Experiments (E), computer simulations (CS) and thought experiments (TE) are usually seen as playing different roles in science and as having different epistemologies. Accordingly, they are usually analyzed separately. We argue in this paper that these activities can contribute to answering the same questions by playing the same epistemic role when they are used to unfold the content of a well-described scenario. We emphasize that in such cases, these three activities can be described by means of the (...) same conceptual framework—even if each of them, because they involve different types of processes, fall under these concepts in different ways. We further illustrate our claims by presenting a threefold case study describing how a TE, a CS and an E were indeed used in the same role at different periods to answer the same questions about the possibility of a physical Maxwellian demon. We also point at fluid dynamics as another field where these activities seem to be playing the same unfolding role. We analyze the importance of unfolding as a general task of science and highlight how our description in terms of epistemic functions articulates in a noncommittal way with the epistemology of these three activities and accounts for their similarities and the existence of hybrid forms of activities. We finally emphasize that picturing these activities as functionally substitutable does not imply that they are epistemologically substitutable. (shrink)

Computer simulation modeling is an important part of contemporary scientific practice but has not yet received much attention from philosophers. The present project helps to fill this lacuna in the philosophical literature by addressing three questions that arise in the context of computer simulation of Earth's climate. Computer simulation experimentation commonly is viewed as a suspect methodology, in contrast to the trusted mainstay of material experimentation. Are the results of computer simulation experiments somehow deeply problematic in ways that the (...) results of material experiments are not? I argue against categorical skepticism toward the results of computer simulation experiments by revealing important parallels in the epistemologies of material and computer simulation experimentation. It has often been remarked that simple computer simulation models---but not complex ones---contribute substantially to our understanding of the atmosphere and climate system. Is this view of the relative contributions of simple and complex models tenable? I show that both simple and complex climate models can promote scientific understanding and argue that the apparent contribution of simple models depends upon whether a causal or deductive account of scientific understanding is adopted. When two incompatible scientific theories are under consideration, they typically are viewed as competitors, and we seek evidence that refutes at least one of the theories. In the study of climate change, however, logically incompatible computer simulation models are accepted as complementary resources for investigating future climate. How can we make sense of this use of incompatible models? I show that a collection of incompatible climate models persists in part because of difficulties faced in evaluating and comparing climate models. I then discuss the rationale for using these incompatible models together and argue that this climate model pluralism has both competitive and integrative components. (shrink)

Several major breakthroughs in the history of physics have been prompted not by new empirical data but by thought experiments. James Robert Brown and John Norton have developed accounts of how thought experiments can yield such advances. Brown argues that knowledge gained via thought experiments demands a Platonic explanation; thought experiments for Brown are a window into the Platonic realm of the laws of nature. Norton argues that thought experiments are just cleverly disguised inductive or (...) deductive arguments, so no new account of their epistemology is needed. In this paper, I argue that although we do not need to invoke any Platonic insight to explain thought experimentation, Norton’s eliminativist account fails to capture the unique epistemological importance of thought experiments qua thought experiments. I then present my own account, according to which thought experiments are a particular type of inductive inference that is uniquely suited to generate new breakthroughs. (shrink)

In this book, Sorensen presents the first general theory of the thought experiment. He analyses a wide variety of thought experiments, ranging from aesthetics to zoology, and explores what thought experiments are, how they work, and what their positive and negative aspects are. Sorensen also sets his theory within an evolutionary framework and integrates recent advances in experimental psychology and the history of science.

Two experiments (N1 = 141, N2 = 40) investigate two versions of Aristotle’s Thesis for the first time. Aristotle’s Thesis is a negated conditional, which consists of one propositional variable with a negation either in the antecedent (version 1) or in the consequent (version 2). This task allows us to infer if people interpret indicative conditionals as material conditionals or as conditional events. In the first experiment I investigate between-participants the two versions of Aristotle’s Thesis crossed with abstract versus (...) concrete task material. The modal response for all four groups is consistent with the conditional event and inconsistentwith the material conditional interpretation. This observation is replicated in the second experiment. Moreover, the second experiment rules out scope ambiguities of the negation of conditionals. Both experiments provide new evidence against thematerial conditional interpretation of conditionals and support the conditional event interpretation. Finally, I discuss implications formodeling indicative conditionals and the relevance of this work for experimental philosophy. (shrink)

We might think that thought experiments are at their most powerful or most interesting when they produce new knowledge. This would be a mistake; thought experiments that seek understanding are just as powerful and interesting, and perhaps even more so. A growing number of epistemologists are emphasizing the importance of understanding for epistemology, arguing that it should supplant knowledge as the central notion. In this chapter, I bring the literature on understanding in epistemology to bear on explicating the (...) different ways that thought experiments increase three important kinds of understanding: explanatory, objectual and practical. (shrink)

