We argue that the appraisal of models in social epistemology requires conceiving of them as argumentative devices, taking into account the argumentative context and adopting a family-of-models perspective. We draw up such an account and show how it makes it easier to see the value and limits of the use of models in social epistemology. To illustrate our points, we document and explicate the argumentative role of epistemic landscape models in social epistemology and highlight their limitations. (...) We also claim that our account could be fruitfully used in appraising other models in philosophy and science. (shrink)

There is no best scientific model of anything; there are only models more or less good for different purposes. Thus, there is no general answer to the question of whether one should model biological behavior using computer simulations or robots. It all depends on what one wants to learn. This is not a question about models, but about scientific goals.

The Continuous Parameter Estimation Model is applied to develop individual genomic-level heritabilities for the latent hierarchical structure and developmental dynamics of Life History (LH) strategy LH strategies relate to the allocations of bioenergetic resources into different domains of fitness. LH has moderate to high population-level heritability in humans, both at the level of the high-order Super-K Factor and the lower-order factors, the K-Factor, Covitality Factor, and General Factor of Personality (GFP). Several important questions remain unexplored. We developed measures of genome-level (...) heritabilities employing an American sample of 316 monozygotic (MZ) and 274 dizygotic (DZ) twin dyads and a Swedish sample of 863 MZ and 475 DZ twin dyads. This novel heritability index measures individual genetic transmissibility, therefore opening new avenues for analyzing complex interactions among heritable traits inaccessible to standard structural equations methods. For these samples: (1) moderate to high heritability of factor loadings of Super-K on its lower-order factors is demonstrated, evidencing biological preparedness, genetic accommodation, and the gene-culture coevolution of biased epigenetic rules of development; (2) moderate to high heritability of the magnitudes of the effect of the higher-order factors upon their loadings on their constituent factors, evidencing genetic constraints upon phenotypic plasticity; and (3) that heritability of the LH factors, of factor loadings, and of the magnitudes of the correlations among factors are weaker among those with slower LH speeds, demonstrating that inter-individual variation in transmissibility is a function of individual socioecological selection pressures. (shrink)

The human self model comprises essential features such as the experiences of ownership, of body-centered spatial perspectivity, and of a long-term unity of beliefs and attitudes. In the pathophysiology of schizophrenia, it is suggested that clinical subsyndromes like cognitive disorganization and derealization syndromes reflect disorders of this self model. These features are neurobiologically instantiated as an episodically active complex neural activation pattern and can be mapped to the brain, given adequate operationalizations of self model features. In its unique capability of (...) integrating external and internal data, the prefrontal cortex (PFC) appears to be an essential component of the neuronal implementation of the self model. With close connections to other unimodal association cortices and to the limbic system, the PFC provides an internally represented world model and internal milieu data of the organism, both serving world orientation. In the pathophysiology of schizophrenia, it is the dysfunction of the PFC that is suggested to be the neural correlate for the different clinical schizophrenic subsyndromes. The pathophysiological study of psychiatric disorders may contribute to the theoretical debate on the neuronal basis of the self model. (shrink)

Much of computational cognitive science construes human cognitive capacities as representational capacities, or as involving representation in some way. Computational theories of vision, for example, typically posit structures that represent edges in the distal scene. Neurons are often said to represent elements of their receptive fields. Despite the ubiquity of representational talk in computational theorizing there is surprisingly little consensus about how such claims are to be understood. The point of this chapter is to sketch an account of the nature (...) and function of representation in computational cognitive models. (shrink)

The aim of this article is to examine the scientific and public functions of two- andthree-dimensional models in the context of three episodes from nineteenth-century biology. Iargue that these models incorporate both data and theory by presenting theoretical assumptions inthe light of concrete data or organizing data through theoretical assumptions. Despite their diverseroles in scientific practice, they all can be characterized as mediators between data and theory.Furthermore, I argue that these different mediating functions often reflect their (...) different audiencesthat included specialized scientists, students, and the general public. In this sense, models innineteenth-century biology can be understood as mediators between theory, data, and their diverseaudiences. (shrink)

