Results for 'Modeling'

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  1. Michael Wooldridge.Modeling Distributed Artificial - 1996 - In N. Jennings & G. O'Hare, Foundations of Distributed Artificial Intelligence. Wiley. pp. 269.
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  2.  85
    Modelling populations: Pearson and Fisher on mendelism and biometry.Margaret Morrison - 2002 - British Journal for the Philosophy of Science 53 (1):39-68.
    The debate between the Mendelians and the (largely Darwinian) biometricians has been referred to by R. A. Fisher as ‘one of the most needless controversies in the history of science’ and by David Hull as ‘an explicable embarrassment’. The literature on this topic consists mainly of explaining why the controversy occurred and what factors prevented it from being resolved. Regrettably, little or no mention is made of the issues that figured in its resolution. This paper deals with the latter topic (...)
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  3. Modelling cultural evolution.Richard McElreath & Joseph Henrich - 2009 - In Robin Dunbar & Louise Barrett, Oxford Handbook of Evolutionary Psychology. Oxford, GB: Oxford University Press.
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  4. Modelling and representing: An artefactual approach to model-based representation.Tarja Knuuttila - 2011 - Studies in History and Philosophy of Science Part A 42 (2):262-271.
    The recent discussion on scientific representation has focused on models and their relationship to the real world. It has been assumed that models give us knowledge because they represent their supposed real target systems. However, here agreement among philosophers of science has tended to end as they have presented widely different views on how representation should be understood. I will argue that the traditional representational approach is too limiting as regards the epistemic value of modelling given the focus on the (...)
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  5.  13
    Probabilistic modelling of microtiming perception.Thomas Kaplan, Lorenzo Jamone & Marcus Pearce - 2023 - Cognition 239 (C):105532.
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  6. Modelling in Normative Ethics.Joe Roussos - 2022 - Ethical Theory and Moral Practice (5):1-25.
    This is a paper about the methodology of normative ethics. I claim that much work in normative ethics can be interpreted as modelling, the form of inquiry familiar from science, involving idealised representations. I begin with the anti-theory debate in ethics, and note that the debate utilises the vocabulary of scientific theories without recognising the role models play in science. I characterise modelling, and show that work with these characteristics is common in ethics. This establishes the plausibility of my interpretation. (...)
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  7. Modelling mechanisms with causal cycles.Brendan Clarke, Bert Leuridan & Jon Williamson - 2014 - Synthese 191 (8):1-31.
    Mechanistic philosophy of science views a large part of scientific activity as engaged in modelling mechanisms. While science textbooks tend to offer qualitative models of mechanisms, there is increasing demand for models from which one can draw quantitative predictions and explanations. Casini et al. (Theoria 26(1):5–33, 2011) put forward the Recursive Bayesian Networks (RBN) formalism as well suited to this end. The RBN formalism is an extension of the standard Bayesian net formalism, an extension that allows for modelling the hierarchical (...)
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  8. Cognitive modelling of second language acquisition.Maria Dakowska - 1997 - Communication and Cognition. Monographies 30 (1-2):29-54.
     
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  9.  68
    Modelling Efficient Team Structures in Biology.Vlasta Sikimić & Ole Herud-Sikimić - 2022 - Journal of Logic and Computation.
    We used agent-based modelling to highlight the advantages and disadvantages of several management styles in biology, ranging from centralized to egalitarian ones. In egalitarian groups, all team members are connected with each other, while in centralized ones, they are only connected with the principal investigator. Our model incorporated time constraints, which negatively influenced weakly connected groups such as centralized ones. Moreover, our results show that egalitarian groups outperform others if the questions addressed are relatively simple or when the communication among (...)
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  10.  54
    Modelling the emergence and dynamics of social and workplace segregation.Mohamed Abdou & Nigel Gilbert - 2009 - Mind and Society 8 (2):173-191.
    The relationship between social segregation and workplace segregation has been traditionally studied as a one-way causal relationship mediated by referral hiring. In this paper we introduce an alternative framework which describes the dynamic relationships between social segregation, workplace segregation, individuals’ homophily levels, and referral hiring. An agent-based simulation model was developed based on this framework. The model describes the process of continuous change in composition of workplaces and social networks of agents, and how this process affects levels of workplace segregation (...)
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  11. Connectionist modelling in psychology: A localist manifesto.Mike Page - 2000 - Behavioral and Brain Sciences 23 (4):443-467.
