In this paper I examine the epistemic function of agent-based models of scientific inquiry, proposed in the recent philosophical literature. In view of Boero and Squazzoni’s classification of ABMs into case-based models, typifications and theoretical abstractions, I argue that proposed ABMs of scientific inquiry largely belong to the last category. While this means that their function is primarily exploratory, I suggest that they are epistemically valuable not only as a temporary stage in the development of ABMs (...) of science, but by providing insights into theoretical aspects of scientific rationality. I illustrate my point with two examples of highly idealized ABMs of science, which perform two exploratory functions: Zollman’s ABM which provides a proof-of-possibility in the realm of theoretical discussions on scientific rationality, and an argumentation-based ABM, which provides insights into potential mechanisms underlying the efficiency of scientific inquiry. (shrink)

_A Sceptical Theory of Scientific Inquiry: Problems and Their Progress_ presents a striking re-interpretation of Popper’s ‘critical rationalism’. Briskman stresses methodological argument rather than metaphysics, develops a ‘Popperian’ response to the Meno Paradox, and takes further Briskman’s approach to problems concerning creativity.

Scientific Inquiry: Readings in the Philosophy of Science features an impressive collection of classical and contemporary readings on a wide range of issues in the philosophy of science. The volume is organized into six sections, each with its own introduction, and includes a general introduction that situates the philosophy of science in relation to other areas of intellectual inquiry. The selections focus on the main issues in the field, including the structure of scientific theories, models of (...) scientific explanation, reductionism, historicist challenges to the objectivity of science, and the dispute over the ontological interpretation of mature scientific theories. Both the positivist model of science and its competitors, including contemporary social constructivist models, are included. Ideal for introductory philosophy of science courses, Scientific Inquiry strives to provide students and other readers with a thorough knowledge of the philosophical complexity of modern science and an appreciation of its authoritative intellectual standing in contemporary life. (shrink)

The purpose of this study is to gain a better understanding of the role of abstraction and idealization in Galileo’s scientific inquiries into the law of free falling motion, and their importance in the history of science. Because there is no consensus on the use of the terms “abstraction” and “idealization” in the literature, it is necessary to distinguish between them at the outset. This paper will argue for the importance of abstraction and idealization in physics and the theories (...) and laws of physics constructed with abduction from observations and that these theoretical laws of physics should be tested with deduction and induction thorough quasi-idealized entities rather than empirical results in the everyday world. Galileo’s work is linked to thought experiments in natural science. Galileo, using thought experiments based on idealization, persuaded others that what had been proven true for a ball on an inclined plane would be equally true for a ball falling through a vacuum. (shrink)

In philosophy of science, abstraction tends to be subsumed under representation, often being described as the omission of a target’s features when it is represented. This approach to abstraction sidesteps cognitive aspects of abstraction processes. However, cognitive aspects of abstraction are important in understanding the role of historically grounded epistemic criteria supporting modeling in science. Drawing on recent work on the relation between metaphor and abstraction, we introduce the concept of paths of abstraction, and use historical and contemporary examples to (...) point to their role in guiding the development of relevance criteria which support modeling strategies in science. (shrink)

Eric Martin and Daniel N. Osherson present a theory of inductive logic built on model theory. Their aim is to extend the mathematics of Formal Learning Theory to a more general setting and to provide a more accurate image of empirical inquiry. The formal results of their study illuminate aspects of scientific inquiry that are not covered by the commonly applied Bayesian approach.

The paper examines the integration of virtue epistemology into the philosophy of science, emphasizing its potential to deepen our understanding of scientific inquiry. The article begins by considering the limitations of traditional epistemological frameworks that focus on beliefs. The discussion is set in the context of the “value turn” in contemporary epistemology. Arguments are made to move towards recognizing the significance of intellectual virtues and the nature of epistemic agents. The current gaps in definitions of intellectual virtues about (...) reliabilist and responsibilist approaches are examined and conceptual steps are proposed to bridge these gaps. It is suggested that the local and general epistemic goals of science should be clearly distinguished and then different ways of knowing should be attributed to these goals. These ways of knowing are proposed to be seen as exemplifying the realization of reliable skills and intellectual character traits. In sum, the article argues that adopting a virtue epistemology not only enriches the discourse on scientific knowledge but also promotes a culture of responsibility and integrity in the scientific community. (shrink)

