Models are indispensable tools of scientific inquiry, and one of their main uses is to improve our understanding of the phenomena they represent. How do models accomplish this? And what does this tell us about the nature of understanding? While much recent work has aimed at answering these questions, philosophers' focus has been squarely on models in empirical science. I aim to show that pure mathematics also deserves a seat at the table. I begin by presenting two (...) cases: Cramér’s random model of the prime numbers and the function field model of the integers. These cases show that mathematicians, like empirical scientists, rely on unrealistic models to gain understanding of complex phenomena. They also have important implications for some much-discussed theses about scientific understanding. First, modeling practices in mathematics confirm that one can gain understanding without obtaining an explanation. Second, these cases undermine the popular thesis that unrealistic models confer understanding by imparting counterfactual knowledge. (shrink)

We examine two very different approaches to formalising real computation, commonly referred to as “Computable Analysis” and “the BSS approach”. The main models of computation underlying these approaches—bit computation and BSS, respectively—have also been put forward as appropriate foundations for scientific computing. The two frameworks offer useful computability and complexity results about problems whose underlying domain is an uncountable space. Since typically the problems dealt with in physical sciences, applied mathematics, economics, and engineering are also defined in uncountable domains, (...) it is fitting that we choose between these two approaches a foundational framework for scientific computing. However, the models are incompatible as to their results. What is more, the BSS model is highly idealised and unrealistic; yet, it is the de facto implicit model in various areas of computational mathematics, with virtually no problems for the everyday practice. This paper serves three purposes. First, we attempt to delineate what the goal of developing foundations for scientific computing exactly is. We distinguish between two very different interpretations of that goal, and on the separate basis of each one, we put forward answers about the appropriateness of each framework. Second, we provide an account of the fruitfulness and wide use of BSS, despite its unrealistic assumptions. Third, according to one of our proposed interpretations of the scope of foundations, the target domain of both models is a certain mathematical structure. In a clear sense, then, we are using idealised models to study a purely mathematical structure. The third purpose is to point out and explain this intriguing phenomenon and attempt to make connections with the typical case of idealised models of empirical domains. (shrink)

My philosophical intuitions are those of a scientific realist. In addition to being realist in its philosophical outlook, my philosophy of economics also aspires to be realistic in the sense of being descriptively adequate, or at least normatively non-utopian, about economics as a scientific discipline. The special challenge my philosophy of economics must meet is to provide a scientific realist account that is realistic of a discipline that deals with a complex subject matter and operates with highly unrealistic (...) class='Hi'>models. Unrealisticness in economic models must not constitute an obstacle to realism about those models. What follows is a selective and somewhat abstract summary of my thinking about economics, outlined from two perspectives: first historical and autobiographical, then systematic and comparative. The first angle helps understand motives and trajectories of ideas against their backgrounds in intellectual history. My story turns out to have both unique and generalizable aspects. The second approach outlines some of the key concepts and arguments as well as their interrelations in my philosophy of economics, with occasional comparisons to other views. More space will be devoted to this second perspective than to the first. (shrink)

The most common argument against the use of rational choice models outside economics is that they make unrealistic assumptions about individual behavior. We argue that whether the falsity of assumptions matters in a given model depends on which factors are explanatorily relevant. Since the explanatory factors may vary from application to application, effective criticism of economic model building should be based on model-specific arguments showing how the result really depends on the false assumptions. However, some modeling results in (...) imperialistic applications are relatively robust with respect to unrealistic assumptions. Key Words: unrealistic assumptions • economics imperialism • rational choice • as if • robustness. (shrink)

Many models in economics are very unrealistic. At the same time, economists put a lot of effort into making their models more realistic. I argue that in many cases, including the Modigliani-Miller irrelevance theorem investigated in this paper, the purpose of this process of concretization is explanatory. When evaluated in combination with their assumptions, a highly unrealistic model may well be true. The purpose of relaxing an unrealistic assumption, then, need not be to move from (...) a false model to a true one. Instead, it may be providing an explanation of some phenomenon by invoking the factor that figures in the assumption. This idea is developed in terms of the contrastive account of explanation. It is argued that economists use highly unrealistic assumptions to determine a contrast that is worth explaining. The process of concretization also motivates new explanatory questions. A high degree of explanatory power, then, may well be due to a high number of unrealistic assumptions. Thus, highly unrealistic models can be powerful explanatory engines. Key Words: concretization • explanation • explanatory power • idealization • model • Modigliani-Miller theorem • unrealistic assumption. (shrink)

The purpose of this paper is to take a critical look at some of the assumptions and theories found in economics and management and discuss their implications for the practices found in the management of business and in public management. Two sets of assumptions are of interest here. First and foremost, the assumption that economic agents are only actuated by self-interest, accompanied by assumptions about the motivating effect of pecuniary incentives and assumptions about the regulation of behaviour through rules, controls (...) and sanctions; secondly, assumptions about “scientificness” and objectivity, accompanied by demands for mathematical formalism, clear goals, quantifiable models and measurements. The assertion is that unrealistic assumptions of economics have become taken for granted and tacitly included into theories and models of management. Guiding management to behave in a fashion that apparently makes these assumptions become “true”. Cases and illustrative examples are used to show how this influences the practice of decision makers and managers. (shrink)

In this paper I will analyze John McDowell’s broad account of practical rationality and moral reasons, which he mainly puts forward in his articles “Are moral requirements hypothetical imperatives?” (1978) and “Might there be external reasons?” (1995). My main aim is to argue that from a philosophical perspective, no less than from an empirical one, McDowell’s account of practical rationality is not a realistic one. From a philosophical point of view, I will argue that his intellectualist account is not convincing; (...) and if we consider his virtue-ethical ideal of practical rationality in light of the model of human cognition, we also realize that moral behavior is not immune to cognitive biases and does not always flow from robust traits of character like virtues. At the same time, this puts at stake his strong thesis of moral autonomy – the idea that with the ‘onset of reason’ moral beings are no longer determined by ‘first nature’ features. (shrink)

