Computer simulations and experiments share many important features. One way of explaining the similarities is to say that computer simulations just are experiments. This claim is quite popular in the literature. The aim of this paper is to argue against the claim and to develop an alternative explanation of why computer simulations resemble experiments. To this purpose, experiment is characterized in terms of an intervention on a system and of the observation of the reaction. Thus, if computer simulations are experiments, (...) either the computer hardware or the target system must be intervened on and observed. I argue against the first option using the non-observation argument, among others. The second option is excluded by e.g. the over-control argument, which stresses epistemological differences between experiments and simulations. To account for the similarities between experiments and computer simulations, I propose to say that computer simulations can model possible experiments and do in fact often do so. (shrink)

Observation and experiment as categories for analysing scientific practice have a long pedigree in writings on science. There has, however, been little attempt to delineate observation and experiment with respect to analysing scientific practice; in particular, scientific experimentation, in a systematic manner. Someone who has presented a systematic account of observation and experiment as categories for analysing scientific experimentation is Ian Hacking. In this paper, I present a detailed analysis of Hacking’s observation versus experiment account. Using a range of cases (...) from various fields of scientific enquiry, I argue that the observation versus experiment account is not an adequate framework for delineating scientific experimentation in a systematic manner. (shrink)

Francis Bacon's concept of the ‘vexations of art’ entailed experimentation as an intervention into nature for the purpose of extracting its secrets. Although the standard edition of Bacon's works by Spedding, Ellis and Heath and the new Oxford edition by Graham Rees translate the phrase vexationes artium as the ‘vexations of art’, a significant number of scholars, translators and editors from the seventeenth century to the present have read Bacon's Latin as the ‘torment’ or ‘tortures of art’. Here I discuss (...) these latter interpretations and speculate on the reasons for their association of the term with experimentation. While it may not be possible to say with certainty what Bacon meant by ‘vexation’, the context of his thought, the rich set of metaphors on which he drew and the interpretations of dozens of scholars over four centuries would seem to favour assigning a robust, interventionist meaning to vexare. (shrink)

This paper explores the anatomical foundations of Aristotle's natural philosophy. Rather than simply looking at the body, he contrives specific procedures for revealing unmanifest phenomena. In some cases, these interventions seem extensive enough to qualify as experiments. At the work bench, one can observe the parts of animals in the manner Aristotle describes, even if his descriptions seem at odds with 20th century textbooks. Manipulating animals allows us to recover his teleological thought more fully. This consideration of Aristotle as a (...) sophisticated biologist helps our reading of his writings in other areas of philosophy. (shrink)

Düşünce deneylerine bilimlerde sıkça rastlanmaktadır. Bu deneylerin kullanımı her ne kadar Sokrates öncesi döneme kadar götürülebilse de, on yedinci yüzyılın başından itibaren Galileo, Newton ve Leibniz gibi bilim adamları bu zihinsel araçların önemini kavramıştır. Günümüzde ise, şüphesiz görelilik fiziği ve kuantum mekaniğinde düşünce deneyleri merkezi bir role sahiptir. Bu makalenin amacı bilimsel akılyü-rütmenin bu önemli aracını felsefi bir noktadan hareketle incelemektir. İlk olarak düşünce deneylerine ilişkin kısa bir tarihsel arka plan sağlayarak, bilimlerde kullanımı ele alacağım. Daha sonra iyi bilinen bir (...) düşünce deneyi örneği üzerinden bu deneylerin sergilediği temel özellikleri göstereceğim. Son olarak, düşünce deneylerinin sahip olduğu birçok temel işlevi bazı örnekler üzerinden inceleyeceğim. (shrink)

An experiment, in the standard scientific sense of the term, is a procedure in which some object of study is subjected to interventions that aim at obtaining a predictable outcome or at least predictable aspects of the outcome. The distinction between an experiment and a non-experimental observation is important since they are tailored to different epistemic needs. Experimentation has its origin in pre-scientific technological experiments that were undertaken in order to find the best technological means to achieve chosen ends. Important (...) parts of the methodological arsenal of modern experimental science can be traced back to this pre-scientific, technological tradition. It is claimed that experimentation involves a unique combination of acting and observing, a combination whose unique epistemological properties have not yet been fully clarified. (shrink)

Part I presents a quantitative-empirical outline of chemistry, esp. preparative chemistry, concerning its dominant role in today's science, its dynamics, and its methods and aims. Emphasis is laid on the poietical character of chemistry for which a methodological model is derived. Part II discusses standard distinction between science and technology, from Aristotle (whose theses are reconsidered in the light of modern sciences) to modern philosophy of technology. Against the background of results of Part I, it is argued that all these (...) distinctions fail, because the underlying concepts of science are either out-dated, one-sided, or arbitrary. A deeper understanding of today's sciences requires, in particular, a philosopical investigation of chemistry. (shrink)

A number of recent discussions comparing computer simulation and traditional experimentation have focused on the significance of “materiality.” I challenge several claims emerging from this work and suggest that computer simulation studies are material experiments in a straightforward sense. After discussing some of the implications of this material status for the epistemology of computer simulation, I consider the extent to which materiality (in a particular sense) is important when it comes to making justified inferences about target systems on the basis (...) of experimental results. (shrink)

To what extent was ordinary language philosophy a precursor to experimental philosophy? Since the conditions on pursuit of either project are at best unclear, and at worst protean, the general question is hard to address. I focus instead on particular cases, seeking to uncover some central aspects of J. L. Austin’s and John Cook Wilson’s ordinary language based approach to philosophical method. I make a start at addressing three questions. First, what distinguishes their approach from other more traditional approaches? Second, (...) is their approach a form of experimental philosophy? Third, given their aims, should it have been? I offer the following preliminary answers. First, their approach distinctively emphasizes attention to what we should say when. Second, their approach is closer to contemporary experimental mathematics than it is to some prominent forms of contemporary experimental philosophy. Third, some purported grounds for pursuing their aims by way of surveying what individual speakers would say when are not compelling. (shrink)