Formal models of scientific inquiry, aimed at capturing socio-epistemic aspects underlying the process of scientific research, have become an important method in formal social epistemology and philosophy of science. In this introduction to the special issue we provide a historical overview of the development of formal models of this kind and analyze their methodological contributions to discussions in philosophy of science. In particular, we show that their significance consists in different forms of ‘methodological iteration’ whereby the models (...) initiate new lines of inquiry, isolate and clarify problems with existing knowledge claims, and stimulate further research. (shrink)

Peirce claims that the methods of abduction, deduction and induction are jointly sufficient for the attainment of truth, regardless of the state of belief from which inquiry begins. This article summarizes Peirce’s defence of the thesis that the scientific method is self-corrective and addresses common mistakes in its interpretation.

This essay focuses on Charles S. Peirce’s grammar of representation and its relevance for a logical conception of scientific inquiry. Closely relying on Peirce’s writings, one of his important trichotomies of signs will be discussed in particular: that distinguishing between substitutive signs, or “semes”, informational signs, or “phemes”, and persuasive signs, or “delomes”. According to Peirce, these three categories of signs result from an extension of the traditional division between “terms”, “propositions”, and “arguments” to all signs, understood as (...) the foundational elements with and on which the scientific mind operates. It is shown that such an extended view of logic, conceived as a “semiotic”, or general doctrine of signs, is consistent with Peirce’s metaphysical views on truth and reality. Logic-as-semiotic, and its three corresponding branches of stecheotic, critic, and methodeutic, is thus conceived as a requisite normative trivium for the practice of scientific inquiry, whose purpose is to represent reality truthfully. In the end, we aim to remind that Peirce’s semiotic epistemology must necessarily be contextualized within the frame of his comprehensive philosophy of the scientific “settlement of opinion”. (shrink)

Deduction is important to scientific inquiry because it can extend knowledge efficiently, bypassing the need to investigate everything directly. The existence of closure failure—where one knows the premises and that the premises imply the conclusion but nevertheless does not know the conclusion—is a problem because it threatens this usage. It means that we cannot trust deduction for gaining new knowledge unless we can identify such cases ahead of time so as to avoid them. For philosophically engineered examples we (...) have “inner alarm bells” to detect closure failure, but in scientific investigation we would want to use deduction for extension of our knowledge to matters we don’t already know that we couldn’t know. Through a quantitative treatment of how fast probabilistic sensitivity is lost over steps of deduction, I identify a condition that guarantees that the growth of potential error will be gradual; thus, dramatic closure failure is avoided. Whether the condition is fulfilled is often obvious, but sometimes it requires substantive investigation. I illustrate that not only safe deduction but the discovery of dramatic closure failures can lead to scientific advances. (shrink)

To find more information on Rowman & Littlefield titles, please visit us at www.rowmanlittlefield.com.

Empirical inquiry involves the coevolution of predictive theory and descriptive language. Here we consider how one might model this coevolution using the tools of evolutionary game theory. We will see how subsequently evolved languages might exhibit semantic drift, invention, and discard. These evolutionary models also illustrate how subsequently evolved languages might be incommensurable yet nevertheless provide faithful descriptions of nature. Finally, we will consider how a model for the coevolution of predictive theory and descriptive language accounts for endogenous epistemic (...) norms. (shrink)

Science is a process of inquiry: a process of asking and answering questions. However, a good question is more than an interrogatory, and a good answer is more than information: there are logical constraints that dictate when a question is answerable and what qualifies as an answer. This paper will provide an understanding of when a question is answerable, when a question is not ready to be asked, when a question is trivial, what is required for a response to (...) be an answer, and what sequence of inquiry is required to identify an answer. Equipped with this understanding, a scientist can better determine an appropriate sequence of study for a research program as well as identify the necessary arguments to warrant claims of understanding, funding, and the publication of research findings. (shrink)