    Over the last decade, fully distributed models have become dominant in connectionist psychological modelling, whereas the virtues of localist models have been underestimated. This target article illustrates some of the benefits of localist modelling. Localist models are characterized by the presence of localist representations rather than the absence of distributed representations. A generalized localist model is proposed that exhibits many of the properties of fully distributed models. It can be applied to a number of problems that are difficult for fully (...)
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  12. Modelling Values and Virtues: An Integrated Approach to Ethics Teaching.Rick Benitez - 2009 - In Proceedings of the 7th International Hawaii Conference on Arts and Humanities.
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  13.  23
    Elicitation and modelling of imprecise utility of health states.Michał Jakubczyk & Dominik Golicki - 2020 - Theory and Decision 88 (1):51-71.
    Utilities of health states are often estimated to support public decisions in health care. People’s preferences may be imprecise, for lack of actual trade-off experience. We show how to elicit the utilities accounting for imprecision, discover the main drivers of imprecision, and compare several approaches to modelling health state utility data in the fuzzy setting. We extended the time trade-off questionnaire, to elicit utilities of states defined in the EQ-5D-3L descriptive system in184 respondents. Our study demonstrates that respondents are capable (...)
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  14. Modelling as Indirect Representation? The Lotka–Volterra Model Revisited.Tarja Knuuttila & Andrea Loettgers - 2017 - British Journal for the Philosophy of Science 68 (4):1007-1036.
    ABSTRACT Is there something specific about modelling that distinguishes it from many other theoretical endeavours? We consider Michael Weisberg’s thesis that modelling is a form of indirect representation through a close examination of the historical roots of the Lotka–Volterra model. While Weisberg discusses only Volterra’s work, we also study Lotka’s very different design of the Lotka–Volterra model. We will argue that while there are elements of indirect representation in both Volterra’s and Lotka’s modelling approaches, they are largely due to two (...)
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  15. Modelling the whole brain in action.J. Wright - 2000 - In Evian Gordon, Integrative Neuroscience: Bringing Together Biological, Psychological and Clinical Models of the Human Brain. Harwood Academic Publishers.
     
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  16. Modelling with words: Narrative and natural selection.Dominic K. Dimech - 2017 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 62:20-24.
    I argue that verbal models should be included in a philosophical account of the scientific practice of modelling. Weisberg (2013) has directly opposed this thesis on the grounds that verbal structures, if they are used in science, only merely describe models. I look at examples from Darwin's On the Origin of Species (1859) of verbally constructed narratives that I claim model the general phenomenon of evolution by natural selection. In each of the cases I look at, a particular scenario is (...)
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  17.  95
    Computational Modelling of Culture and Affect.Ruth Aylett & Ana Paiva - 2012 - Emotion Review 4 (3):253-263.
    This article discusses work on implementing emotional and cultural models into synthetic graphical characters. An architecture, FAtiMA, implemented first in the antibullying application FearNot! and then extended as FAtiMA-PSI in the cultural-sensitivity application ORIENT, is discussed. We discuss the modelling relationships between culture, social interaction, and cognitive appraisal. Integrating a lower level homeostatically based model is also considered as a means of handling some of the limitations of a purely symbolic approach. Evaluation to date is summarised and future directions discussed.
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  18.  79
    Contested modelling: The case of economics.Uskali Mäki - 2013 - In Ulrich Gähde, Stephan Hartmann & Jörn Henning Wolf, Models, Simulations, and the Reduction of Complexity. Boston: De Gruyter. pp. 87-106.
    Economics is a culturally and politically powerful and contested discipline, and it has been that way as long as it has existed. For some commentators, economics is the "queen of the social sciences", while others view it as a "dismal science" (and both of these epithets allow for diverse interpretations; see Mäki 2002). Economics is also a discipline that deals with a dynamically complex subject matter and has a tradition of reducing this complexity by using systematic procedures of simplification. Nowadays, (...)
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  19.  66
    Modelling Nature. An Opinionated Introduction to Scientific Representation.Roman Frigg & James Nguyen - 2020 - New York:
    This monograph offers a critical introduction to current theories of how scientific models represent their target systems. Representation is important because it allows scientists to study a model to discover features of reality. The authors provide a map of the conceptual landscape surrounding the issue of scientific representation, arguing that it consists of multiple intertwined problems. They provide an encyclopaedic overview of existing attempts to answer these questions, and they assess their strengths and weaknesses. The book also presents a comprehensive (...)