In this paper we examine the epistemic value of highly idealized agent-based models of social aspects of scientific inquiry. On the one hand, we argue that taking the results of such simulations as informative of actual scientific inquiry is unwarranted, at least for the class of models proposed in recent literature. Moreover, we argue that a weaker approach, which takes these models as providing only “how-possibly” explanations, does not help to improve their epistemic value. On the other (...) hand, we suggest that if ABMs of science underwent two types of robustness analysis, they could indeed have a clear epistemic function, namely by providing evidence for philosophical and historical hypotheses. In this sense, ABMs can obtain evidential and explanatory properties and thus be a useful tool for integrated history and philosophy of science. We illustrate our point with an example of a model—building on the work by Kevin Zollman—which we apply to a concrete historical case study. (shrink)

The Uniformly Reflexive Structure was introduced by E. G. Wagner who showed that the theory of such structures generalized much of recursive function theory. In this paper Uniformly Reflexive Structures are constructed as factor algebras of Free nonassociative algebras. Wagner's question about the existence of a model with no computable splinter ("successor set") is answered in the affirmative by the construction of a model whose only computable sets are the finite sets and their complements. Finally, for each countable Boolean algebra (...) R of subsets of a countable set which contains the finite subsets, a model is constructed with R as its family of computable sets. (shrink)

This paper first argues that evolutionary models of conceptual development which are patterned on Darwinian selection are unlikely to solve the demarcation problem. The persistence of myths shows that in most social environments unfalsifiable ideas are more likely to survive than ones which can be subjected to empirical scrutiny. I then analyze Hull's claims about how the credit system operates in science and conclude with him that it can perform a surprising variety of functions. However I argue that (...) the credit system must be constantly tempered by internalized norms which encapsulate the traditional ultimate aims of science. (shrink)

In this paper a model for barrecursion is presented. It has as a novelty that it contains discontinuous functionals. The model is based on a concept called strong majorizability. This concept is a modification of Howard's majorizability notion; see [T, p. 456].

David Hull’s book (1988) provides an evolutionary account of the development of science which pays attention to both the social and conceptual aspects of that process. Unlike most philosophers who only invoke Darwinian metaphors in a casual way, Hull takes the analogy between the biological evolution of species and the growth of scientific knowledge quite seriously and by providing abstract definitions of terms such as replicator, interactor and lineage, he makes it possible for us to see clearly the structural similarities (...) between the two historical processes.Other symposiasts will comment on how tight that analogy really is. I must remark in passing that I have never understood the intense interest which evolutionary epistemologists take in this comparison. Surely our major job is to understand how science works, perhaps by using evolutionary theory as a fallible heuristic, but nothing seems to hinge on the extent of the formal analogy. (shrink)

Compared to constraint-based causal discovery, causal discovery based on functional causal models is able to identify the whole causal model under appropriate assumptions [Shimizu et al. 2006; Hoyer et al. 2009; Zhang and Hyvärinen 2009b]. Functional causal models represent the effect as a function of the direct causes together with an independent noise term. Examples include the linear non-Gaussian acyclic model, nonlinear additive noise model, and post-nonlinear model. Currently, there are two ways to estimate the parameters in the (...) models: dependence minimization and maximum likelihood. In this article, we show that for any acyclic functional causal model, minimizing the mutual information between the hypothetical cause and the noise term is equivalent to maximizing the data likelihood with a flexible model for the distribution of the noise term. We then focus on estimation of the PNL causal model and propose to estimate it with the warped Gaussian process with the noise modeled by the mixture of Gaussians. As a Bayesian nonparametric approach, it outperforms the previous one based on mutual information minimization with nonlinear functions represented by multilayer perceptrons; we also show that unlike the ordinary regression, estimation results of the PNL causal model are sensitive to the assumption on the noise distribution. Experimental results on both synthetic and real data support our theoretical claims. (shrink)

This narrative review aims to contribute to the scientific literature on awe by reviewing seven perspectives on the evolutionary function of awe. Each is presented with accompanying empirical evidence and suggestions for research investigating unanswered questions. Based on the existing perspectives, this review proposes an integrated evolutionary model of awe, postulating the evolutionary selection of awe through three adaptive domains: (1) social cooperation, (2) reflective processing, and (3) signaling suitability as a potential mate.