Are thought experiments nothing but arguments? I argue that it is not possible to make sense of the historical trajectory of certain thought experiments if one takes them to be arguments. Einstein and Bohr disagreed about the outcome of the clock-in-the-box thought experiment, and so they reconstructed it using different arguments. This is to be expected whenever scientists disagree about a thought experiment's outcome. Since any such episode consists of two arguments but just one thought experiment, the thought (...) experiment cannot be the arguments. (shrink)

The era of ‘big data’ studies and computational social science has recently given rise to a number of realignments within and beyond the social sciences, where otherwise distinct data formats – digital, numerical, ethnographic, visual, etc. – rub off and emerge from one another in new ways. This article chronicles the collaboration between a team of anthropologists and sociologists, who worked together for one week in an experimental attempt to combine ‘big’ transactional and ‘small’ ethnographic data formats. Our collaboration (...) is part of a larger cross-disciplinary project carried out at the Danish Technical University, where high-resolution transactional data from smartphones allows for recordings of social networks amongst a freshman class. With a parallel deployment of ethnographic fieldwork among the DTU students, this research set-up raises a number of questions concerning how to assemble disparate ‘data-worlds’ and to what epistemological and political effects? To address these questions, a specific social event – a lively student party – was singled out from the broader DTU dataset. Our experimental collaboration used recordings of Bluetooth signals between students’ phones to visualize the ebb and flow of social intensities at the DTU party, juxtaposing these with ethnographic field-notes on shifting party atmospheres. Tracing and reflecting on the process of combining heterogeneous data, the article offers a concrete case of how a ‘stitching together’ of digital and ethnographic data-worlds might take place. (shrink)

Preface: This volume originated in a conference on "The Place of Thought Experiments in Science and Philosophy" which was organized by us and held at the Center for Philosophy of Science at the University of Pittsburgh, April 18-20, 1986. The idea behind this conference was to encourage philosophers and scientists to talk to each other about the role of thought experiments in their various disciplines. These papers were either written for the conference, or were written after (...) it by commentators and other participants.... We hope that this volume will be of use to other philosophers and scientists who are interested in thought experiments, as well as inspire more work in this area.... (shrink)

We attribute the capability of imagination to the madman as to the scientist, to the novelist as to the metaphysician, and last but not least to ourselves. The same, apparently, holds for thought experimentation. Ernst Mach was the first to draw an explicit link between these two mental acts; moreover -in his perspective- imagination plays a pivotal role in thought experimentation. Nonetheless, it is not clear what kind of imagination emerges from Mach’s writings. Indeed, heated debates among cognitive scientists and (...) philosophers turn on the key distinction between sensory and cognitive imagination. Generally speaking, we can say that sensory imagination shares some processes with perception, cognitive imagination with the formation of belief. Both the vocabulary used in the literature on thought experiments and what I refer to as “Machian tradition” indicate imagination as a notion of central importance in the reasoning involved in thought experiments. However, most authors have really focused on sensory (in particular, visual) imagination, but have neglected the second kind. Moreover, some authors attribute to Mach the idea that it is visual imagery that is primarily at work in thought experiments. I claim another interpretation is possible, according to which Mach can be said to deal with cognitive imagination. The main aim of this paper is to retrace Mach’s original arguments and establish a connection with the cognitive literature on imagination. I will argue that imagination tout court could play a role in thought experimentation. Once imagination is seen as the key to the “cognitive black-box” of the thought experiment, we will have moved a step closer to a simulative imagining-based account of thought experimentation. (shrink)

Several language experiments have been carried out on apes and other animals aiming to narrow down the presumed qualitative gap that separates humans from other animals. These experiments, however, have been driven by the understanding of language as a purely symbolic sign system, often connected to a profound disinterest for language use in real situations and a propensity to perceive grammatical and syntactic information as the only fundamental aspects of human language. For these reasons, the language taught to (...) apes tends to discard iconic and indexical elements in favour of symbolic signs. This paper sheds light on the iconic components of human language, with close attention to the iconic properties of language as present in the ape language experiments. We emphasise the role of the body in the interpretation and production of iconic signs, while demonstrating the need to take into account the Umwelt theory in the research paradigm of the experiments. Uexküll’s Umwelt theory is used to exemplify the methodological problems connected to the teaching of human language to other animal species; furthermore, we discuss how the modelling capacities of language affect the biological layer that constitutes the animal Umwelt. Language is analysed as a particular case of Umwelt transition, and as such its implications are further discussed in the article. With this paper, we enrich the discussion surrounding the human-ape pidgin language by advocating for the need to include iconic components as vital parts of this research area. With this inclusion, we uncover the inter-dependency of iconic, indexical and symbolic signs in human language, aiming to further develop the research paradigm of the ape language experiments. (shrink)

