8,219 research outputs found

    Exploring Scientific Inquiry via Agent-Based Modeling

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    In this paper I examine the epistemic function of agent-based models (ABMs) of scientific inquiry, proposed in the recent philosophical literature. In view of Boero and Squazzoni's (2005) classification of ABMs into case-based models, typifications and theoretical abstractions, I argue that proposed ABMs of scientific inquiry largely belong to the third 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 (2010) ABM which provides a proof-of-possibility in the realm of theoretical discussions on scientific rationality, and ArgABM (Borg et al., 2017b, 2018a,b), which provides insights into potential mechanisms underlying the efficiency of scientific inquiry

    Supporting peer interaction in online learning environments

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    This paper reports two studies into the efficacy of sentence openers to foster online peer-to-peer interaction. Sentence openers are pre-defined ways to start an utterance that are implemented in communication facilities as menu’s or buttons. In the first study, typical opening phrases were derived from naturally occurring online dialogues. The resulting set of sentence openers was implemented in a semi-structured chat tool that allowed students to compose messages in a freetext area or via sentence openers. In the second study, this tool was used to explore the students’ appreciation and unprompted use of sentence openers. Results indicate that students hardly used sentence openers and were skeptical of their usefulness. Because both measures were negatively correlated with students’ prior chat experience, optional use of sentence openers may not be the best way to support students’ online interaction. Based on these findings, alternative ways of using sentence openers are discussed and topics for further research are advanced

    What Is the Epistemic Function of Highly Idealized Agent-Based Models of Scientific Inquiry?

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    In this paper we examine the epistemic value of highly idealized agent-based models (ABMs) 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

    Agent-Based Models and Simulations in Economics and Social Sciences: from conceptual exploration to distinct ways of experimenting

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    Now that complex Agent-Based Models and computer simulations spread over economics and social sciences - as in most sciences of complex systems -, epistemological puzzles (re)emerge. We introduce new epistemological tools so as to show to what precise extent each author is right when he focuses on some empirical, instrumental or conceptual significance of his model or simulation. By distinguishing between models and simulations, between types of models, between types of computer simulations and between types of empiricity, section 2 gives conceptual tools to explain the rationale of the diverse epistemological positions presented in section 1. Finally, we claim that a careful attention to the real multiplicity of denotational powers of symbols at stake and then to the implicit routes of references operated by models and computer simulations is necessary to determine, in each case, the proper epistemic status and credibility of a given model and/or simulation

    The Kuhnian mode of HPS

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    In this article I argue that a methodological challenge to an integrated history and philosophy of science approach put forth by Ron Giere almost forty years ago can be met by what I call the Kuhnian mode of History and Philosophy of Science (HPS). Although in the Kuhnian mode of HPS norms about science are motivated by historical facts about scientific practice, the justifiers of the constructed norms are not historical facts. The Kuhnian mode of HPS therefore evades the naturalistic fallacy which Giere’s challenge is a version of. Against the backdrop of a discussion of Laudan’s normative naturalism I argue that the Kuhnian mode of HPS is a superior form of naturalism which establishes contact to the practice of science without making itself dependent on its contingencies

    The written production of argumentative and dissertation text: a didactic project based on Bakhtin's philosophy

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    This article is characterized as a theoretical and practical research related to a project developed during the year 2015 in two schools - one public, the other private- , in the city of Birigui, State of São Paulo, Brazil. The main goal of the study was to analyze: the pedagogical project and the teachers’ activities oriented towards teaching and learning of argumentative and dissertation texts. The methodology used in this research comprised: (i) visiting both schools, (ii) producing a description of ongoing school practices, with focus on the teaching of argumentative and dissertation texts, (iii) suggesting a teacher’s activity to improve this apprenticeship, (iv) putting this activity into practice and (v) analyzing obtained results. The theoretical framework used for this study was the Bakhtinian philosophy (BAKHTIN, 2013; 2006a; 2006b; 2006c; 2006d; 2010; 2013; VOLOSHINOV, 1986). This theoretical approach was chosen due to the importance of comprehension of the text not just as an amalgamated set of words, phrases and paragraphs; other than that, we understand it as a structure of meaning, in which we encounter linguistic forms, ideologies and discursive stance. At last, we can say the results show that the argumentative texts render assistance to the development of the students’ argumentative competence and skill, that is, in their ability to argue and organize ideas in a communicative situation

    Argumentative Landscapes: The Functions of Models in Social Epistemology

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    We argue that the appraisal of models in social epistemology requires conceiving of them as argumentative devices, taking into account the argumentative context and adopting a family-of-models perspective. We draw up such an account and show how it makes it easier to see the value and limits of the use of models in social epistemology. To illustrate our points, we document and explicate the argumentative role of epistemic landscape models in social epistemology and highlight their limitations. We also claim that our account could be fruitfully used in appraising other models in philosophy and science
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