The article deals with a topic of the role of science in current society and focuses on the role of political economy. There has been a critical feedback to the fact that the social sciences subordinate themselves to the interests of power instead of looking for the models of healthy society. These models should correspond with the changes in the society and should not allow to be tied with unchanging paradigms and various ‘-isms‘. Political economy should deal with (...) the topic of human freedom and increasing social inequalities, which threaten the society. It is important to work with sustainable relationship of social-economical and natural environment and with the relationship of culture and nature.) It is a new way of understanding what production means and how the society should cope with it. It is not just about classic waste but also about negative externalities. The human cannot be reduced to ‘human resources‘ or ‘homo economicus‘. The emphasis is laid on humanity and taking human as an indivisible individual. The article emphasizes the importance of full responsibility preference over limited responsibility and preference of the individual and community over an economical corporation. The society cannot be reduced or administrated as an economical or accounting unit. Good governance includes taking care of reproduction, justice and safety. It is all about sufficiency, dignity and trust among people. The most important is the fight for human freedom and independent life, which is the meaning of itself. People who are free and can persist in such fight, which is held by a spirit of unity, are important but also more and more rare. Political economy should look for the possibilities how to follow up the Jewish-Christian tradition without the God. (shrink)

The classic logical positivist account of historical explanation, putting forward what is variously called the "regularity interpretation" (#Gardiner, The Nature of Historical Explanation), the "covering law model" (#Dray, Laws and Explanation in History), or the "deductive model" (Michael #Scriven, "Truisms as Grounds for Historical Explanations"). See also #Danto, Narration and Knowledge, for further criticisms of the model. Hempel formalizes historical explanation as involving (a) statements of determining (initial and boundary) conditions for the event to be explained, and (b) statements of (...) general laws that imply that whenever events of the kind described in (a) occur, an event of the kind to be explained will take place. He admits that in practice historians rarely explain historical events in this way, but instead give only fragmentary "explanation sketches." Such sketches can, however, be "scientifically acceptable," providing it points to where "more specific statements" are to be found (351). An interesting aspect of the article is its "late" positivist, proto‑Kuhnian assertion that "the separation of 'pure description' and 'hypothetical generalization and theory construction' in empirical science is unwarranted" (356). But Hempel does not work out the wider implications of this important conclusion. It is also worth noting that he himself was not much interested in the philosophy of history; other authors took up his model and discussed it within that context. Usefully discussed by #Ricoeur, Time and Narrative, 1:112‑17. (shrink)

I discuss here the definition of computer simulations, and more specifically the views of Humphreys, who considers that an object is simulated when a computer provides a solution to a computational model, which in turn represents the object of interest. I argue that Humphreys's concepts are not able to analyse fully successfully a case of contemporary simulation in physics, which is more complex than the examples considered so far in the philosophical literature. I therefore modify Humphreys's definition of simulation. I (...) allow for several successive layers of computational models, and I discuss the relations that exist between these models, the computer, and the object under study. An aim of my proposal is to clarify the distinction between computational models and numerical methods, and to better understand the representational and the computational functions of models in simulations. (shrink)

We study the identifiability and estimation of functional causal models under selection bias, with a focus on the situation where the selection depends solely on the effect variable, which is known as outcome-dependent selection. We address two questions of identifiability: the identifiability of the causal direction between two variables in the presence of selection bias, and, given the causal direction, the identifiability of the model with outcome-dependent selection. Regarding the first, we show that in the framework of post-nonlinear causal (...) models, once outcome-dependent selection is properly modeled, the causal direction between two variables is generically identifiable; regarding the second, we identify some mild conditions under which an additive noise causal model with outcome-dependent selection is to a large extent identifiable. We also propose two methods for estimating an additive noise model from data that are generated with outcome-dependent selection. (shrink)