Purpose Recent research has found unrealistic optimism among patient-subjects in early-phase oncology trials. Our aim was to investigate the cognitive and motivational factors that evoke this bias in this context. We expected perceptions of control to be a strong correlate of unrealistic optimism. Methods A study of patient-subjects enrolled in early-phase oncology trials was conducted at two sites in the USA. Respondents completed questionnaires designed to assess unrealistic optimism and several risk attribute variables that have been found (...) to evoke the bias in other contexts. Results One hundred and seventy-one patient-subjects agreed to be interviewed for our study. Significant levels of perceived controllability were found with respect to all nine research-related questions. Perceptions of control were found to predict unrealistic optimism. Two other risk attribute variables, awareness of indicators and mental image, were correlated with unrealistic optimism. However, in multivariate regression analysis, awareness and mental image dropped out of the model and perceived controllability was the only factor independently associated with unrealistic optimism. Conclusion Patient-subjects reported that they can, at least partially, control the benefits they receive from participating in an early-phase oncology trial. This sense of control may underlie unrealistic optimism about benefiting personally from trial participation. Effective interventions to counteract unrealistic optimism may need to address the psychological factors that give rise to distorted risk/benefit processing. (shrink)

Mark Blaug’s normative methodology of economics is an attempt to articulate certain intuitions about how economic science could be improved by making it more “realistic”. I discuss two such articulations, one in terms of falsificationist principles, the other in terms of an alleged trade-off between relevance and mathematical rigour. My conclusion is that Blaug’s methodology is itself unrealistic, both descriptively and normatively. His (well intended) methodological prescriptions for the improvement of economics are not based on a systematic, consistent, descriptively (...) adequate, and normatively viable account. I suggest that Blaug’s intuitions can be developed into a more realistic account by incorporating the analysis of two further topics: economic modelling and the institutions of academic research. (shrink)

Leading animal models are powerful tools for translational research, but they also present obstacles. Poorly conducted preclinical research in animals is a common cause of translational failure, but even when such research is well-designed and carefully executed, challenges remain. In particular, dominant models may bias research directions, elide essential aspects of human disease, omit important context, or subtly shift research targets. Recognizing these stumbling blocks can help us find ways to avoid them: employing a wider range of (...) class='Hi'>models, incorporating more realistic environmental conditions, better aligning studies between animals and patients, and focusing on human biology and therapeutic goals. Such changes are costly; but insisting it would be impractical or unrealistic to change strategies offers no way out of the current impasse. Rather, we must acknowledge the obstacles as well as the advantages presented by core models, and direct some of our investments in translational research toward getting around them. The dominance of biomedical research by a handful of animal models introduces subtle but significant obstacles to translation. Recognizing these obstacles is a critical first step toward finding ways around them; this paper describes how dominant models can create roadblocks, and suggests strategies to improve the efficiency of translation from animal models to humans. (shrink)

A good many models used in physics and economics offer descriptions of imaginary situations, using a combination of mathematics and natural language. The descriptions are both thin - not much about the situation is filled in - and unrealistic - what is filled in is not true of many real situations. Yet we want to use the results of these models to inform our conclusions about a range of actually occurring situations. I propose we interpret many of (...) these models as fables. The actual happenings in the model are only one concrete instantiation of a lesson that is more widely applicable ‘when expressed in more abstract language.' A fable generally comes with the abstract lesson attached; parables, by contrast, usually require an interpretation from outside. Models, then, tend to be more like parables than fables. The right abstract interpretation is not supplied by the model itself. The central problem, then, is where shall it come from? (shrink)

A good many models used in physics and economics offer descriptions of imaginary situations, using a combination of mathematics and natural language. The descriptions are both thin - not much about the situation is filled in - and unrealistic - what is filled in is not true of many real situations. Yet we want to use the results of these models to inform our conclusions about a range of actually occurring situations. I propose we interpret many of (...) these models as fables. The actual happenings in the model are only one concrete instantiation of a lesson that is more widely applicable ‘when expressed in more abstract language.' A fable generally comes with the abstract lesson attached; parables, by contrast, usually require an interpretation from outside. Models, then, tend to be more like parables than fables. The right abstract interpretation is not supplied by the model itself. The central problem, then, is where shall it come from? (shrink)

Under the independence and competence assumptions of Condorcet’s classical jury model, the probability of a correct majority decision converges to certainty as the jury size increases, a seemingly unrealistic result. Using Bayesian networks, we argue that the model’s independence assumption requires that the state of the world (guilty or not guilty) is the latest common cause of all jurors’ votes. But often – arguably in all courtroom cases and in many expert panels – the latest such common cause is (...) a shared ‘body of evidence’ observed by the jurors. In the corresponding Bayesian network, the votes are direct descendants not of the state of the world, but of the body of evidence, which in turn is a direct descendant of the state of the world. We develop a model of jury decisions based on this Bayesian network. Our model permits the possibility of misleading evidence, even for a maximally competent observer, which cannot easily be accommodated in the classical model. We prove that (i) the probability of a correct majority verdict converges to the probability that the body of evidence is not misleading, a value typically below 1; (ii) depending on the required threshold of ‘no reasonable doubt’, it may be impossible, even in an arbitrarily large jury, to establish guilt of a defendant ‘beyond any reasonable doubt’. (shrink)

Recurrent neural network has been widely applied to many sequential tagging tasks such as natural language process and time series analysis, and it has been proved that RNN works well in those areas. In this paper, we propose using RNN with long short-term memory units for server load and performance prediction. Classical methods for performance prediction focus on building relation between performance and time domain, which makes a lot of unrealistic hypotheses. Our model is built based on events, which (...) is the root cause of server performance. We predict the performance of the servers using RNN-LSTM by analyzing the log of servers in data center which contains user’s access sequence. Previous work for workload prediction could not generate detailed simulated workload, which is useful in testing the working condition of servers. Our method provides a new way to reproduce user request sequence to solve this problem by using RNN-LSTM. Experiment result shows that our models get a good performance in generating load and predicting performance on the data set which has been logged in online service. We did experiments with nginx web server and mysql database server, and our methods can been easily applied to other servers in data center. (shrink)