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  20.  41
    Systemic Modelling in Bioethics.Henri-Corto Stoeklé, Philippe Charlier, Marie-France Mamzer-Bruneel, Christian Hervé & Guillaume Vogt - 2020 - The New Bioethics 26 (3):197-209.
    We present here a new method for bioethics: systemic modelling. In this method, the complex phenomenon being studied (e.g. personalized medicine, genetic testing, gene therapy, genetically modified organisms) is modelled as a whole, to shed light on its organization and functioning, and major (bio)ethical issues and solutions for their resolution are then identified. This systemic modelling method is ideal for use in the identification of solutions, rather than their validation, with other methods then used to test the solutions found. We (...)
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  21.  76
    Modelling Abduction in Science by means of a Modal Adaptive Logic.Tjerk Gauderis - 2013 - Foundations of Science 18 (4):611-624.
    Scientists confronted with multiple explanatory hypotheses as a result of their abductive inferences, generally want to reason further on the different hypotheses one by one. This paper presents a modal adaptive logic MLA s that enables us to model abduction in such a way that the different explanatory hypotheses can be derived individually. This modelling is illustrated with a case study on the different hypotheses on the origin of the Moon.
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  22.  39
    Modelling the context of learning interactions in intelligent learning environments.Fabio N. Akhras - 2001 - In P. Bouquet V. Akman, Modeling and Using Context. Springer. pp. 1--14.
  23. Economic Modelling as Robustness Analysis.Jaakko Kuorikoski, Aki Lehtinen & Caterina Marchionni - 2010 - British Journal for the Philosophy of Science 61 (3):541-567.
    We claim that the process of theoretical model refinement in economics is best characterised as robustness analysis: the systematic examination of the robustness of modelling results with respect to particular modelling assumptions. We argue that this practise has epistemic value by extending William Wimsatt's account of robustness analysis as triangulation via independent means of determination. For economists robustness analysis is a crucial methodological strategy because their models are often based on idealisations and abstractions, and it is usually difficult to tell (...)
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  24.  32
    Modelling plasticity of Ni3Al-based L12intermetallic single crystals. II. Two-step deformation behaviour.Y. S. Choi, D. M. Dimiduk, M. D. Uchic & T. A. Parthasarathy - 2007 - Philosophical Magazine 87 (30):4759-4775.
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  25. Quantum Causal Modelling.Fabio Costa & Sally Shrapnel - 2016 - New Journal of Physics 18 (6):063032.
    Causal modelling provides a powerful set of tools for identifying causal structure from observed correlations. It is well known that such techniques fail for quantum systems, unless one introduces 'spooky' hidden mechanisms. Whether one can produce a genuinely quantum framework in order to discover causal structure remains an open question. Here we introduce a new framework for quantum causal modelling that allows for the discovery of causal structure. We define quantum analogues for core features of classical causal modelling techniques, including (...)
     
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  26. Modelling Inequality.Karim Thébault, Seamus Bradley & Alexander Reutlinger - 2016 - British Journal for the Philosophy of Science 69 (3):691-718.
    Econophysics is a new and exciting cross-disciplinary research field that applies models and modelling techniques from statistical physics to economic systems. It is not, however, without its critics: prominent figures in more mainstream economic theory have criticized some elements of the methodology of econophysics. One of the main lines of criticism concerns the nature of the modelling assumptions and idealizations involved, and a particular target are ‘kinetic exchange’ approaches used to model the emergence of inequality within the distribution of individual (...)
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  27.  12
    Modelling cyclic causal structures.Alexander Gebharter & Bert Leuridan - 2024 - In Federica Russo & Phyllis Illari, The Routledge handbook of causality and causal methods. New York, NY: pp. 269-280.
    Many causal systems studied by sciences such as biology, pharmacology, and economics feature causal cycles. Most accounts of causal modelling currently on the market are, however, explicitly designed to study acyclic structures. This chapter focuses on causal cycles and the challenges such cycles pose for causal modelling. First, we distinguish between different types of causal cycles. Then we introduce causal models and discuss a selection of general challenges for cyclic models when it comes to representation, prediction, and causal discovery. Finally, (...)
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  28. Modelling vagueness: what can we ignore?Rosanna Keefe - 2012 - Philosophical Studies 161 (3):453-470.