Resumen: Este artículo busca observar las diferencias entre el modelo sistémico funcional y el modelo pragmático-formal en su comprensión de la experticia científica y su rol en las sociedades modernas. Se elaborará un breve diagnóstico acerca de la importancia de la confianza en experticia científica en la sociedad contemporánea y cómo este proceso ha sido analizado. Luego, se analizará la descripción del conocimiento científico en la sociedad contemporánea desde el modelo sistémico funcional. Utilizando los conceptos de diferenciación funcional y acoplamiento (...) estructural, se sugerirá que, desde este modelo, el conocimiento científico es una forma de comunicación especializada propia de un sistema funcional de la sociedad. A continuación, se describirá la aproximación del modelo pragmático formal. Especial importancia tienen aquí las ideas de mundo de la vida y esfera pública. Sobre la base de estas caracterizaciones, se comparan las visiones de estos autores y se analizan las diferencias en su conceptualización de la experticia. Se argumenta que las diferencias de estos dos modelos en relación con el estatus ontológico del mundo de la vida marcan sus visiones de la experticia y los debates actuales acerca de sus posibilidades de convertibilidad en la literatura especializada. El artículo finaliza con un resumen y posibles líneas futuras de investigación.: This article seeks to observe the differences between the functional-systemic model and the pragmatic-formal model in their understanding of scientific expertise and its role in modern societies. First, a brief diagnosis about the importance of trust in scientific expertise in contemporary society and how this process has been analyzed in the specialized literature will be made. Then, the description of scientific knowledge will be analyzed from the point of view of the functional systemic model. Using the concepts of functional differentiation and structural coupling, it will be argued that scientific knowledge is here considered a specialized form of communication characteristic of a functional system. Next, the approximation of the formal-pragmatic model is described. Of special importance here are the ideas of lifeworld and public sphere. On the basis of these characterizations, the visions of these authors are compared and the differences are analyzed in relation to their conceptualization of expertise. It is then suggested that the differences between these two models in relation to the ontological status of the lifeworld shape their views of scientific expertise as well as current debates on this topic. The article ends with a summary and possible future line of research. (shrink)

We separate metaphysical from epistemic questions in the evaluation of models, taking into account the distinctive functions of models as opposed to theories. The examples a\are very varied.

This book explains the relationship between intelligence and environmental complexity, and in so doing links philosophy of mind to more general issues about the relations between organisms and environments, and to the general pattern of 'externalist' explanations. The author provides a biological approach to the investigation of mind and cognition in nature. In particular he explores the idea that the function of cognition is to enable agents to deal with environmental complexity. The history of the idea in the work of (...) Dewey and Spencer is considered, as is the impact of recent evolutionary theory on our understanding of the place of mind in nature. (shrink)

The functions of new metaphors in early tantric Buddhism are analysed in the paper. Two models of religious practice are concerned. According to both of them, the goal of tantric practice is permanent modification of the practitioner’s cognitive activity. That modification can be understood as willingness to implement particular metaphors spontaneously into the process of perceptive data interpretation. Those metaphorical concepts are closely related to the conception of Buddha nature. Religious practice of Vajrayâna can be seen as striving (...) for experiential substantiation for the main of those metaphors (mind is mandala). Special act of visualization in ritual context is expected to be such substantiation. Six types of metaphors important in the soteriology of the early Vajrayâna can be distinguished. All of them are discussed in the paper. (shrink)

This article offers a general definition of self-knowledge that embraces all forms and levels of self-knowledge in animals and humans. It is hypothesized that various levels of self-knowledge constitute an ordinal scale such that each species in a lineage displays the forms of self-knowledge found in related species as well as new forms it and its sister species may have evolved. Likewise, it is hypothesized that these various forms of levels of self-knowledge develop in the sequence in which they evolved. (...) Finally, a general hypothesis for the functional significance of self-knowledge is proposed along with subhypotheses regarding the adaptive significance of various levels of self-knowledge in mammals including human and nonhuman primates. The general hypothesis is that self-knowledge serves as a standard for assessing the qualities of conspecifics compared to those of the self. Such assessment is crucial to deciding among alternative reproductive and subsistence strategies. The qualities that are assessed, which vary across taxa, range from the size and strength of the self to its mathematical or musical abilities. This so-called assessment model of self-knowledge is based on evolutionary biological models for social selection and the role of assessment in animal communication. (shrink)