The network approach to psychopathology is becoming increasingly popular. The motivation for this approach is to provide a replacement for the problematic common cause perspective and the associated latent variable model, where symptoms are taken to be mere effects of a common cause (the disorder itself). The idea is that the latent variable model is plausible for medical diseases, but unrealistic for mental disorders, which should rather be conceptualized as networks of directly interacting symptoms. We argue that this rationale (...) for the network approach is misguided. Latent variable (or common cause) models are not inherently problematic, and there is not even a clear boundary where network models end and latent variable (or common cause) models begin. We also argue that focusing on this contrast has led to an unrealistic view of testing and finding support for the network approach, as well as an oversimplified picture of the relationship between medical diseases and mental disorders. As an alternative, we point out more essential contrasts, such as the contrast between dynamic and static modeling approaches, that can provide a better framework for conceptualizing mental disorders. Finally, we discuss several topics and open problems that need to be addressed in order to make the network approach more concrete and to move the field of psychological network research forward. (shrink)

Chapter 5 is an essay on the methodology of equilibrium theory. In the course of examining recent controversies concerning lawlike claims and "assumptions" in economic theory, I reach a position similar to J. S. Mill's. Neo-classical economics is what Mill would call "a separate science." It follows a deductive method, since its basic laws supported by everyday experience. In its general equilibrium formulation, equilibrium theory possesses, however, no explanatory worth and very little explanatory importance, since its idealizations are not legitimate. (...) General equilibrium theory ought fundamentally to be regarded as an explanation of how economic equilibrium is possible. ;In conclusion I argue that Sraffa's contribution is a legitimate form of economic theorizing. Those methodological views, like Lionel Robbins', which would proscribe the sort of piecemeal theorizing Sraffa exemplifies, are, as methodological strictures, unjustified. In fact they involve an ideological distortion. Given the weaknesses in general equilibrium theory identified in Chapters 3 and 5, one has good reason to be eclectic. The Austrian theory, despite the Cambridge criticisms, may be useful in some investigations. A much more segmented economics built around Sraffa's work may have a great deal to teach us. Theories of capital, interest and exchange value currently are underdeveloped, unsupported, and subject to ideological influence. ;In Chapter 3 one special formulation of intertemporal general equilibrium theory is examined. I argue that general equilibrium theory may be taken as a theory of the rate of interest to which the Cambridge criticisms do not apply. Puzzles remain, however, concerning both the apparently lawlike claims and the unrealistic stipulations concerning background conditions that general equilibrium theory makes. ;In Chapter 4 Sraffa's system in The Production of Commodities by Means of Commodities is presented and tentatively assessed. I argue that it is consistent with equilibrium theory, but may be combined with other claims that are not consistent with equilibrium theory. What is puzzling but, I argue, methodologically legitimate in Sraffa's work is that he takes as givens factors like the composition of output, that are themselves subject to further economic analysis. Sraffa's work, when properly understood, can prove valuable to Marxian economists. ;Chapter 1 establishes a contrast between physical cost and marginal utility theories of exchange value and examines why issues concerning capital and interest are theoretically central to both theories. I point out that physical cost theories of value are not tenable. ;Chapter 2 is concerned with simplified aggregate capital theories, especially Wicksell's Austrian theory of capital, and with the Cambridge criticisms of such theories. The Cambridge criticisms show, I conclude, that aggregative capital theories make unwarranted economic claims. ;This dissertation examines from both an economic and a philosophical perspective controversies concerning the theory of capital and interest and the relationship of capital and interest to exchange value. The fundamentals of the neo-classical and neo-Ricardian approaches to economic theory are made explicit and compared. The neo-Ricardian approach is partially defended. (shrink)

I give a defense of the Massive Modularity hypothesis: the view that the mind is composed of discrete, encapsulated, informationally isolated computational structures dedicated to particular problem domains. This view contrasts with Psychological Rationalism: the view that mental structures take the form of unencapsulated representational items, all available as inputs to one domain-general computational processor. I argue that although Psychological Rationalism is in principle able to overcome the `intractability objection', the view must borrow many features of a massively modular architecture (...) in order to do so, that although it can, in principle, overcome the `optimality objection', the way it does so does not correlate with the way we think, and that although it can, in principle, respond to the `argument from biology', it cannot do so without advancing an unrealistic and unsupported account of cognitive evolution. (shrink)

This paper argues that even when simple analogue models picture parallel worlds, they generally still serve as isolating tools. But there are serious obstacles that often stop them isolating in just the right way. These are obstacles that face any model that functions as a thought-experiment but they are especially pressing for economic models because of the paucity of economic principles. Because of the paucity of basic principles, economic models are rich in structural assumptions. Without these no (...) interesting conclusions can be drawn. This, however, makes trouble when it comes to exporting conclusions from the model to the world. One uncontroversial constraint on induction from special cases is to beware of extending conclusions to situations that we know are different in relevant respects. In the case of economic models it is clear by inspection that the unrealistic structural assumptions of the model are intensely relevant to the conclusion. Any inductive leap to a real situation seems a bad bet. (shrink)

There is a striking contrast between the significance of Harold Hotelling’s contribution to industrial economics and the fact that his location model was invalid, unrealistic and non-robust. It is difficult to make sense of the explanatory value of Hotelling’s model based on philosophical accounts that emphasize logical validity, representational adequacy, and robustness as determinants of explanatory value. However, these accounts are misleading because they overlook the context within which the explanatory value added of a model is apprehensible. We present (...) Hotelling’s model in its historical context and show why it is an important and explanatory model despite its apparent deficiencies. (shrink)