A Sceptical Theory of Scientific Inquiry: Problems and Their Progress presents a distinctive re-interpretation of Popper's 'critical rationalism', displaying the kind of spirit found at the L.S.E. before Popper's retirement. It offers an alternative to interpretations of critical rationalism which have emphasised the significance of research programmes or metaphysics (Lakatos; Nicholas Maxwell), and is closer to the approach of Jagdish Hattiangadi. Briskman gives priority to methodological argument rather than logical formalisms, and takes further his own work on creativity. (...) In addition to offering an important contribution to the understanding of critical rationalism, the book contains interesting engagements with Michael Polanyi and the Meno Paradox. This volume also contains an introduction by the editor, which situates Briskman's work in the history of the interpretation of 'critical rationalism'. (shrink)

lt is now commonplace in fallacy inquiry for many of the traditional informal fallacies to be viewed as reasonable or nonfallacious modes of argument. Central to this evaluative shift has been the attempt to examine traditional fallacies within their wider contexts of use. However, this pragmatic turn in fallacy evaluation is still in its infancy. The true potential of a contextual approach in the evaluation of the fallacies is yet to be explored. I examine how, in the context of (...) scientific inquiry, certain traditional fallacies function by conferring epistemic gains upon inquiry. Specifically, I argue that these fallacies facilitate the progression of inquiry, particularly in the initial stages ofinquiry when the epistemic context is one of uncertainty. The conception of these fallacies that emerges is that of heuristics of reasoning in contexts of epistemic uncertainty. (shrink)

The social epistemology of science has adopted agent-based computer simulations as one of its core methods for investigating the dynamics of scientific inquiry. The epistemic status of these highly idealized models is currently under active debate in which they are often associated either with predictive or the argumentative functions. These two functions roughly correspond to interpreting simulations as virtual experiments or formalized thought experiments, respectively. This paper advances the argumentative account of modeling by proposing that models serve as (...) a means to (re)conceptualize the macro-level dynamics of complex social epistemic interactions. I apply results from the epistemology of scientific modeling and the psychology of mental simulation to the ongoing debate in the social epistemology of science. Instead of considering simulation models as predictive devices, I view them as artifacts that exemplify abstract hypothetical properties of complex social epistemic processes in order to advance scientific understanding, hypothesis formation, and communication. Models need not be accurate representations to serve these purposes. They should be regarded as pragmatic cognitive tools that engender rather than replace intuitions in philosophical reasoning and argumentation. Furthermore, I aim to explain why the community tends to converge around few model templates: Since models have the potential to transform our intuitive comprehension of the subject of inquiry, successful models may literally capture the imagination of the modeling community. (shrink)

Intrinsic to rigorous knowledge of God is the recognition that positive theological concepts and statements about God arising under the compelling claims of God's reality upon the human mind must have an open revisable structure. A similar combination of critical realism and ontological openness is apparent in the profound change that has taken place in the rational structure of rigorous science from the radical dualism and closed causal system of classical mechanics to the unifying world view and open dynamic field‐theories (...) of modern physics. It is argued that the intersection of theological and natural science in their epis‐temological foundations can enhance their ontological commitment and heuristic thrust. (shrink)

What role should the expertise of the autistic communities play in shaping the category of autism compared to the role played by science? This question led to a debate about the quantitative importance of science compared to first-person perspectives for the understanding of autism. I see this debate as lying on a false dichotomy between science and activism, according to which only scientific inquiry would reveal the empirical nature of autism, while the discourse of autistic communities would construct (...) a socio-cultural conception of autism. I consider the problems associated with such a dichotomy and show that first-person perspectives should be considered a necessary step in the scientific investigation of autism. (shrink)