Background: The rapid pace of progress in medical research, the consequent need for the timely transfer of new knowledge into practice, and the increasing need for ethics support, is making the work of Ethics Committees (ECs) ever more complex and demanding. As a response, ECs in many countries exhibit large variation in number, mandate, organization and member competences. This cross-sectional study aims to give an overview of the different types of activities of Italian ECs and favour discussion at a European (...) level.Methods: A questionnaire was emailed to all Italian Ethics Committees contained in the national Registry of the Ministry of Health, enquiring whether the EC was conducting, or planning to conduct, 4 specific activities. A telephone interview was conducted to determine reasons for failure to respond.Results: Response rate was 53% (101 respondents out of 191). 20% of ECs restrict their responsibilities to research protocol review, 25% also offer ethical consultation to institutions, support on individual health care decisions and promotes educational initiatives, while the remaining 50% conduct a few of the examined activities to varying degrees. Large variation was observed across different types of hosting institutions and geographical locations.Conclusions: A common European model should be developed, defining EC functions, member selection modalities, necessary member competences, decision-making criteria and measures for work verification. In the absence of sound empirical evidence, it would be interesting to study the effectiveness and efficiency of the different existing models. (shrink)

The focus of this paper is to discuss the semiotic aspects of our findings from a project we conducted in the frame of Emotional Text Analysis paradigm. In the project, we intended to create a computer text classifier capable of effectively classifying texts into emotional categories. We agreed that we would need discrete data samples to input into it. For this, we asked 178 informants to give a verdict on the dominant emotion of 48 sample texts. Prior to their assessment (...) of the texts, the informants responded to a questionnaire used to estimate their empathic tendency. A detailed analysis of the informants’ assessments and personal empathetic tendency scores showed a positive correlation. Subsequently, our interest was piqued by the issue of how emotions could be triggered by conventional signs. Our findings seem to suggest that words are only used as an expression form insofar as they embody another type of semiotic complexity, thus diverging from the traditional Pearcian triad. In order to develop on these findings, it is therefore the main objective of this paper to provide a biosemiotic model of representation/interpretation of emotions, with particular attention paid to the eliciting of emotions as sign types. In this endeavour, we draw upon K. Kull’s concept of emonic semiotic model realization. Our suggestion is that, when one processes a text that elicits an emotional response, two semiotic facets are relevant: indexicality and emonicity. We argue that it is a main empathetic function to enforce the emonic model of semiosis over the indexical in situations where the interpreter has a choice between the two. As such, the hypothesis of the study is that emotions facilitate a particular type of semiotic mechanism, relying on the mimesis principle. (shrink)

I. The function of models in the empirical sciencesII. Structure and purpose: conditions of a structural nature which models should satisfy in order to accomplish their function.III. Generalisation and specialisation of the classical definition of model, in view of the above requirements:the algebraic model conceptthe semantic model conceptthe syntactical model conceptIV. Attempt towards reunification: the concept of model on a pragmatic basis.

The short paper introduces the concept of possible branches of double-stranded DNA (later sometimes called palindromes): Certain sequences of nucleotides may be followed, after a short unpaired stretch, by a complementary sequence in reversed order, such that each DNA strand can fold back on itself, and the DNA assumes a cruciform or tree-like structure. This is postulated to interact with regulatory proteins. -/- .

Among the many functions of models, explanation is central to the functioning and aims of science. However, the discussions surrounding modeling and explanation in philosophy have largely remained separate from each other. This chapter seeks to bridge the gap by focusing on the puzzle of model-based explanation, asking how different philosophical accounts answer the following question: if idealizations and fictions introduce falsehoods into models, how can idealized and fictional models provide true explanations? The chapter provides a (...) selective and critical overview of the available strategies for solving this puzzle, mainly focusing on idealized models and how they explain. (shrink)

The assessment of models in an experiment depends on their material nature and their function in the experiment. Models that are used to make the phenomenon under investigation visible - sensors - are assessed by calibration. However, calibration strategies assume material intervention. The experiment discssed in this paper is an experiment in economics to measure the influence of technology shocks on business cycles. It uses immaterial, mathematical instruments. It appears that calibration did not work for these kinds of (...) models, it did not provide reliable evidence for the facts of the business cycle. (shrink)