Robots are being extensively used for the purpose of discovering and testing empirical hypotheses about biological sensorimotor mechanisms. We examine here methodological problems that have to be addressed in order to design and perform “good” experiments with these machine models. These problems notably concern the mapping of biological mechanism descriptions into robotic mechanism descriptions; the distinction between theoretically unconstrained “implementation details” and robotic features that carry a modeling weight; the role of preliminary calibration experiments; the monitoring of experimental (...) environments for disturbing factors that affect both modeling features and theoretically unconstrained implementation details of robots. Various assumptions that are gradually introduced in the process of setting up and performing these robotic experiments become integral parts of the background hypotheses that are needed to bring experimental observations to bear on biological mechanism descriptions. (shrink)

The philosophical literatures on models and thought experiments have been developing exponentially, and independently, for decades. This independence is surprising, given how similar models and thought experiments are. They each have “lives of their own,” they sit between theory and experience, they are important for both pedagogy and cutting-edge science, they galvanize conceptual changes and paradigm shifts, and they involve entertaining imaginary scenarios and working out what happens. Recently, philosophers have begun to highlight these similarities. This entry (...) aims at taking the idea further, by trying to systematically identify places where insights from one literature can be taken up in the other. Along the way, important differences will also be highlighted. (shrink)

Stem cell biology is driven by experiment. Its major achievements are striking experimental productions: "immortal" human cell lines from spare embryos (Thomson et al. 1998); embryo-like cells from "reprogrammed" adult skin cells (Takahashi and Yamanaka 2006); muscle, blood and nerve tissue generated from stem cells in culture (Lanza et al. 2009, and references therein). Well-confirmed theories are not so prominent, though stem cell biologists do propose and test hypotheses at a profligate rate. 1 This paper aims to characterize the role (...) of experiment in stem cell biology, so as to answer the following question: how do experiments contribute to our knowledge of stem cells and related phenomena? The .. (shrink)

The experimental method is designed to secure the reliable attribution of causal relationships by means of controlled comparison across conditions. Doing so, however, depends upon the reduction of uncertainties and inconsistencies in the process of comparison; and this poses particularly significant challenges for the behavioral and social sciences because they work with human subjects, whose malleability and complexity often interact in unexpected ways with experimental manipulations, thus resulting in unpredictable behavior. Drawing on the Science and Technology Studies perspective and (...) one of our authors’ experiences in experimental work, this paper examines how experimental social scientists manage to establish objectivity and standardization in the face of vagaries arising from working with human subjects. In identifying experimental researchers’ solutions to this challenge, we draw on methodological discussions among applied social scientists as naturally occurring data, through which we show how some seemingly mundane practices play essential roles in extracting patterns out of otherwise unpredictable behaviors in the lab. Closely examining such strategies, we reveal the inherent instabilities in the experimental method when adopted in the social sciences and discuss their methodological implications. In conclusion, we make tentative suggestions for escaping the kinds of methodological impasses which we have identified. (shrink)

Thought experiments are ordinary argumentation disguised in a vivid pictorial or narrative form. This account of their nature will allow me to show that empiricism has nothing to fear from thought experiments. They perform no epistemic magic. In so far as they tell us about the world, thought experiments draw upon what we already know of it, either explicitly or tacitly; they then transform that knowledge by disguised argumentation. They can do nothing more epistemically than can argumentation. (...) I defend my account of thought experiments in Section 3 by urging that the epistemic reach of thought experiments turns out to coincide with that of argumentation and that this coincidence is best explained by the simple view that thought experiments just are arguments. Thought experiments can err—-a fact to be displayed by the thought experiment - anti thought experiment pairs of Section 2. Nonetheless thought experiments can be used reliably and, I urge in Section 4., this is only possible if they are governed by some very generalized logic. I will suggest on evolutionary considerations that their logics are most likely the familiar logics of induction and deduction, recovering the view that thought experiment is argumentation. Finally in Section 5 I defend this argument based epistemology of thought experiments against competing accounts. I suggest that these other accounts can offer a viable epistemology only insofar as they already incorporate the notion that thought experimentation is governed by a logic, possibly of very generalized form. (shrink)

Since the discovery of dark matter in the 1980s, multiple experiments have been set up to detect dark matter particles through some other mode than gravity. Particle physicists provide detailed jus...

