show how our framework suggests that logic is exceptionally normative. (shrink)

The paper presents a novel view of social norms that reflects the importance of different agent types, their specific motivations and roles. How one identifies with a role and behavioral options available to the agent is crucial for the sustainability of the social norms. The analysis of a simple case of social norm is suggested as a default model for analysis, and then the classification of subjects, enforcers, and audience is introduced. This triangular typology of agents is extended by (...) introducing a network of interlocking patterns underlying social behavior. Lastly, the paper describes two categories of transgressions based on misidentification. (shrink)

A growing consensus in the philosophy and psychology of concepts is that while theories such as the prototype, exemplar, and theory theories successfully account for some instances of concept formation and application, none of them successfully accounts for all such instances. I argue against this ‘new consensus’ and show that the problem is, in fact, more severe: the explanatory force of each of these theories is limited even with respect to the phenomena often cited to support it, as each fails (...) to satisfy an important explanatory desideratum with respect to these phenomena. I argue that these explanatory shortcomings arise from a shared assumption on the part of these theories, namely, they take similarity judgements and application of causal knowledge to be discrete elements in a theory of concepts. I further propose that the same assumption carries over into alternative theories offered by proponents of the new consensus: pluralism, eliminativism, and hybrid theories. I put forth a sketch of an integrated model of concept formation and application, which rejects this shared assumption and satisfies the explanatory desiderata I discuss. I suggest that this model undermines the motivation for hybrid, pluralist, and eliminativist accounts of concepts. _1_ Introduction _2_ The Similarity-Based Approach and the Importance of Theory _2.1_ The similarity-based approach _2.2_ The selection desideratum _2.3_ Causal knowledge as satisfying the selection desideratum _3_ The Theory-Based Approach and the Importance of Similarity _3.1_ The theory-based approach _3.2_ The range desideratum _3.3_ Similarity as satisfying the range desideratum _4_ An Integrated Approach to Concepts _4.1_ An integrated model _4.2_ The integrated theory versus hybrid theories of concepts _5_ Conclusion. (shrink)

In this paper, we offer a novel analysis of bridging, paying particular attention to definite descriptions. We argue that extant theories don't do justice to the way different knowledge resources interact. In line with Hobbs (1979), we claim that the rhetorical connections between the propositions introduced in the text play an important part. But our work is distinct from his in that we model how this source of information interacts with compositional and lexical semantics. We formalize bridging in a (...) framework known as SDRT (Asher 1993). We demonstrate that this provides a richer, more accurate interpretation of definite descriptions than has been offered so far. (shrink)

This book analyzes scientific problems within the history of physics, engineering, chemistry, astronomy and medicine, correlated with technological applications in the social context. When and how is tension between disciplines explicitly practised? What is the conceptual bridge between science researches and the organization of technological researches in the development of industrial applications? -/- The authors explain various ways in which the sciences allowed advanced modelling on the one hand, and the development of new technological ideas on the other hand. (...) An emphasis on the role played by mechanisms, production methods and instruments bestows a benefit on historical and scientific discourse: theories, institutions, universities, schools for engineers, social implications as well. -/- Scholars from different traditions discuss the emergency style of thinking in methodology and, in theoretical perspective, aim to gather and re-evaluate the current thinking on this subject. It brings together contributions from leading experts in the field, and gives much-needed insight into the subject from a historical point of view. The volume composition makes for absorbing reading for historians, philosophers and scientists. (shrink)

The kind of collective improvisation attained by the “free jazz” at the beginning of the sixties sets a challenge to analytic theories of collective intentionality, that emphasize the role played by future-directed plans in the interlocking and interdependent intentions of the individual participants, because in the free jazz case the performers’ interdependence or [interplay] stems from an intuitive understanding between musicians. Otherwise said: what happens musically is not planned in advance, but arises from spontaneous interactions in the group. By looking (...) at the way jazz improvisers take up the challenge of making music together without a pre-conceived notion as to what kind of effect they will achieve and without a pre-set code of agreements, my aim has been to clarify what kind of strategies — other than advanced action plans and joint commitments — are used by improvising musicians to integrate their improvisations into a unified shared activity. In developing this proposal I initially drawn pre-theoretically on one paradigmatic study case — Ornette Coleman’s double quartet Free Jazz, A collective Improvisation and brought it in conversation with Husserl’s phenomenology of time. In a final move, I brought this phenomenological frame into dialogue with some recent readings of the predictive coding model. All in all, what we learned from the Free Jazz case is that the interdependence and interlocking of attitudes among individual participants characteristic of shared intention is not determined by a future-directed plan and the rational pressure to be responsive to and coordinate with others, it typically engages. Rather, in the free jazz case, the performers’ connection and interplay depend on the players’ readiness to feel each other out, by listening to each other playing, in a way that no doubt presupposes the Husserlian retention-protention scheme. (shrink)