Major depression etiopathogenesis is related to a wide variety of genetics, demographic and psychosocial factors, as well as to environmental factors. The objective of this study is to analyze sociodemographic and environmental variables that are related to the prevalence of depression through correlation analysis and to develop a regression model that explains the behavior of this disease from an ecological perspective. This is an ecological, retrospective, cross-sectional study. The target population was 1,148,430 individuals over the age of 16 who were (...) registered in Aragon (Spain) during 2010, with electronic medical records in the community’s primary health care centers. The spatial unit was the Basic Health Area (BHA). The dependent variable was the diagnosis of Depression and the ecological independent variables were: Demographic variables (gender and age), population distribution, typology of the entity, population structure by sex and age, by nationality, by education, by work, by salary, by marital status, structure of the household by number of members, and state of the buildings. The results show moderate and positive correlations appear with higher rates of depression in areas having a higher femininity index, higher population density, areas with a higher unemployment rate and higher average salary. The results of the linear regression show that aging +75 and rural entities act as protective factors for depression, while urban areas and deficient buildings act as risk factors. In conclusion, the ecological methodology may be a useful tool which, together with the statistical epidemiological analysis, can help in the political decision making process. (shrink)

The theoretical rationale was the author’s Functional Model of Health, where health is construed as a function of creative coping with stress. Participants in the study were 141 patients with blood cancer treated with bone marrow transplantation at the Hematology Clinic, Jagiellonian University Collegium Medicum. Besides a standardized interview the following instruments were used: STAI by Spielberger, CISS and CHIP by Endler and Parker, and SOC-29 by Antonovsky. Health status was operationalized using 10-point self-rating scales to assess the patients’ perceived (...) health and sense of calmness, while their objective health was rated by a medical expert - hematologist. In the statistical analyses significant correlations were found between stress level and the patients’ subjective health. The following variables predicted stress intensity: anxious personality, distraction coping strategy, female sex, and sense of meaningfulness. Subjective health predictors of leukemia patients are: objective health, level of stress, by the patient’s sense of meaningfulness and focusing on negative emotions. To promote patients’ health moreover, their sense of meaningfulness in life and in being active should be supported and enhanced. (shrink)

This book focuses on the very nature and function of intuitive thought. It presents an up-to-date scientific model on how the non-conscious and intuitive thought processes work in human beings. The model is based on mainstream theorizing on intuition, as well as qualitative meta-analysis of the empirical data available in the research literature. It combines recent work in the fields of philosophy of mind, cognitive psychology and positive psychology. While systematic research in intuition is relatively new, there is an abundance (...) of positions advocating more or less imaginative ideas of what intuition is about, ranging from quantum mechanical phenomena to new age ideologies. Research in the past few decades, in particular by proponents of the dual processing theory of thought such as Daniel Kahneman and Jonathan Evans, offers powerful tools to address and evaluate the question of intuition without the need to resort to spiritual entities. Within the framework of the dual processing theory, backed up by findings in positive psychology, intuition turns out to be the capacity to carry out complex cognitive operations within a specific domain of operations familiar to the agent. (shrink)

The complex activity of the human brain makes it difficult to get a big picture of how the brain works and functions as the mind. We examine pertinent studies, as well as evolutionary and embryologic evidence to support our theoretical model consisting of separate but interactive layers of human neural activity. The most basic layer involves default mode network (DMN)activity and cardiorespiratory oscillations. We propose that these oscillations support other neural activity and cognitive processes. The second layer involves limbic (...) system activity accompanied by corresponding changes in cardiorespiratory oscillations. The third layer consists of corticothalamic processing and involves higher cortical functions including awareness, cognition,and consciousness. These layers interact to form the complex neural activity of the human brain. Examining the origins and relationships of various neural and physiologic oscillations may provide better understanding of human neurophysiology and consciousness. (shrink)

As well known, the exact sciences served Kant as a model of metaphysical cognition. There is also an opposite relation between science and metaphysics, however, namely the teleology of reason, as expressed at the end of the Critique of Pure Reason. There, Kant claims that the sciences are ultimately subordinate to the essential ends of humanity “through the mediation of a rational cognition from mere concepts”, i. e., metaphysical cognition.