Philosophers of experiment have acknowledged that experiments are often more than mere hypothesis-tests, once thought to be an experiment's exclusive calling. Drawing on examples from contemporary biology, I make an additional amendment to our understanding of experiment by examining the way that `wide' instrumentation can, for reasons of efficiency, lead scientists away from traditional hypothesis-directed methods of experimentation and towards exploratory methods.

While first-person methods are essential for a science of consciousness, it is controversial what form these methods should take and whether any such methods are reliable. I propose that first-person experiments are a reliable method for investigating conscious experience. I outline the history of these methods and describe their characteristics. In particular, a first-person experiment is an intervention on a subject's experience in which independent variables are manipulated, extraneous variables are held fixed, and in which the subject makes (...) a phenomenal judgement about the target experience of the investigation. I examine historical and contemporary examples of first-person experiments: Mariotte’s demonstration of the visual blind spot, Kanizsa’s subjective contours, the Tse Illusion, and investigations of the non-uniform resolution of the visual field. I discuss the role that phenomenal contrast plays in these methods, and how they overcome typical introspective errors. I argue that their intersubjective repeatability is an important factor in their scientific status, however, it is not the only factor. That they control for extraneous factors and confounds is another factor which sets them apart from pseudoscience (e.g., the perception of auras), and hence another reason for classifying them as genuine experiments. Furthermore, by systematically mapping out the structure of visual experience, these methods make scientific progress. Praises of such first-person experimental approaches may not always be sung by philosophers and psychologists, but they continue to flourish as respectable scientific methods nevertheless. (shrink)

: An examination of two thought experiments in contemporary physics reveals that the same thought experiment can be reanalyzed from the perspective of different and incompatible theories. This fact undermines those accounts of thought experiments that claim their justificatory power comes from their ability to reveal the laws of nature. While thought experiments do play a genuine evaluative role in science, they do so by testing the nonempirical virtues of a theory, such as consistency and explanatory (...) power. I conclude that, while their interpretation presupposes a whole set of background theories and putative laws, thought experiments nonetheless can evolve and be retooled for different theories and ends. (shrink)

Social scientists are often interested in understanding how the dynamics of social systems are driven by the behavior of individuals that make up those systems. However, this process is hindered by the difficulty of experimentally studying how individual behavioral tendencies lead to collective social dynamics in large groups of people interacting over time. In this study, we investigate the role of social influence, a process well studied at the individual level, on the puzzling nature of success for cultural products such (...) as books, movies, and music. Using a “multiple‐worlds” experimental design, we are able to isolate the causal effect of an individual‐level mechanism on collective social outcomes. We employ this design in a Web‐based experiment in which 2,930 participants listened to, rated, and downloaded 48 songs by up‐and‐coming bands. Surprisingly, despite relatively large differences in the demographics, behavior, and preferences of participants, the experimental results at both the individual and collective levels were similar to those found in Salganik, Dodds, and Watts (2006). Further, by comparing results from two distinct pools of participants, we are able to gain new insights into the role of individual behavior on collective outcomes. We conclude with a discussion of the strengths and weaknesses of Web‐based experiments to address questions of collective social dynamics. (shrink)

This book is a radical plea for the centrality of experience in the social and human sciences. Scott Lash argues that a large part of the output of the social sciences today is still shaped by assumptions stemming from positivism, in contrast to the tradition of interpretative social enquiry pioneered by Max Weber. These assumptions are particularly central to economics, with its emphasis on homo economicus, the utility-maximizing, instrumental actor, but they have infiltrated the other social sciences too. Lash argues (...) for a social sciences based not in positivism’s utilitarian a priori but instead in the a posteriori of grounded and embedded subjective experience. This features a politics of Hannah Arendt’s public sphere, which begins with the particular experience of Aristotle’s polis and moves - via Rome, Augustine and Kant - to a modernity that acknowledges the fragility of political worlds. Yet modernity is also a matter of technological experience and technological forms of life. Lash - starting from Aristotle’s technics and working through Turing’s and Shannon’s computer mediation – develops a novel account of technological experience, of how objects themselves experience. And here he finds a surprising convergence with Chinese cosmology’s ethos of dao, qi and li: the experience of the embedded multiplicity of the ‘ten thousand things’. This original book by a leading social and cultural theorist will be of interest to scholars and students across the social sciences, from sociology and cultural studies to anthropology and politics. (shrink)