Ecological neutral theory has been controversial as an alternative to niche theory for explaining community structure. Neutral theory, which explains community structure in terms of ecological drift, is frequently charged with being unrealistic, but commentators have usually not provided an account of theory or model realism. In this paper, I propose a framework for comparing the “realism” or accuracy of alternative theories within a domain with respect to the extent to which the theories abstract and idealize. Using this framework (...) I argue, contrary to most previous commentators, that neutral and niche theories are similarly realistic. Realism cannot provide a basis for accepting or rejecting either type of theory; instead, community ecologists should continue working with a plurality of models. While theoretical unification may become possible, we should treat a plurality of complementary, partial models as the expected situation within community ecology. (shrink)

This paper provides a conceptual framework that allows for distinguishing between different kinds of generalisation and applicability. It is argued that generalising models may bring epistemic benefits. They do so if they show that restrictive and unrealistic assumptions do not threaten the credibility of results derived from models. There are two different notions of applicability, generic and specific, which give rise to three different kinds of generalizations. Only generalising a result brings epistemic benefits concerning the truth of (...) model components or results. Abstracting the model and applying the model into new systems are not intrinsically epistemically beneficial in this way. The Dixit-Stiglitz model of monopolistic competition is used as an illustration. (shrink)

Young children spend a large portion of their time pretending about non-real situations. Why? We answer this question by using the framework of Bayesian causal models to argue that pretending and counterfactual reasoning engage the same component cognitive abilities: disengaging with current reality, making inferences about an alternative representation of reality, and keeping this representation separate from reality. In turn, according to causal models accounts, counterfactual reasoning is a crucial tool that children need to plan for the future (...) and learn about the world. Both planning with causal models and learning about them require the ability to create false premises and generate conclusions from these premises. We argue that pretending allows children to practice these important cognitive skills. We also consider the prevalence of unrealistic scenarios in children's play and explain how they can be useful in learning, despite appearances to the contrary. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Adolph Meyer’s Psychobiology in Historical Context, and Its Relationship to George Engel’s Biopsychosocial ModelEdwin R. Wallace IV (bio)Keywordspsychobiology, integrative models of psychiatry, biopsychosocial modelBefore addressing the importance of Adolf Meyer and the question of his impact on the biopsychosocial model of the psychoanalytical internist George Engel, let us tersely sketch the history of functionalism in medicine/psychiatry, and of the nineteenth/early twentieth century’s progressive abandonment of it in favor (...) of basic science reductive models of “disease,” not illness.FunctionalismWhereas Hippocratic physicians diagnosed diatheses in terms of humoral excesses or deficiencies, their primary emphasis was on the ill person. They began with careful histories of the patient’s complaints and his or her daily life course, customary activities, typical foods and beverages imbibed, and the exacerbation or relief of symptoms associated with any or all of these. They also asked questions about his physical and social environment. They carefully looked for any clinically pertinent signs, and might physically examine the patient or his excretions. When they arrived at a diagnosis (say, an excess of yellow or black bile, or of blood or phlegm), they would educate the patient about it and discuss possible approaches. Although leeching, emetics, or purgatives might be prescribed, “dietetics” was the core of the treatment. Much more than recommendations about dietary intake, this involved conversations about “lifestyle” management in general: exercise, fresh air, habit changes, and perhaps bathing in mineral waters or spas. If the patient were “melancholic” (which then included what we would now consider a variety of psychiatric disorders), he or she might be prescribed daily swimming and other forms of vigorous exercise, conversations with a philosopher, [End Page 347] attendance at theatrical comedies, or even referral to an Asklepian temple for “incubation sleep” and priestly dream interpretation. Often doctors worked closely with physical trainers, to whom they sent their patients. In short, their orientation was holistic (“mind”/”body” integration), directed first and foremost toward an individual ill person.In the second century, C.E. Galen, despite his humoral and anatomical pathologies, was similarly holistic or functionalist. He resorted to a variety of physical examinational methods while also attending to the patient’s mental/emotional status. He described one case where he was attending a woman for syncopal episodes. His examinations of her included his customary attention to the pulse. During one evening session, a servant entered and happened to mention that he had just seen the handsome Pylades dancing. Suddenly her pulse became irregular and she fainted straight away. This led Galen to consider love sickness, and perhaps not humoral or organ pathology. He tested his hypothesis during subsequent visits. Whenever another dancer or actor was mentioned, her pulse remained regular and her sensorium alert, but when Pylades was mentioned the irregular pulse and fainting recurred. Because she was married, Galen realized her insoluble conflict, and treated her accordingly.From the fall of Rome until the rise of University Medicine in the later Middle Ages, medical lore and doctoring was in monastic hands—each monastery had its clerical medic, who might also attend outsiders. They were attuned to the traditional triad of major mental disorders—mania, melancholia, and phrenitis—which they explained somatically. However, they also encountered lesser mental/emotional disorders for which they developed their own nosology. “Scrupulosity,” for example, characterized a committed monk with an unrealistic sense of sinfulness and guilt—which often drove him to self-mortification such as flagellation, hair shirts with chains underneath, and so forth, for which the remedy was kindly pastoral counseling. “Accedia” was akin to our “dysthymia,” whose sufferer was affected by sadness, lassitude, and impaired capacity to carry out the monastic routine. This was viewed as straddling the boundary between sickness and sin. Routine physical labor (“occupational therapy”) and prayers, confession, penance, and “pep talks” were prescribed.When universities with medical schools arose in the latter Middle Ages, students’ educations were mostly bookish and theoretical. Hippocratic and Galenic somatic orientations were still preeminent. (Vesalius would not publish his illustrated anatomical text until 1543.) Dietetics and purgatives, bloodletting, and so on were still favored treatments. Nevertheless, doctors gave considerable time and attention to their patients as ill... (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Foundations For Flow:A Philosophical Model For Studio InstructionKrista RiggsThe need for a new approach to studio instruction becomes evident when the current state of the profession and the effects of typical teaching methods are considered. In a profession with relatively little demand for a large supply of candidates for professional employment, realistically very few undergraduate music performance majors will achieve success as either orchestral players or as soloists. Extreme (...) competitiveness and the political hierarchy common in a typical music studio setting can squelch creativity and hinder a student's possibility to attain optimal experience in performance. Such an environment can pose a threat to a student's self-image and motivation, possibly becoming detrimental to the success of the student in any chosen occupation, whether ultimately within music or outside the profession.1As Roland Persson notes, studio teachers are generally hired primarily for their performance accomplishments and place in the historic lineage of their instrument's pedagogy without much regard for previous training in educational theories.2 With a lack of training in instructional methods or developmental theories, college music teachers tend to conduct lessons in the manner in which they were taught. Thus, little attention may be paid to individual differences or developmental issues.3 Studio instruction has also traditionally been approached [End Page 175] in a maestro-like, authoritarian manner with one-directional commands given as law from master teacher to seemingly subordinate students. Such a manner of teaching may contradict the tendency of creative individuals to show more deviant traits of critical and independent thought, possibly hindering the student's potential for artistic growth.4Many music students tend to gain much of their concept of self-worth based on how they perceive their musical ability to be assessed by their studio instructor.5 A dependency for approval can lead to the pursuit of unachievable perfection that can be detrimental to the emotional development and self-confidence of the student.6 A common focus on a final product in instruction rather than on the creative process of personal and artistic growth can also contribute to the detrimental setting of unrealistic goals and resulting lack of self-esteem in the student. Evaluation of artistically, intellectually, and emotionally developing students against an unattainable perceived aesthetic ideal or in comparison to other students of differing strengths and levels of development can hinder motivation while increasing anxiety, extreme competition, and negative emotional response in the learning experience.7 In a more personalized curriculum that centers on individual strengths and weaknesses through a mentoring approach, each student may be guided to develop the intellectual, emotional, physical, and spiritual faculties leading to optimal experience. From creative flow and the peak experiences of self-actualization comes intrinsic motivation for students to pursue creativity as a way of life, with further motivation to find moments for artistic expression and personal satisfaction in all aspects of their being.8A new model concerned with the development of the "whole" student as an individual can serve as a philosophical supplement to studio instructors who may not have received much training in developmental issues, educational theories, or related facets of the psychology of learning and performance. Although each aspect of the model can be considered separately, the potential of guiding a student toward the attainment of optimal experience is increased when all aspects are considered according to strengths and weaknesses present in the individual student. Incorporating the theories and ideas in studio instruction may help enhance a student's artistic and personal development while also strengthening a healthy mentoring relationship between teacher and student. While the model presents aspects of psychology alongside developmental and educational theories, the focus remains as a philosophical synthesis of diverse ideas into a unified system with flow at the center. Rather than aiming to deconstruct or refute opposing theories, the model synthesizes supporting ideas. As Estelle Jorgensen notes, the purpose of a synthesis-oriented or "synoptic" model is not so much to argue or refute contrasting views as it is to build upon the supporting theories and ideas of other writers. The "body of thought" serves an explanatory purpose [End Page 176] of the "clarification of terms and exposition... (shrink)