The ‘community of inquiry’ as formulated by C. S. Peirce is grounded in the notion of communities of discipline-based inquiry engaged in the construction of knowledge. The phrase ‘transforming the classroom into a community of inquiry’ is commonly understood as a pedagogical activity with a philosophical focus to guide classroom discussion. But it has a broader application. Integral to the method of the community of inquiry is the ability of the classroom teacher to actively engage in (...) the theories and practices of discipline-based communities of inquiry so as to become informed by the norms of the disciplines, not only to aspire to competence within the disciplines, but also to develop habits of self-correction for reconstructing those same norms when faced with novel problems and solutions, including those in the classroom. This has implications for science education and the role of educational philosophy in developing students' ability to think scientifically. But it also has broader implications for thinking critically within all key learning areas. Here we concentrate on science education. We present the parallels between philosophical inquiry and scientific inquiry that need to be realised to promote and engage with scientific inquiry in the classroom. We also discuss the conflicts between philosophical inquiry and the way inquiry science in the classroom is portrayed in the education literature. Based on philosophical and historical perceptions of science as inquiry, a practical approach to implementation of scientific inquiry in the science classroom is presented. (shrink)

What can we, as a society, legitimately expect from science? And what, if anything, can science legitimately expect from society? This paper argues that the relationship between science and society is governed by a science contract. I first introduce the notion of an expertise contract—a social contract that governs the relationship between experts and non-experts, bestows on experts certain fiduciary duties towards non-experts, and enables the division of epistemic labor in society. I then argue that the science contract cannot be (...) simply identified with the expertise contract as it applies to scientific experts but requires at least two modifications in order to reflect the global nature of science and the role of scientists as researchers. I conclude with some remarks about public trust in science and a non-ideal theory of the scientific contract. (shrink)

Is methodological theory a priori or a posteriori knowledge? It is perhaps a posteriori improvable, somehow. For example, Duhem discovered that since scientists disagree on methods, they do not always know what they are doing. How is methodological innovation possible? If it is inapplicable in retrospect, then it is not universal and so seems defective; if it is, then there is a miracle here. Even so, the new explicit awareness of rules previously implicitly known is in itself beneficial. And so, (...) improved methodology may make for improved methods. Hence, methodology is in part descriptive, in part prescriptive. Knowing this, a methodologist might improve his own studies. For example, Popper would then not hasten to conclude from the fact that past scientists depended on positive evidence that they had better do so in future as well; perhaps a lesser concern with confirmation may increase the productivity of scientific inquiry. (shrink)

Although nature of science and nature of scientific inquiry are related to each other, they are differentiated as NOS is being more related to the product of scientific inquiry which is scientific knowledge whereas NOSI is more related to the process of SI. Lederman et al. determined eight NOSI aspects for K-16 context. In this study, a science camp was conducted to teach scientific inquiry and NOSI to 24 6th and 7th graders. The (...) core of the program was guided inquiry in nature. The children working in small groups under guidance of science advisors conducted four guided-inquiries in the nature in morning sessions on nearby plants, animals, water, and soil. NOSI aspects were made explicit during and at the end of each inquiry session. Views about scientific inquiry questionnaire was applied as pre- and post-test. The results of the study showed that children developed in all eight NOSI aspects, but higher developments were observed in “scientific investigations all begin with a question” and “there is no single scientific method,” and “explanations are developed from data and what is already known” aspects. It was concluded that the science camp program was effective in teaching NOSI. (shrink)

The chapter delivers a biref description of Derrida's critique of the metaphisics of presence and shows its relevant implications for scientific inquiry. It is shown that the deconstruction of the concept of Being as a trascendental signifier is consistent with the scientific use of operational definitions that simplify the complexity of real world phenomena through the use of unrealistic assumptions. The argument reaches two main conclusions. First, the deconstruction of the trascendental signifier entails that unrealistic assuptions do (...) not have a metaphysical status and they can change in accordance with the specific purposes of scientific inquiry. Second, the decostrustionistic framework implies that scientific analysis can asymptotically approximate the target phenomenon without reaching a full correspondence with it. These results are illustrated through the example of economic analysis of individual behaviour. (shrink)

I distinguish among a range of distinct representational devices, which I call "frames", all of which have the function of providing a perspective on a subject: an overarching intuitive principle or for noticing, explaining, and responding to it. Starting with Max Black's metaphor of metaphor as etched lines on smoked glass, I explain what makes frames in general powerful cognitive tools. I distinguish metaphor from some of its close cousins, especially telling details, just-so stories, and analogies, in ordinary cognition and (...) communication. And I use these distinctions to illustrate different sorts of gaps that frames or models can open up between representation and reality. (shrink)