This essay is about the ensuing problem that in general it is nothelpful to talk about non-standard knowledge practices as modeled after our Western ideas of what knowledge is. It negotiates this problem by arguing that artisanal knowledge is an independent and self-contained mode of knowledge and is arranged in three parts. In the first part an outline is given of the key assumptions of the interactionist conception of knowledge that needs to be put in place as an alternative to (...) the basically Kantian mixture of empiricist and rationalist assumptions of the folk model of Western academic thinking about knowledge. In this interactionist conception of knowledgeartisanal knowledge gets center stage. In the second part, the notion of craftknowledge is opened up as much as possible. The third and final part takes upthe question whether craft knowledge is a cultural universal. (shrink)

This dissertation defends the reliability of first-person methods for studying consciousness, and applies first-person experiments to two philosophical problems: the experience of size and of the self. In chapter 1, I discuss the motivations for taking a first-person approach to consciousness, the background assumptions of the dissertation and some methodological preliminaries. In chapter 2, I address the claim that phenomenal judgements are far less reliable than perceptual judgements (Schwitzgebel, 2011). I argue that the main errors and limitations in making phenomenal (...) judgements are due to domain-general factors, which are shared in the formation of perceptual judgements. Phenomenal judgements may still be statistically less reliable than perceptual judgements, though I provide reasons for thinking that Schwitzgebel (2011) overstates the case for statistical unreliability. I also provide criteria for distinguishing between reliable and unreliable phenomenal judgements, hence defending phenomenal judgements against general introspective scepticism. Having identified the main errors in making phenomenal judgements, in chapter 3, I discuss how first-person experiments can be used to control for these errors. I provide examples, and discuss how they overcome attentional and conceptual errors, minimise biases, and exhibit high intersubjective reliability. In chapter 4, I investigate size experience. I use first-person experiments and empirical findings to argue that distant things looking smaller cannot be explained as an awareness of instantiated objective properties (visual angle or retinal image size). I also discuss how an awareness of uninstantiated objective properties cannot adequately account for the phenomenal character of size experience. This provides support for a subjectivist account of variance in size experience. In chapter 5, I investigate the sense of self. I distinguish between a weak sense of self (for-me-ness) and a strong sense of self in which there is a polarity between subject and object. I use first-person experiments from Douglas Harding to demonstrate an explicit strong sense of self, specifically when I point at where others see my face. I also argue that this sense of self is not explained by inference, thoughts, feelings, imagination nor the viewpoint. Rather, it is part of the structure of experience that I seem to be looking from here. Even if there is a sense of self, there may be no self. The question of chapter 6 is whether there can be a direct experience of the self. I argue that to function as a bearer of experience the subject must be single and lack sensory qualities in itself. I use Harding’s first-person experiments to investigate the visual gap where I cannot see my head. I argue that it conforms to the above criteria, and hence is a candidate for being the subject. This finding, in conjunction with the fact that I seem to be looking from the same location, provides prima facie evidence for the reality of the subject. I hold then that contrary to Hume and most philosophers since, that there can be a direct self-experience, if one knows which direction to attend. (shrink)

It is often said that computer simulations generate new knowledge about the empirical world in the same way experiments do. My aim is to make sense of such a claim. I first show that the similarities between computer simulations and experiments do not allow them to generate new knowledge but invite the simulationist to interact with simulations in an experimental manner. I contend that, nevertheless, computer simulations and experiments yield new knowledge under the same epistemic circumstances, independently of any features (...) they may share. (shrink)

In this essay I consider, by way of the reflections of accomplished synthetic chemists, how the experimental work of the synthetic organic chemist supports the testing, refinement, and creation of theories of organic chemistry. The role of experiments in modern Baconian sciences like organic chemistry is contrasted with their role in fields of more traditional philosophical concern, such as experimental physics.

Operationalism and theoretical entities. The thesis of the“theory ladenness” of observation leads to an antinomy. In order to solve this antinomy a technical operationalism is sketched, according to which theories should in principle not contain anything that cannot be reduced to technical procedures. This implies the rejection of Quine's underdeterminacy thesis and of many views about the theoretical-observational distinction, e.g. neopositivistic views, van Fraassen's view, Sneed-Stegmüller's view. Then I argue for the following theses: 1. All scientific concepts are theory laden (...) in the sense that they allow us to anticipate possible experiences, but they have to be in principle fully observable, i.e. integrally convertible into operational-technical applications. 2. The observation/theory distinction can be maintained as a historical one: what is observable depends on the instruments that are available at any stage of the development of science. 3.In principle theoretical entities are empirically real in Hacking's sense. However, some aspects of Hacking's realism are to be criticized. Theoretical entities are to be resolved into the totality of the interrelated properties accessible to us by means of theoretical points of view embodied in scientific instruments. (shrink)

Some philosophers see an analogy between simulation and experiment. But, once we acknowledge some similarities between computer simulations and experiments, can we conclude from them that simulations generate empirical knowledge, as experiments do? In this paper, I argue that the similarities between simulation and experiment give the scientist at most the illusion that she is conducting an experiment, but cannot seriously ground the analogy. However, it does not follow that experiments are always epistemologically superior to simulations. I analyze the cases (...) when simulations and experiments equally yield new empirical knowledge. (shrink)