Richard Bradley’s Bayesian model of preference kinematics is compared with Sven Ove Hansson’s AGM-style model of preference revision. Both seek to model the revision of preference orders as a consequence of retaining consistency when some preferences change. Both models are often interpreted normatively, as giving advice on how an agent should revise her preferences. I raise four criticisms of the Bayesian model: it is unrealistic; it neglects an important change mechanism; it disregards endogenous information relevant to preference change, (...) in particular about similarity and incompleteness; and its representational framework, when expanded with similarity comparisons, may give misleading advice. These criticisms are based on a principle of conservatism, and on two proposals of similarity metrics for the Bayesian model. The performance of the Bayesian model, with and without the similarity metrics, is then tested in three different cases of preference change, and compared to the performance of the AGM model. (shrink)

As they are conventionally formulated, Boolean games assume that players make their choices in ignorance of the choices being made by other players – they are games of simultaneous moves. For many settings, this is clearly unrealistic. In this paper, we show how Boolean games can be enriched by dependency graphs which explicitly represent the informational dependencies between variables in a game. More precisely, dependency graphs play two roles. First, when we say that variable x depends on variable y, (...) then we mean that when a strategy assigns a value to variable x, it can be informed by the value that has been assigned to y. Second, and as a consequence of the first property, they capture a richer and more plausible model of concurrency than the simultaneous-action model implicit in conventional Boolean games. Dependency graphs implicitly define a partial ordering of the run-time events in a game: if x is dependent on y, then the assignment of a value to y must precede the assignment of a value to x; if x and y are independent, however, then we can say nothing about the ordering of assignments to these variables—the assignments may occur concurrently. We refer to Boolean games with dependency graphs as partial-order Boolean games. After motivating and presenting the partial-order Boolean games model, we explore its properties. We show that while some problems associated with our new games have the same complexity as in conventional Boolean games, for others the complexity blows up dramatically. We also show that the concurrency in partial-order Boolean games can be modelled using a closure-operator semantics, and conclude by considering the relationship of our model to Independence-Friendly logic. (shrink)

No names are more closely associated with modern trade theory than Eli Heckscher and Bertil Ohlin. The basic Heckscher-Ohlin proposition, according to which a country exports factors in abundant supply and imports factors in scarce supply, is a key component of modern trade theory. In this book, Robert Baldwin traces the development of the HO model, describing the historical twists and turns that have led to the basic modern theoretical model in use today. Baldwin not only presents a clear and (...) cohesive view of the model's evolution but also reviews the results of empirical tests its various versions. Baldwin, who published his first theoretical article on the HO model in 1948, first surveys the development of the HO model and then assesses empirical tests of its predictions. Most discussions of empirical work on HO models confine themselves to the basic theorem, but Baldwin devotes a chapter to empirical tests of three related propositions: the Stolper-Samuelson theorem; the Rybczynski theorem; and the factor price equalization theorem. He concludes that the formulation and testing of these later models have improved economists' understanding of the forces shaping international trade, but that many empirical trade economists were so enamored of the elegant but highly unrealistic factor price equalization models developed from the insights of Heckscher and Ohlin that they have neglected investigation of other models without this relationship. (shrink)