    A theory of vagueness gives a model of vague language and of reasoning within the language. Among the models that have been offered are Degree Theorists’ numerical models that assign values between 0 and 1 to sentences, rather than simply modelling sentences as true or false. In this paper, I ask whether we can benefit from employing a rich, well-understood numerical framework, while ignoring those aspects of it that impute a level of mathematical precision that is not present in the (...)
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  29.  49
    Modelling and simulating early stopping of RCTs: a case study of early stop due to harm.Roger Stanev - 2012 - Journal of Experimental and Theoretical Artificial Intelligence 24 (4):513-526.
    Despite efforts from regulatory agencies (e.g. NIH, FDA), recent systematic reviews of randomised controlled trials (RCTs) show that top medical journals continue to publish trials without requiring authors to report details for readers to evaluate early stopping decisions carefully. This article presents a systematic way of modelling and simulating interim monitoring decisions of RCTs. By taking an approach that is both general and rigorous, the proposed framework models and evaluates early stopping decisions of RCTs based on a clear and consistent (...)
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  30.  46
    Modelling Religious Signalling.Carl Brusse - 2019 - Dissertation, Australian National University
    The origins of human social cooperation confound simple evolutionary explanation. But from Darwin and Durkheim onward, theorists (anthropologists and sociologists especially) have posited a potential link with another curious and distinctively human social trait that cries out for explanation: religion. This dissertation explores one contemporary theory of the co-evolution of religion and human social cooperation: the signalling theory of religion, or religious signalling theory (RST). According to the signalling theory, participation in social religion (and its associated rituals and sanctions) acts (...)
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  31. Reciprocal modelling of active perception of 2-d forms in a simple tactile-vision substitution system.John Stewart & Olivier Gapenne - 2004 - Minds and Machines 14 (3):309-330.
    The strategies of action employed by a human subject in order to perceive simple 2-D forms on the basis of tactile sensory feedback have been modelled by an explicit computer algorithm. The modelling process has been constrained and informed by the capacity of human subjects both to consciously describe their own strategies, and to apply explicit strategies; thus, the strategies effectively employed by the human subject have been influenced by the modelling process itself. On this basis, good qualitative and semi-quantitative (...)
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  32. Modelling Change in Individual Characteristics: An Axiomatic Framework.Franz Dietrich - 2012 - Games and Economic Behavior 76 (5):471-94.
    Economic models describe individuals in terms of underlying characteristics, such as taste for some good, sympathy level for another player, time discount rate, risk attitude, and so on. In real life, such characteristics change through experiences: taste for Mozart changes through listening to it, sympathy for another player through observing his moves, and so on. Models typically ignore change, not just for simplicity but also because it is unclear how to incorporate change. I introduce a general axiomatic framework for defining, (...)
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  33.  88
    Climate Modelling: Philosophical and Conceptual Issues.Elisabeth A. Lloyd & Eric Winsberg (eds.) - 2018
    1. Introduction; Elisabeth A. Lloyd and Eric Winsberg.- Section 1: Confirmation and Evidence.- 2. The Scientific Consensus on Climate Change: How Do We Know We’re Not Wrong?; Naomi Oreskes.- 3. Satellite Data and Climate Models Redux.- 3a. Introduction to Chapter 3: Satellite Data and Climate Models; Elisabeth A. Lloyd.- Ch. 3b Fact Sheet to "Consistency of Modelled and Observed Temperature Trends in the Tropical Troposphere"; Benjamin D. Santer et al..- Ch. 3c Reprint of "Consistency of Modelled and Observed Temperature Trends (...)
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  34. Modelling Extended Extragalactic Radio Sources.Daniela M. Bailer-Jones - 2000 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 31 (1):49-74.
    This paper examines the process of modelling a complex empirical phenomenon in modern astrophysics: extended extragalactic radio sources. I show that modelling is done piecemeal, addressing selected striking or puzzling features of that phenomenon separately and individually. The result is various independent and separate sub-models concerned only with limited aspects of the same phenomenon. Because the sub-models represent features of the same physical phenomenon, they need to be reasonably consistent with each other - a criterion not always fully adhered to (...)
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  35.  45
    Participatory Modelling and the Local Governance of the Politics of UK Air Pollution: A Three-City Case Study.Steve Yearley, Steve Cinderby, John Forrester, Peter Bailey & Paul Rosen - 2003 - Environmental Values 12 (2):247-262.