Some experiments in perceptual psychology measure perceivers’ phenomenal experiences of objects versus their cognitive assessments of object properties. Analyzing such experiments, this article responds to Pizlo’s claim that much work on shape constancy before 1985 confused problems of shape ambiguity with problems of shape constancy. Pizlo fails to grasp the logic of experimental designs directed toward phenomenal aspects of shape constancy. In the domain of size perception, Granrud’s studies of size constancy in children and adults distinguish phenomenal from (...) cognitive factors. (shrink)

Going back at least to Duhem, there is a tradition of thinking that crucial experiments are impossible in science. I analyse Duhem's arguments and show that they are based on the excessively strong assumption that only deductive reasoning is permissible in experimental science. This opens the possibility that some principle of inductive inference could provide a sufficient reason for preferring one among a group of hypotheses on the basis of an appropriately controlled experiment. To be sure, there (...) are analogues to Duhem's problems that pertain to inductive inference. Using a famous experiment from the history of molecular biology as an example, I show that an experimentalist version of inference to the best explanation (IBE) does a better job in handling these problems than other accounts of scientific inference. Furthermore, I introduce a concept of experimental mechanism and show that it can guide inferences from data within an IBE-based framework for induction. 1. Introduction2. Duhem on the Logic of Crucial Experiments3. ‘The Most Beautiful Experiment in Biology’4. Why Not Simple Elimination?5. Severe Testing6. An Experimentalist Version of IBE 6.1. Physiological and experimental mechanisms6.2. Explaining the data6.3. IBE and the problem of untested auxiliaries6.4. IBE-turtles all the way down7. Van Fraassen's ‘Bad Lot’ Argument8. IBE and Bayesianism9. Conclusions. (shrink)

Thought experiments are ubiquitous in science and especially prominent in domains in which experimental and observational evidence is scarce. One such domain is the causal analysis of singular events in history. A long‐standing tradition that goes back to Max Weber addresses the issue by means of ‘what‐if’ counterfactuals. In this paper I give a descriptive account of this widely used method and argue that historians following it examine difference makers rather than causes in the philosopher’s sense. While difference (...) making is neither necessary nor sufficient for causation, to establish difference makers is more consistent with the historians’ more ultimate purposes. †To contact the author, please write to: Department of Philosophy, Erasmus University, 3000 DR Rotterdam, The Netherlands; e‐mail: [email protected]. (shrink)

The question of where, between theory and experiment, computer simulations (CSs) locate on the methodological map is one of the central questions in the epistemology of simulation (cf. Saam Journal for General Philosophy of Science, 48, 293–309, 2017). The two extremes on the map have them either be a kind of experiment in their own right (e.g. Barberousse et al. Synthese, 169, 557–574, 2009; Morgan 2002, 2003, Journal of Economic Methodology, 12(2), 317–329, 2005; Morrison Philosophical Studies, 143, 33–57, 2009; (...) Morrison 2015; Massimi and Bhimji Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 51, 71–81, 2015; Parker Synthese, 169, 483–496, 2009) or just an argument executed with the aid of a computer (e.g. Beisbart European Journal for Philosophy of Science, 2, 395–434, 2012; Beisbart and Norton International Studies in the Philosophy of Science, 26, 403–422, 2012). There exist multiple versions of the first kind of position, whereas the latter is rather unified. I will argue that, while many claims about the ‘experimental’ status of CSs seem unjustified, there is a variant of the first position that seems preferable. In particular I will argue that while CSs respect the logic of (deductively valid) arguments, they neither agree with their pragmatics nor their epistemology. I will then lay out in what sense CSs can fruitfully be seen as experiments, and what features set them apart from traditional experiments nonetheless. I conclude that they should be seen as surrogate experiments, i.e. experiments executed consciously on the wrong kind of system, but with an exploitable connection to the system of interest. Finally, I contrast my view with that of Beisbart (European Journal for Philosophy of Science, 8, 171–204, 2018), according to which CSs are surrogates for experiments, arguing that this introduces an arbitrary split between CSs and other kinds of simulations. (shrink)

This is the introduction to a special issue of HOPOS on the history of the philosophy of thought experiments.