In the post-colonial era, the incarnation has become an important model for cross-cultural missionary presence. Though this model improves on Eurocentric and colonial models, it is deficient because it is unrealistic, potentially paternalistic, inappropriate in the light of globalization and post-modern understandings of culture, and because it doesn’t sufficiently respect the particularity of the incarnation of Christ. This article proposes an alternative model of the role of the cross-cultural missionary as a guest and argues that it is more (...) appropriate on precisely these counts. (shrink)

The so-called Ricardian trade model of contemporary economic textbooks is not a rational reconstruction of Ricardo's famous numerical example in chapter seven of the Principles. It differs from the latter in terms of the definition of the four numbers, relevant cost comparison, rule for specialisation, assumptions and theoretical implications. Thus, the widespread critique regarding the unrealistic assumptions of the textbook trade model does not apply to Ricardo's original proof of comparative advantage.

Economics is a controversial scientific discipline. One of the traditional issues that has kept economists and their critics busy is about whether economic theories and models are about anything real at all. The critics have argued that economic models are based on assumptions that are so utterly unrealistic that those models become purely fictional and have nothing informative to say about the real world. Many also claim that an antirealist instrumentalism (allegedly outlined by Milton Friedman in (...) 1953) justifying such unrealistic models has become established as the semi-official practitioners' philosophy of conventional economics. Others argue that what is the case in the economy and the way economics relates to it are socially constructed such that there is no economics-independent way the world worls or truths about it. On both of these pictures, realism would seem to have little do with economics. These pictures are too simplistic. There is more realism in and about economics than first would appear. To see this requires not just looking mere closely, but also adjusting one's conception of scientific realism. It also requires taking a critical stance on much of what economicsts themselves and other commentators have claimed. Yet, historically, there is much wisdom available in the philosophical self-image of the discipline. (shrink)

Traditional accounts of explanation fail to illuminate the explanatory relevance of “models that are descriptively false” in the sense that the regularities they entail fail to obtain. In this paper, I propose an account of explanation, which I call ‘explanation by concretization’, that serves to explicate the explanatory relevance of such models. Starting from a highly abstract and idealized model, causal explanations of the absence of regularities are sought by adding complexity to the model or by concretizing it. (...) Whether this process is successful depends on whether the abstractions and idealizations in the basic model succeed in isolating a mechanism, i.e. in representing how it operates when interfering factors are absent. This account is developed in the context of economics and contrasted to those of Daniel Hausman and Nancy Cartwright. I go on to provide an account of how unrealistic models can be used for providing understanding of the way mechanisms work. (shrink)

I distinguish several doctrines that economic methodologists have found attractive, all of which have a positivist flavour. One of these is the doctrine that preference assignments in economics are just shorthand descriptions of agents' choice behaviour. Although most of these doctrines are problematic, the latter doctrine about preference assignments is a respectable one, I argue. It doesn't entail any of the problematic doctrines, and indeed it is warranted independently of them.

Probabilistic models of sentence comprehension are increasingly relevant to questions concerning human language processing. However, such models are often limited to syntactic factors. This restriction is unrealistic in light of experimental results suggesting interactions between syntax and other forms of linguistic information in human sentence processing. To address this limitation, this article introduces two sentence processing models that augment a syntactic component with information about discourse co-reference. The novel combination of probabilistic syntactic components with co-reference classifiers (...) permits them to more closely mimic human behavior than existing models. The first model uses a deep model of linguistics, based in part on probabilistic logic, allowing it to make qualitative predictions on experimental data; the second model uses shallow processing to make quantitative predictions on a broad-coverage reading-time corpus. (shrink)

Optimization models treat natural selection as a process tending to produce maximal adaptedness to the environment, measured on some "criterion scale" defining the optimal phenotype. These models are descriptively adequate if they describe the outcomes of evolutionary processes. They are dynamically adequate if the variables which describe the outcomes also are responsible for those evolutionary outcomes. Optimality models can be descriptively adequate, but dynamically unrealistic. Relying on cases from evolutionary ecology, I provide reasons to question the (...) dynamic adequacy of optimality models, and offer reasons for distinguishing, at least at a theoretical level, between satisficing and optimizing. (shrink)

Computational models of legal precedent-based reasoning developed in AI and Law are typically based on the simplifying assumption that the background set of precedent cases is consistent. Besides being unrealistic in the legal domain, this assumption is problematic for recent promising applications of these models to the development of explainable AI methods. In this paper I explore a model of legal precedent-based reasoning that, unlike existing models, does not rely on the assumption that the background set (...) of precedent cases is consistent. The model is a generalization of the reason model of precedential constraint. I first show that the model supports an interesting deontic logic, where consistent obligations can be derived from inconsistent case bases. I then provide an explanation of this surprising result by proposing a reformulation of the model in terms of cases that support a new potential decision and cases that conflict with it. Finally, I show that the reformulation of the model allows us to verify that inconsistent case bases do not make verification that a decision is permissible substantially more complex than consistent case bases and to introduce intuitive criteria to compare different permissible decisions. (shrink)

Recent work in cognitive modelling has found that most of the data that has been cited as evidence for the dual-process theory (DPT) of reasoning is best explained by non-linear, “monotonic” one-process models (Stephens et al., 2018, 2019). In this paper, I consider an important caveat of this research: it uses models that are committed to unrealistic assumptions about how effectively task conditions can isolate Type-1 and Type-2 reasoning. To avoid this caveat, I develop a coordinated theoretical, (...) experimental, and modelling strategy to better test DPT. First, I propose that Type-1 and Type-2 reasoning are defined as reasoning that precedes and follows metacognitive control, respectively. Second, I argue that reasoning that precedes and follows metacognitive control can be effectively isolated using debiasing paradigms that manipulate metacognitive heuristics (e.g., processing fluency) to prevent or trigger metacognitive control, respectively. Third, I argue that monotonic modelling can allow us to decisively test DPT only when we use them to analyse data from this particular kind of debiasing paradigm. (shrink)