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

Recent studies of scientific interaction based on agent-based models suggest that a crucial factor conducive to efficient inquiry is what Zollman has dubbed ‘transient diversity’. It signifies a process in which a community engages in parallel exploration of rivaling theories lasting sufficiently long for the community to identify the best theory and to converge on it. But what exactly generates transient diversity? And is transient diversity a decisive factor when it comes to the efficiency of inquiry? In (...) this paper we examine the impact of different conditions on the efficiency of inquiry, as well as the relation between diversity and efficiency. This includes certain diversity-generating mechanisms previously proposed in the literature, as well as some factors that have so far been neglected. This study is obtained via an argumentation-based ABM. Our results suggest that cautious decision-making does not always have a significant impact on the efficiency of inquiry while different evaluations underlying theory-choice and different social networks do. Moreover, we find a correlation between diversity and a successful performance of agents only under specific conditions, which indicates that transient diversity is sometimes not the primary factor responsible for efficiency. Altogether, when comparing our results to those obtained by structurally different ABMs based on Zollman’s work, the impact of specific factors on efficiency of inquiry, as well as the role of transient diversity in achieving efficiency, appear to be highly dependent on the underlying model. (shrink)

How should emotions figure in scientific practice? I begin by distinguishing three broad answers to this question, ranging from pessimistic to optimistic. Confirmation bias and motivated numeracy lead us to cast a jaundiced eye on the role of emotions in scientific inquiry. However, reflection on the essential motivating role of emotions in geniuses makes it less clear that science should be evacuated of emotion. I then draw on Friedrich Nietzsche’s perspectivism to articulate a twenty-first century epistemology of (...) science that recognizes the necessity of emotion to inquiry but aims to manage the biases that emotions can introduce. Twenty-first century perspectivism is both social and (temporally) distal, helping it to overcome a paradox of self-critical inquiry. (shrink)

The inductive reliability of Bayesian methods is explored. The first result presented shows that for any solvable inductive problem of a general type, there exists a subjective prior which yields a Bayesian inductive method that solves the problem, although not all subjective priors give rise to a successful inductive method for the problem. The second result shows that the same does not hold for computationally bounded agents, so that Bayesianism is "inductively incomplete" for such agents. Finally a consistency proof shows (...) that inductive agents do not need to disregard inductive failure on sets of subjective probability 0 in order to be ideally rational. Together the results reveal the inadequacy of the subjective Bayesian norms for scientific methodology. (shrink)

In Science, Truth and Democracy, Philip Kitcher has argued that science ought to meet both the epistemic goals of significant truth and the nonepistemic goals of serving the interests of a democratic society. He opposes this science as servant model to both the theology of science as source of salvific truth and the theology of science as anti-Christ. In a recent critical comment, Paul A. Roth argues that Kitcher remains entangled in the theology of salvific truth, not realizing that its (...) goal is either vacuous or unattainable. Instead of theologies, Roth proposes demythologization. In the end, science attains neither truth nor value, for these goals are incomprehensible and unattainable. Consequently, science’s goals are entirely pedestrian and without special interest. Adopting Kitcher’s own scientific naturalistic epistemology, the author argues for a naturalized theology of science, using a science as mediator model, in which both nature and scientist have a role in the acquisition of significant truth. (shrink)

This study recapitulates basic developments in the tradition of hermeneutic and phenomenological studies of science. It focuses on the ways in which scientific research is committed to the universe of interpretative phenomena. It treats scientific research by addressing its characteristic hermeneutic situations, and uses the following basic argument in this treatment: By demonstrating that science's epistemological identity is not to be spelled out in terms of objectivism, mathematical essentialism, representationalism, and foundationalism, one undermines scientism without succumbing scientific (...) research to "procedures of normative-democratic control" that threaten science's cognitive autonomy. The study shows that in contrast to social constructivism, hermeneutic phenomenology of scientific research makes the case that overcoming scientism does not imply restrictive policies regarding the constitution of scientific objects. (shrink)