In this paper I examine the role of thought experiments in the social studies of science. More specifically, I will focus on two strands of social studies of science: the so-called sociology of scientific knowledge and the naturalistically oriented philosophy of science with interest in social dimensions of science. I begin by discussing David Hull's views on thought experiments in the study of science. His account serves as a foil that helps me to (...) make some points about thought experiments. As an illustration I discuss two example of thought experimenting in the social studies of science. The first example is the use of thought experiments by the sociologists of scientific knowledge, and the second case will be the recent work by Philip Kitcher on division of cognitive labour. With the help of these cases, I argue that Hull's negative attitude towards the use of thought experiments requires some, tempering. The notion of thought experiment will be understood broadly in this paper. One could also talk about imaginary or hypothetical examples. In social sciences the contrast for thought experiments is not an experiment, but an empirical case study. Accordingly, thought experiment in social science in an imaginary case study or a made up historical scenario. The focus of my discussion is on the various functions and argumentative roles thought experiments have or could have in social studies of science. An empirical experiment (or a case study) is not an argument by itself, nor is a thought experiment. However, they both are used in making arguments and my aim is to look how they are used. (shrink)

Marco Buzzoni has presented a Kantian account of thought experiments in science as a serious rival to the current empiricist and Platonic accounts. This paper takes the first steps of a comprehensive assessment of this account in order to further the more general discussion of the feasibility of a Kantian theory of scientific thought experiments. Such a discussion is overdue. To this effect the broader question is addressed as to what motivates a Kantian approach. Buzzoni's account and (...) the assessment developed in this paper are warranted by the fact that the history of philosophical inquiry into thought experiments is deeply interwoven with Kant's philosophy. This history will be depicted here for the first time in more comprehensive terms to contextualize Buzzoni's account in historical and systematic perspective. (shrink)

This paper argues against general claims for the epistemic superiority of experiment over observation. It does so by dissociating the benefits traditionally attributed to experiment from physical manipulation. In place of manipulation, we argue that other features of research methods do confer epistemic advantages in comparison to methods in which they are diminished. These features better track the epistemic successes and failures of scientific research, cross-cut the observation/experiment distinction, and nevertheless explain why manipulative experiments are successful when they are.

This chapter contains sections titled: Science and Technology Instruments in Science New Experimentalism Instruments in Scientific Practice The Interwovenness of Science and Technology References and Further Reading.

In lieu of an abstract, here is a brief excerpt of the content:Philosophy and Rhetoric 37.1 (2004) 21-41 [Access article in PDF] Conquering Our Imagination: Thought Experiments and Enthymemes in Scientific Argument Nathan Crick Department of Communication University of Pittsburgh The dividing line between rhetoric and science has traditionally been drawn at the split between persuasion and logic. On the one side, rhetoric seeks to influence human beliefs and behavior through use of stylistic language that resonates with the (...) experiences of an audience; on the other, science endeavors to describe empirical phenomena through the use of logical propositions that can be understood wholly on their own terms. However, recent scholarship has blurred this border. For instance, in his research on Charles Darwin's rhetorical accomplishments, John Angus Campbell has sought to break down "the neopositivist Berlin Wall separating the context of discovery from the context of justification" that represents this traditional division (1990, 23). Claiming that scientific discovery and rhetorical invention are each "an aspect of a flexible logic of inquiry and presentation" (23), Campbell argues that "the social and theological ring of Darwin's language is not merely decorative or ameliorative, but is constitutive of the fabric of his thought" (5). In other words, Campbell insists there is something intrinsically valuable about Darwin's frequent use of colloquial language beyond its immediate rhetorical appeal—it also contributes something fundamental to scientific knowledge itself.This "something," according to Campbell, is the necessary connection between argument and audience that inspires scientific theorizing and culminates in the establishment of new scientific paradigms. Within the context of discovery, the potential rhetorical audience works as a motivating force in the invention of persuasive arguments. That is why, when Darwin's notebooks are closely examined, it can "be said that virtually every note Darwin penned... was written with an eye to a public, often in response to a nameable individual" (1990, 23). Then, within the context of justification, the actual rhetorical audience works to literally fill in the necessary gaps in any rhetorical argument. That is why Darwin, in order to [End Page 21] tap into this resource, "embedded his central insight in a preexisting common world of thought and feeling" (4). Finally, it is for both of these reasons that one cannot fully reconstruct Darwin's "core concept of his argument as a logical proposition shorn of its colloquial language and associations" (4). For Campbell, "the danger in setting aside Darwin's language is that we effectively remove half of the problem he addressed and disregard the intelligence required to address it—how to present a radical idea to a particular scientific and popular audience in a way that retains the persuasive force of the very tradition it destroys" (5).Campbell's claim that rhetoric is constitutive and cannot be boiled away through logical or reductive analysis asserts the centrality of both stylistic language and audience within the process of scientific argumentation. However, although it is clear that rhetoric has a role to play during revolutionary moments in the history of science, it is not as clear that contemporary audiences cannot go directly to the logical reconstructions of past theories without any significant loss of cognitive value. Thus, we must ask whether a scientific argument, when removed from its immediate persuasive context, can nonetheless be "shorn of its colloquial language and associations" in order to reveal its logical core. What, in other words, is the relationship between the logic of scientific argumentation, the rhetorical appeal of language, and the participation of an audience?This essay suggests that a tentative answer can be found by approaching the question through the concept of the "thoughtexperiment." Thought experiments are distinguished from traditional experiments by their explicitly hypothetical quality. Instead of seeking immediately verifiable empirical results, they are designed to invite an audience to visualize a set of initial conditions and then imagine what might happen in response to those conditions. Galileo, for instance, authored one of the most famous thought experiments when he speculated what would happen if two objects of different weights were tied together and dropped. Einstein tried to envision what we might see from a clear box... (shrink)