Deliberative democracy is unrealistic, but so are rational-choice models of democracy. The elements of reality that rationalistic theories of democracy leave out are the very elements that deliberative democrats would need to subtract if their theory were to be applied to reality. The key problem is not, however, the altruistic orientation that deliberative democrats require; opinion researchers know that voters are already sociotropic, not self-interested. Rather, as Schumpeter saw, the problems lie in understanding politics, government, and economics under (...) modern—and postmodern—conditions. Modernity entails levels of complexity that stymie voters' attempts to be well informed about which political promises will actually solve social problems. Postmodernity adds to complexity an overabundance of fragmented information experienced impatiently and fleetingly by citizens who confuse entertainment with knowledge, and whose political demands are as unrealistic as their personal desire for a unique identity. These factors can be added, one by one, to the minimalist rational-choice model of politics, with each step leading us farther away from deliberative democracy. (shrink)

The Austrian School seems to remain outside the debate on the realism of economic models. In principle, given the association of the term “model” with the Chicago School, and also for understanding that Hayek had critized the model of perfect competition as unrealistic. Even though in previous opportunities we showed how the theory of market as a process could be understood as the model of the Austrian School, and that Hayek’s criticism to the model of perfect competition was (...) not so much of unrealistic, but that it was wrongly stated (Zanotti & Borella, 2015), and we developed the ontological foundation of the model in Hayek’s thought (Borella, 2019), in this paper we will show how it is posible to compare pattern predictions with models, and how in this sense, the Austrian School, also seems to get near, even without sufficiently noticing it, to the discussion on models in economics and their realism. Keywords: Realism of models- Hayek- pattern predictions-models . (shrink)

Most mathematical models used to examine the role of different stages of human immunodeficiency virus infection unrealistically assume that HIV is transmitted through one-off contacts or that transmission rates are the same between males and females. We sought to examine whether inferences from previous models are robust to the relaxation of those unrealistic assumptions. We developed a model of HIV transmissions through sexual partnerships assuming that sexual partnerships have variable duration, sexual partnerships are concurrent, and the male-to-female (...) transmission rate is higher than the female-to-male transmission rate, with a focus on the third assumption. Assuming a higher rate for male-to-female than female-to-male transmissions decreases the overall transmission of HIV but increases the equilibrium fraction of transmissions during primary HIV infection in long-term partnerships, compared to the case where transmission rates are assumed to be symmetric between males an females. Previous modeling studies that assume symmetric transmission rates between males and females may have overestimated the overall spread of HIV, but underestimated the relative contribution of PHI. To make robust inferences on the role of different stages of HIV infection in the sexual spread of HIV, models should take into account that transmission rates may be asymmetric by sex. (shrink)

It is often claimed—especially by scientific realists—that science provides understanding of the world only if its theories are (at least approximately) true descriptions of reality, in its observable as well as unobservable aspects. This paper critically examines this ‘realist thesis’ concerning understanding. A crucial problem for the realist thesis is that (as study of the history and practice of science reveals) understanding is frequently obtained via theories and models that appear to be highly unrealistic or even completely fictional. (...) So we face the dilemma of either giving up the realist thesis that understanding requires truth, or allowing for the possibility that in many if not all practical cases we do not have scientific understanding. I will argue that the first horn is preferable: the link between understanding and truth can be severed. This becomes a live option if we abandon the traditional view that scientific understanding is a special type of knowledge. While this view implies that understanding must be factive, I avoid this implication by identifying understanding with a skill rather than with knowledge. I will develop the idea that understanding phenomena consists in the ability to use a theory to generate predictions of the target system’s behavior. This implies that the crucial condition for understanding is not truth but intelligibility of the theory, where intelligibility is defined as the value that scientists attribute to the theoretical virtues that facilitate the construction of models of the phenomena. I will show, first, that my account accords with the way practicing scientists conceive of understanding, and second, that it allows for the use of idealized or fictional models and theories in achieving understanding. (shrink)

Deliberative democracy is unrealistic, but so are rational-choice models of democracy. The elements of reality that rationalistic theories of democracy leave out are the very elements that deliberative democrats would need to subtract if their theory were to be applied to reality. The key problem is not, however, the altruistic orientation that deliberative democrats require; opinion researchers know that voters are already sociotropic, not self-interested. Rather, as Schumpeter saw, the problems lie in understanding politics, government, and economics under (...) modern—and postmodern—conditions. Modernity entails levels of complexity that stymie voters' attempts to be well informed about which political promises will actually solve social problems. Postmodernity adds to complexity an overabundance of fragmented information experienced impatiently and fleetingly by citizens who confuse entertainment with knowledge, and whose political demands are as unrealistic as their personal desire for a unique identity. These factors can be added, one by one, to the minimalist rational-choice model of politics, with each step leading us farther away from deliberative democracy. (shrink)

Even outrageously unrealistic assumptions are just fine insofar as the theory or model involving them performs well in predicting phenomena of interest. Most economists and many non-economists will attribute this principle to Milton Friedman. Many will consider the principle itself outrageous, while others praise Friedman for having formulated it so persuasively.