    In the last decade, many arguments have emerged for encouraging public participation in environmental policy making and management While some have argued that, in democratic societies, people simply have a right to a participatory role, others base arguments for public participation on the idea that lay people may have access to knowledge which is unknown to officially sanctioned experts. Local people may count as experts about aspects of their neighbourhood or they may have insights into the behaviour of plant operators (...)
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  36. (1 other version)Normative Formal Epistemology as Modelling.Joe Roussos - forthcoming - The British Journal for the Philosophy of Science.
    I argue that normative formal epistemology (NFE) is best understood as modelling, in the sense that this is the reconstruction of its methodology on which NFE is doing best. I focus on Bayesianism and show that it has the characteristics of modelling. But modelling is a scientific enterprise, while NFE is normative. I thus develop an account of normative models on which they are idealised representations put to normative purposes. Normative assumptions, such as the transitivity of comparative credence, are characterised (...)
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  37. Analytical Modelling and UK Government Policy.Marie Oldfield - 2021 - AI and Ethics 1 (1):1-16.
    In the last decade, the UK Government has attempted to implement improved processes and procedures in modelling and analysis in response to the Laidlaw report of 2012 and the Macpherson review of 2013. The Laidlaw report was commissioned after failings during the Intercity West Coast Rail (ICWC) Franchise procurement exercise by the Department for Transport (DfT) that led to a legal challenge of the analytical models used within the exercise. The Macpherson review looked into the quality assurance of Government analytical (...)
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  38.  30
    Disease modelling using induced pluripotent stem cells: Status and prospects.Oz Pomp & Alan Colman - 2013 - Bioessays 35 (3):271-280.
    The ability to convert human somatic cells into induced pluripotent stem cells (iPSCs) is allowing the production of custom‐tailored cells for drug discovery and for the study of disease phenotypes at the cellular and molecular level. IPSCs have been derived from patients suffering from a large variety of disorders with different severities. In many cases, disease related phenotypes have been observed in iPSCs or their lineage‐specific progeny. Several proof of concept studies have demonstrated that these phenotypes can be reversed in (...)
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  39. Modelling Thought Versus Modelling the Brain.Orly Shenker - 2024 - Human Arenas 1 (1):1.
    What is the connection between modelling thought and modelling the brain? In a model (as understood here), we strip away from the modelled system some non-essential features and retain some essential ones. What are the essential features of thought that are to be re- tained in the model, and conversely, what are its inessential features, that may be stripped away in the model? According to a prevalent view in contemporary science and philoso- phy, thought is a computation, and therefore its (...)
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  40.  68
    Modelling criteria: Not just for robots.George N. Reeke - 2001 - Behavioral and Brain Sciences 24 (6):1074-1075.
    Webb's scheme for classifying behavioral models is applicable to a wide range of theories and simulations, nonrobotic as well as robotic. It is suggested that a meta-analysis of existing models, characterized according to the proposed scheme, could identify regions of the seven-dimensional modelling space that are particularly likely to lead to new insights in understanding behavior.
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  41.  42
    Symptom modelling can be influenced by psychiatric categories: choices for research domain criteria.Sam Fellowes - 2017 - Theoretical Medicine and Bioethics 38 (4):279-294.
    Psychiatric researchers typically assume that the modelling of psychiatric symptoms is not influenced by psychiatric categories; symptoms are modelled and then grouped into a psychiatric category. I highlight this primarily through analysing research domain criteria. RDoC’s importance makes it worth scrutinizing, and this assessment also serves as a case study with relevance for other areas of psychiatry. RDoC takes inadequacies of existing psychiatric categories as holding back causal investigation. Consequently, RDoC aims to circumnavigate existing psychiatric categories by directly investigating the (...)
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  42. Structural Modelling, Exogeneity, and Causality.Federica Russo, Michel Mouchart & Guillaume Wunsch - 2009 - In Federica Russo, Michel Mouchart & Guillaume Wunsch, Causal Analysis in Population Studies. pp. 59-82.
    This paper deals with causal analysis in the social sciences. We first present a conceptual framework according to which causal analysis is based on a rationale of variation and invariance, and not only on regularity. We then develop a formal framework for causal analysis by means of structural modelling. Within this framework we approach causality in terms of exogeneity in a structural conditional model based which is based on (i) congruence with background knowledge, (ii) invariance under a large variety of (...)
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  43.  35
    Climate modelling and structural stability.Vincent Lam - 2021 - European Journal for Philosophy of Science 11 (4):1-14.