Might traditional Chinese thought regarding creativity not just influence, but also enrich, contemporary European thought about the same? Moreover, is it possible that traditional Chinese thought regarding creativity might enrich contemporary thought both in a more broad, holistic sense, and more specifically regarding the nature and role of creativity as it pertains to scientific inquiry? In this paper, I elucidate why the answer to these questions is: yes. I explain in detail a classical Chinese conception of creativity rooted (...) in Zhuangist philosophy and which centrally involves spontaneity engendered by embracing yóu遊, or “wandering”, rather than novelty or originality. I then illustrate how this conception of creativity can be used to enrich contemporary thought regarding the nature and role of creativity both in general and as it pertains to scientific inquiry in particular, as well as how to engender creativity, by arguing that it might allow us to: i) more easily remove what is frequently an obstacle to creativity, and; ii) better understand creative agents as being more intimately connected with, and as processes within and products of, their environments. Finally, I conclude by briefly remarking on how exploring various cultural perspectives on creativity promises to help us to better comprehend and promote creativity, by encouraging us to become more creative about creativity itself. (shrink)

Images are objects of work in the laboratory. On its face, this work is achieved through talk Yet the talk attached to these images makes reference to other images, which are drawn from varcous environments. In this article, four such environments are identified: the domain of laboratory practice; the context of invisible physical reactions; the future image as it will appear in publication; and the domain of case precedents and reference scenarios from the field. The work of image analysis brings (...) the outside of the image into it and takes the inside out. Thus it can be seen that images are not just taken, they are designed and made. (shrink)

Researchers misunderstand their role in creating ethical problems when they allow dogmas to purportedly divorce scientists and scientific practices from the values that they embody. Cortina, Edwards, and Powell help us clarify and further develop our position by responding to our critique of, and alternatives to, this misleading separation. In this rebuttal, we explore how the desire to achieve the separation of facts and values is unscientific on the very terms endorsed by its advocates—this separation is refuted by empirical (...) observation. We show that positivists like Cortina and Edwards offer no rigorous theoretical or empirical justifications to substantiate their claims, let alone critique ours. Following Powell, we point to how classical pragmatism understands ‘purpose’ in scientific pursuits while also providing an alternative to the dogmas of positivism and related philosophical positions. In place of dogmatic, unscientific cries about an abstract and therefore always-unobservable ‘reality,’ we invite all organizational scholars to join us in shifting the discussion about quantitative research towards empirically grounded scientific inquiry. This makes the ethics of actual people and their practices central to quantitative research, including the thoughts, discourses, and behaviors of researchers who are always in particular places doing particular things. We propose that quantitative researchers can thus start to think about their research practices as a kind of work, rather than having the status of a kind of dogma. We conclude with some implications that this has for future research and education, including the relevance of research and research methods. (shrink)

This is an important book precisely because there is none other quite like it.

Current fears of a “reproducibility crisis” have led researchers, sources of scientific funding, and the public to question both the efficacy and trustworthiness of science. Suggested policy changes have been focused on statistical problems, such as p-hacking, and issues of experimental design and execution. However, “reproducibility” is a broad concept that includes a number of issues. Furthermore, reproducibility failures occur even in fields such as mathematics or computer science that do not have statistical problems or issues with experimental design. (...) Most importantly, these proposed policy changes ignore a core feature of the process of scientific inquiry that occurs after reproducibility failures: the integration of conflicting observations and ideas into a coherent theory. (shrink)

This brief sets out on a course to distinguish three main kinds of thought that underlie scientific thinking. Current science has not agreed on an understanding of what exactly the aim of science actually is, how to understand scientific knowledge, and how such knowledge can be achieved. Furthermore, no science today also explicitly admits the fact that knowledge can be constructed in different ways and therefore every scientist should be able to recognize the form of thought that under-girds (...) their understanding of scientific theory. In response to this, this texts seeks to answer the questions: What is science? What is explanation? What is causality and why it matters? Science is a way to find new knowledge. The way we think about the world constrains the aspects of it we can understand. Scientists, the author suggests, should engage in a metacognitive perspective on scientific theory that reflects not only what exists in the world, but also the way the scientist thinks about the world. (shrink)