Epistemic logic with its possible worlds semantic model is a powerful framework that allows us to represent an agent’s information not only about propositional facts, but also about her own information. Nevertheless, agents represented in this framework are logically omniscient: their information is closed under logical consequence. This property, useful in some applications, is an unrealistic idealisation in some others. Many proposals to solve this problem focus on weakening the properties of the agent’s information, but some authors have argued (...) that solutions of this kind are not completely adequate because they do not look at the heart of the matter: the actions that allow the agent to reach such omniscient state. Recent works have explored how acts of observation, inference, consideration and forgetting affect an agent’s implicit and explicit knowledge; the present work focuses on acts that affect an agent’s implicit and explicit beliefs. It starts by proposing a framework in which these two notions can be represented, and then it looks into their dynamics, first by reviewing the existing notion of belief revision, and then by introducing a rich framework for representing diverse forms of inference that involve both knowledge and beliefs. (shrink)

Feminist argumentation theorists have criticized the Dominant Adversarial Model in argumentation, according to which arguers should take proponent and opponent roles and argue against one another. The model is deficient because it creates disadvantages for feminine gendered persons in a way that causes significant epistemic and practical harms. In this paper, I argue that the problem that these critics have pointed out can be generalized: whenever an arguer is given a role in the argument the associated tasks and norms of (...) which she cannot fulfill, she is liable to suffer morally significant harms. One way to react to this problem is by requiring arguers to set up argument structures and allocate roles so that the argument will be reasons-reflective in as balanced a way as possible. However, I argue that this would create to heavy a burden. Arguers would then habitually have to take on roles that require them to divert time and energy away from the goals that they started arguing for and instead serve the goal of ideal reasons-reflectiveness. At least prima facie arguers should be able to legitimately devote their time and energy towards their own goals. This creates a problem: On the one hand, structures that create morally significant harms for some arguers should be avoided—on the other hand, arguers should be able to take argument-roles that allow them to devote themselves to their own argumentative goals. Fulfilling the second requirement for some arguers will often create the morally significant harms for their interlocutors. There are two possible solutions for this problem: first, arguers might be required to reach free, consensual agreements on the structure they will adopt for their argument and the way they will distribute argumentative roles. I reject this option as both fundamentally unfeasible and practically unrealistic, based on arguments developed by theorists like Krabbe and Jacobs. I argue that instead, we should take a liberal view on argument ethics. Arguers should abide by moral side constraints to their role taking. They should feel free to take roles that will allow them to concentrate on their argumentative goals, but only if this does not create a situation in which their interlocutors are pushed into a role that that they cannot effectively play. (shrink)

Lewis signalling games are often used to explain how it is possible for simple agents to develop systems of conventional semantic meaning. In these games, all players obtain identical payoffs in every outcome. This is an unrealistic payoff structure, but it is often employed because it is thought that semantic meaning will not emerge if interests conflict. Here it is shown that not only is conventional meaning possible when interests conflict, but it is the most likely outcome in a (...) finite population model of learning known as the Moran process. On the basis of this result it is suggested that evolutionary game theory’s standard models may yield results that are systematically distorted for a class of signalling games that have the abstract structure of social dilemmas. 1 Introduction2 The Seduction Game3 Imitation Dynamics with Small Mutations4 Dynamics with Unverifiable Message5 Analysis of a Related Three-Strategy Game6 Conclusion. (shrink)

Despite all the criticism showered on Nagel’s classic account of reduction, it meets a fundamental desideratum in an analysis of reduction that is difficult to question, namely of providing for a proper identification of the reducing theory. This is not clearly accommodated in radically different accounts. However, the same feature leads me to question Nagel’s claim that the reducing theory can be separated from the putative bridge laws, and thus to question his notion of heterogeneous reduction. A further corollary to (...) the requirement that all the necessary conditions be incorporated in an adequate formulation of the putative reducing theory is that the standard example of gas temperature is not reducible to average molecular kinetic energy. As originally conceived, Nagel’s conception of reduction takes no account of approximate reasoning and this failure has certainly restricted its applicability, perhaps to the point of making it unrealistic as a model of reduction in science. I suggest approximation can be accommodated by weakening the original requirement of deduction without jeopardizing the fundamental desideratum. Finally, I turn to briefly consider the idea sometimes raised of the ontological reducibility of chemistry. (shrink)

This article argues that standard models of person-centred care (PCC) and shared decision making (SDM) rely on simplistic, often unrealistic assumptions of patient capacities that entail that PCC/SDM might have detrimental effects in many applications. We suggest a complementary PCC/SDM approach to ensure that patients are able to execute rational decisions taken jointly with care professionals when performing self-care. Illustrated by concrete examples from a study of adolescent diabetes care, we suggest a combination of moral and psychological considerations (...) to support the claim that standard PCC/SDM threatens to systematically undermine its own goals. This threat is due to a tension between the ethical requirements of SDM in ideal circumstances and more long-term needs actualized by the context of self-care handled by patients with limited capacities for taking responsibility and adhere to their own rational decisions. To improve this situation, we suggest a counseling, self-care, adherence approach to PCC/SDM, where more attention is given to how treatment goals are internalized by patients, how patients perceive choice situations, and what emotional feedback patients are given. This focus may involve less of a concentration on autonomous and rational clinical decision making otherwise stressed in standard PCC/SDM advocacy. (shrink)

This Alfred Schutz Memorial Lecture discusses the relationship between the phenomenological life-world analysis and the methodology of the social sciences, which was the central motive of Schutz’s work. I have set two major goals in this lecture. The first is to scrutinize the postulate of adequacy, as this postulate is the most crucial of Schutz’s methodological postulates. Max Weber devised the postulate ‘adequacy of meaning’ in analogy to the postulate of ‘causal adequacy’ (a concept used in jurisprudence) and regarded both (...) as complementary and, in the context of sociological analysis, critical. Schutz extracted the two postulates from the Neokantian epistemology, dismissed the concept of causality, and reduced Weber’s two postulates of adequacy into one, namely, the adequacy of meaning. I discuss the benefits and shortcomings of this reduction. A major problem, in my view, is that Schutz’s reformulation lost the empirical concern that was inherent in Weber’s ‘causal adequacy’. As a result, the models of economics (which shaped Schutz’s conception of social science) are considered to be adequate if they are ‘understandable’ to an everyday actor, even when they are based on the most unrealistic assumptions. To recapture Weber’s empirical orientation I recommend a more restrictive interpretation of the postulate of adequacy that links it to qualitative research and unfolds the critical potential of Schutz’s phenomenological life-world analysis. My second goal is to report on some current developments in German sociology in which a number of approaches explicitly refer to Schutz’s analysis of the life-world and attempt to pursue ‘adequate’ empirical research. This lecture focuses on three approaches: ethnophenomenology, life-world analytic ethnography, and social scientific hermeneutics. (shrink)