The philosophical foundations of consciousness science -- The historical foundations of consciousness science -- The conceptual foundations of consciousness science -- Neuropsychological deficits of visual consciousness -- Neuropsychological dissociations of visual consciousness from behaviour -- Neuropsychological disorders of self-awareness -- Methods and design of NCC experiments -- Studies on the neural basis of consciousness as a state -- Studies on the neural basis of visual consciousness.

Phishing is a fraudulent form of email that solicits personal or financial information from the recipient, such as a password, username, or social security or bank account number. The scammer may use the illicitly obtained information to steal the victim’s money or identity or sell the information to another party. The direct costs of phishing on consumers are exceptionally high and have risen substantially over the past 12 years. Phishing experiments that simulate real world conditions can provide cybersecurity experts (...) with valuable knowledge they can use to develop effective countermeasures and prevent people from being duped by phishing emails. Although these experiments contravene widely accepted informed consent requirements and involve deception, we argue that they can be conducted ethically if risks are minimized, confidentiality and privacy are protected, potential participants have an opportunity to opt out of the research before it begins, and human subjects are debriefed after their participation ends. (shrink)

Online controlled experiments, also known as A/B tests, have become ubiquitous. While many practical challenges in running experiments at scale have been thoroughly discussed, the ethical dimension of A/B testing has been neglected. This article fills this gap in the literature by introducing a new, soft ethics and governance framework that explicitly recognizes how the rise of an experimentation culture in industry settings brings not only unprecedented opportunities to businesses but also significant responsibilities. More precisely, the article (a) (...) introduces a set of principles to encourage ethical and responsible experimentation to protect users, customers, and society; (b) argues that ensuring compliance with the proposed principles is a complex challenge unlikely to be addressed by resorting to a one-solution response; (c) discusses the relevance and effectiveness of several mechanisms and policies in educating, governing, and incentivizing companies conducting online controlled experiments; and (d) offers a list of prompting questions specifically designed to help and empower practitioners by stimulating specific ethical deliberations and facilitating coordination among different groups of stakeholders. (shrink)

This article examines how local experiments and negotiation processes contribute to social and field-level learning. The analysis is framed within the niche development literature, which offers a framework for analyzing the relation between projects in local contexts and the transfer of local experiences into generally applicable rules. The authors examine 2 case studies drawn from a meta-analysis of 27 new energy projects. The case studies, both pertaining to biogas projects for local municipalities, illustrate the diversity of applications for a (...) technology through processes of local variation and selection. The authors examine the diversity of expectations and the negotiation and alignment of these expectations underlying the diversity of local solutions. Moreover, the authors address how the transfer of lessons from individual local experiments can follow different pathways and yet always require due attention to the social and cultural limits to the transferability of solutions. (shrink)

Debates in the philosophy of science typically take place around issues such as realism and theory change. Recently, the debate has been reformulated to bring in the role of experiments in the context of theory change. As regards realism, Ian Hacking’s contribution has been to introduce ‘intervention’ as the basis of realism. He also proposed, following Imre Lakatos, to replace the issue of truth with progress and rationality. In this context we examine the case of the vitalism — (...) reductionism debate in biology inspired by the works of Indian physicist-turned-biologist Jagadish Chandra Bose (1858–1937), in the early twentieth century. Both camps had their characteristic hardcores. Vitalists led by John S. Burdon-Sanderson and Augustus D. Waller accepted religious metaphysics to support their research programme, which ultimately degenerated. Bose worked more with the ideals of science such as Occam’s razor, large-scale systematization of phenomena and novel prediction. I argue that his religious metaphysics, instead of acting as a protective shield, helped him to consolidate his position and allowed further problem shift resulting in a research programme that involved consciousness too. His research programme remains relevant even today. (shrink)

本书从生存论角度对人文科学与自然科学之间的关系进行研究,以大陆的理性主义和英美的经验主义这西方哲学的两大传统的为背景,把握人文科学与自然科学的本质,并做出批判。.

