Understanding scientific modelling can be divided into two sub-projects: analysing what model-systems are, and understanding how they are used to represent something beyond themselves. The first is a prerequisite for the second: we can only start analysing how representation works once we understand the intrinsic character of the vehicle that does the representing. Coming to terms with this issue is the project of the first half of this chapter. My central contention is that models are akin to places and characters (...) of literary fictions, and that therefore theories of fiction play an essential role in explaining the nature of model-systems. This sets the agenda. Section 2 provides a statement of this view, which I label the fiction view of model-systems, and argues for its prima facie plausibility. Section 3 presents a defence of this view against its main rival, the structuralist conception of models. In Section 4 I develop an account of model-systems as imagined objects on the basis of the so-called pretence theory of fiction. This theory needs to be discussed in great detail for two reasons. First, developing an acceptable account of imagined objects is mandatory to make the fiction view acceptable, and I will show that the pretence theory has the resources to achieve this goal. Second, the term ‘representation’ is ambiguous; in fact, there are two very different relations that are commonly called ‘representation’ and a conflation between the two is the root of some of the problems that beset scientific representation. Pretence theory provides us with the conceptual resources to articulate these two different forms of representation, which I call p-representation and t-representation respectively. Putting these elements together provides us with a coherent overall picture of scientific modelling, which I develop in Section 5. (shrink)

Though some influentially critical objections have been raised during the ‘classical’ pre-computational simulation philosophy of science tradition, suggesting a more nuanced methodological category for experiments, it safe to say such critical objections have greatly proliferated in philosophical studies dedicated to the role played by computational simulations in science. For instance, Eric Winsberg suggests that computer simulations are methodologically unique in the development of a theory’s models suggesting new epistemic notions of application. This is also echoed in Jeffrey Ramsey’s notions of (...) “transformation reduction,”—i.e., a notion of reduction of a more highly constructive variety. Computer simulations create a broadly continuous arena spanned by normative and descriptive aspects of theory-articulation, as entailed by the notion of transformation reductions occupying a continuous region demarcated by Ernest Nagel’s logical-explanatory “domain-combining reduction” on the one hand, and Thomas Nickels’ heuristic “domain-preserving reduction,” on the other. I extend Winsberg’s and Ramsey’s points here, by arguing that in the field of computational fluid dynamics as well as in other branches of applied physics, the computer plays a constitutively experimental role—supplanting in many cases the more traditional experimental methods such as flow-visualization, etc. In this case, however CFD algorithms act as substitutes, not supplements when it comes to experimental practices. I bring up the constructive example involving the Clifford-Algebraic algorithms for modeling singular phenomena in CFD by Gerik Scheuermann and Steven Mann & Alyn Rockwood who demonstrate that their algorithms offer greater descriptive and explanatory scope than the standard Navier-Stokes approaches. The mathematical distinction between Navier-Stokes-based and Clifford-Algebraic based CFD has essentially to do with the regularization features exhibited to a far greater extent by the latter, than the former. Hence, CACFD indicate that the utilization of computational techniques can be based on principled reasons, as opposed to merely practical. CACFD hence exhibit a new generative role in the field of fluid mechanics, by offering categories of experimental evidence that are optimally descriptive and explanatory—i.e., pace Batterman can be both ontologically and epistemically fundamental. (shrink)

Throughout the last century there has been much discussion over what it is that makes an activity or a theory 'scientific'. In the philosophy of science, conversation has focused on differentiating legitimate science from so-called 'pseudoscience'. In the broader cultural sphere this topic has received attention in multiple legal debates regarding the status of creationism, where it has been generally agreed that the 'supernatural' nature of the claims involved renders them unscientific. In this thesis I focus upon the latter of (...) these issues, arguing that although there may be merit in the larger demarcation project of separating science from pseudoscience, the notion of 'supernaturality' does not belong in this adjudication. Due to the complex cultural issues that have played a role in the history of this topic, this will involve a degree of historical and normative analysis alongside more philosophically abstract considerations. Complicating the discussion is thefact that neither the term 'science' nor 'supernatural' enjoys a widely agreed upon definition. In order to assess the question then, I will survey a wide variety of definitions of each term in order to identify areas of potential conflict. I argue that in none of the prevalent understandings can we find impediment to scientific investigation inherent in the supernaturality of a claim, but rather posit that where difficulty arises it does so for more mundane reasons. I conclude that not only is there no inherent issue with scientific investigation of the supernatural, but that the term 'supernatural' itself is too poorly defined to provide a useful role in philosophical discussion. While I argue that notions of supernaturality should be abandoned entirely when assessing demarcation criteria, I concede that numerous extraneous factors, including the significant degree of overlap between the supernatural and the 'religious', warrant consideration of a compromise position. (shrink)

My doctoral project is a study of epistemological and ethical issues in Evidence-Based Medicine, a movement in medicine which emphasizes the use of randomized controlled trials. Much of the research on EBM suggests that, for a large part of the movement's history, EBM considered expertise, mechanisms, and values to be forces contrary to its goals and has sought to remove them, both from medical research and from the clinical encounter. I argue, however, that expertise, mechanisms and values have important epistemological (...) and ethical roles to play and can be incorporated into the current EBM movement. (shrink)

The article discusses the formal classification of natural sciences, which is based on several propositions: (a) natural sciences can be separated onto independent and dependent sciences based on the gnosiologic criterion and irreducibility criteria (principal and technical); (b) there are four independent sciences which form a hierarchy: physics ← chemistry ← terrestrial biology ← human psychology; (c) every independent science except for physics has already developed or will develop in the future a set of final paradigms formulated in the terms (...) of the science one step above it in the hierarchy; (d) some paradigms in physics will never become final; (e) each independent natural science has dependent sciences with paradigms already expressed in the terms of the respective independent sciences. Existing paradigms of independent natural sciences are listed and discussed with respect to the degree of their approach to the final state. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}. (shrink)

This paper proposes a critical examination of the wholism that Cartwright contemplates. The first part spells out the consequences of this position – notably our principled ignorance of nature as a whole. The second part considers that physical theory which is widely claimed to exhibit some sort of wholism, namely quantum physics. I sketch a wholistic model of quantum physics and compare this model to the wholism that Cartwright considers. The result is that – contrary to what Cartwright suggests – (...) we do not have to see ourselves as being ignorant of nature as such and our scientific view of nature can be quite systematic instead of being a patchwork. Finally, Cartwright’s wholism is confronted with confirmation wholism and semantic wholism. The result is again that these sorts of wholism speak against a patchwork view of our knowledge. (shrink)

In "Bayesian Confirmation of Theories that Incorporate Idealizations", Michael Shaffer argues that, in order to show how idealized hypotheses can be confirmed, Bayesians must develop a coherent proposal for how to assign prior probabilities to counterfactual conditionals. This paper develops a Bayesian reply to Shaffer's challenge that avoids the issue of how to assign prior probabilities to counterfactuals by treating idealized hypotheses as abstract descriptions. The reply allows Bayesians to assign non-zero degrees of confirmation to idealized hypotheses and to capture (...) the intuition that less idealized hypotheses tend to be better confirmed than their more idealized counterparts. (shrink)