Reactivity, or the phenomenon by which subjects tend to modify their behavior in virtue of their being studied upon, is often cited as one of the most important difficulties involved in social scientific experiments, and yet, there is to date a persistent conceptual muddle when dealing with the many dimensions of reactivity. This paper offers a conceptual framework for reactivity that draws on an interventionist approach to causality. The framework allows us to offer an unambiguous definition of reactivity and (...) distinguishes it from placebo effects. Further, it allows us to distinguish between benign and malignant forms of the phenomenon, depending on whether reactivity constitutes a danger to the validity of the causal inferences drawn from experimental data. (shrink)

In order to assess and understand human behavior, traditional approaches to experimental design incorporate testing tools that are often artificial and devoid of corporeal features. Whilst these offer experimental control in situations in which, methodologically, real behaviors cannot be examined, there is increasing evidence that responses given in these contextually deprived experiments fail to trigger genuine responses. This may result from a lack of consideration regarding the material makeup and associations connected with the fabric of experimental tools. In a (...) two-year collaboration, we began to experiment with the physicality of testing tools using the domain of moral psychology as a case study. This collaboration involved thinkering and prototyping methods that included direct contact and consideration of the materials involved in experimentation. Having explored the embodied nature of morality, we combined approaches from experimental psychology, moral philosophy, design thinking, and computer science to create a new testing tool for simulated moral behavior. Although the testing tool itself generated fruitful results, this paper considers the collaborative methodology through which it was produced as a route to highlight material questions within psychological research. (shrink)

Argumentation is a very fertile area of research in Artificial Intelligence, and various semantics have been developed to predict when an argument can be accepted, depending on the abstract structure of its defeaters and defenders. When these semantics make conflicting predictions, theoretical arbitration typically relies on ad hoc examples and normative intuition about what prediction ought to be the correct one. We advocate a complementary, descriptive-experimental method, based on the collection of behavioral data about the way human reasoners handle these (...) critical cases. We report two studies applying this method to the case of reinstatement (both in its simple and floating forms). Results speak for the cognitive plausibility of reinstatement and yet show that it does not yield the full expected recovery of the attacked argument. Furthermore, results show that floating reinstatement yields comparable effects to that of simple reinstatement, thus arguing in favor of preferred argumentation semantics, rather than grounded argumentation semantics. Besides their theoretical value for validating and inspiring argumentation semantics, these results have applied value for developing artificial agents meant to argue with human users. (shrink)

This article analyzes a type of experiment, very popular in 18th-century natural philosophy, which has apparently not led to insights into nature but which was aesthetically especially attractive. These experiments--"mimetic experiments"--allow us to trace a connection between aesthetic appreciation in science and in art contemporaneous with the science. I use this case as a problem for McAllister's theory of aesthetic induction according to which aesthetic standards in science tend to be associated with empirical success and (...) propose an alternative mechanism that is able to account for the natural philosophers' predilection for unsuccessful but beautiful experiments. (shrink)

Hempel’s account of thought experiments has been discussed only by a very few authors and, for the most part, with rather cursory remarks. Its importance, however, is not only historical, but also systematic theoretical, because it involves the distinction between discovery and justification, a main pillar of neopositivistic philosophy of science. Hempel raised the question whether thought experiments constitute a methodological component of scientific research or, on the contrary, are merely a heuristic-psychological device for obtaining and/or transmitting (...) new ideas. While conceding a few exceptions in the natural sciences, he argued that thought experiments always have a heuristic character in the social sciences. There is however a fundamental tension in Hempel’s conception of thought experiments, between the thesis of methodological monism and the neopositivistic dichotomy discovery/justification. On the one hand, on the basis of the unity of scientific method, Hempel admits a difference only in degree between the natural and the human sciences, but on the other hand, he draws a principled distinction between thought experiments of the human sciences (which have only a greater or lesser heuristic value) and those of the natural sciences (which may have also a cognitive-justificatory value). If one assumes the unity of method in the minimal sense in which no scientific knowledge can renounce intersubjective controllability, this tension can be removed either by rejecting the discovery/justification dichotomy or by interpreting it differently. Here, following the second path, two senses of the dichotomy are distinguished, one of which must be accepted, while the other rejected. This removes the internal tension in Hempel’s conception of thought experiments and suggests the thesis that any plausible thought experiment, both in the natural and the human sciences, must already contain some justification, implicit or explicit, of the theoretical hypotheses that they formulate. (shrink)