    Climate modelling plays a crucial role for understanding and addressing the climate challenge, in terms of both mitigation and adaptation. It is therefore of central importance to understand to what extent climate models are adequate for relevant purposes, such as providing certain kinds of climate change projections in view of decision-making. In this perspective, the issue of the stability of climate models under small relevant perturbations in their structure seems particularly important. Within this framework, a debate has emerged in the (...)
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  44. Modelling competing legal arguments using Bayesian model comparison and averaging.Martin Neil, Norman Fenton, David Lagnado & Richard David Gill - 2019 - Artificial Intelligence and Law 27 (4):403-430.
    Bayesian models of legal arguments generally aim to produce a single integrated model, combining each of the legal arguments under consideration. This combined approach implicitly assumes that variables and their relationships can be represented without any contradiction or misalignment, and in a way that makes sense with respect to the competing argument narratives. This paper describes a novel approach to compare and ‘average’ Bayesian models of legal arguments that have been built independently and with no attempt to make them consistent (...)
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  45.  41
    Modelling asynchrony in automatic speech recognition using loosely coupled hidden Markov models.H. J. Nock & S. J. Young - 2002 - Cognitive Science 26 (3):283-301.
    Hidden Markov models (HMMs) have been successful for modelling the dynamics of carefully dictated speech, but their performance degrades severely when used to model conversational speech. Since speech is produced by a system of loosely coupled articulators, stochastic models explicitly representing this parallelism may have advantages for automatic speech recognition (ASR), particularly when trying to model the phonological effects inherent in casual spontaneous speech. This paper presents a preliminary feasibility study of one such model class: loosely coupled HMMs. Exact model (...)
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  46.  96
    Modelling and the fall and rise of the handicap principle.Jonathan Grose - 2011 - Biology and Philosophy 26 (5):677-696.
    The story of the fall and rise of Zahavi’s handicap principle is one of a battle between models. Early attempts at formal modeling produced negative results and, unsurprisingly, scepticism about the principle. A major change came in 1990 with Grafen’s production of coherent models of a handicap mechanism of honest signalling. This paper’s first claim is that acceptance of the principle, and its dissemination into other disciplines, has been driven principally by that, and subsequent modeling, rather than by (...)
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  47. Modelling Deep Indeterminacy.George Darby & Martin Pickup - 2021 - Synthese 198:1685–1710.
    This paper constructs a model of metaphysical indeterminacy that can accommodate a kind of ‘deep’ worldly indeterminacy that arguably arises in quantum mechanics via the Kochen-Specker theorem, and that is incompatible with prominent theories of metaphysical indeterminacy such as that in Barnes and Williams (2011). We construct a variant of Barnes and Williams's theory that avoids this problem. Our version builds on situation semantics and uses incomplete, local situations rather than possible worlds to build a model. We evaluate the resulting (...)
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  48.  70
    Modelling Questions in Commitment Spaces.Manfred Krifka - 2021 - In Moritz Cordes, Asking and Answering: Rivalling Approaches to Interrogative Methods. Tübingen: pp. 63–95.
    The paper outlines the analysis of certain question types in the Commitment Space framework, as presented in Krifka (2015). The two basic ideas are: Assertions and most questions involve commitments of speaker and addressee to the truth of a proposition, and questions consist in restricting the continuation of the conversation to answers to the question. The main focus is on breadth, not depth and the detailed comparison with alternative approaches, and on semantic modelling, not on the syntactic and prosodic realizations. (...)
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  49.  52
    Evidence, Explanation and Predictive Data Modelling.Steve T. Mckinlay - 2017 - Philosophy and Technology 30 (4):461-473.
    Predictive risk modelling is a computational method used to generate probabilities correlating events. The output of such systems is typically represented by a statistical score derived from various related and often arbitrary datasets. In many cases, the information generated by such systems is treated as a form of evidence to justify further action. This paper examines the nature of the information generated by such systems and compares it with more orthodox notions of evidence found in epistemology. The paper focuses on (...)
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  50. Scientific modelling in generative grammar and the dynamic turn in syntax.Ryan M. Nefdt - 2016 - Linguistics and Philosophy 39 (5):357-394.
    In this paper, I address the issue of scientific modelling in contemporary linguistics, focusing on the generative tradition. In so doing, I identify two common varieties of linguistic idealisation, which I call determination and isolation respectively. I argue that these distinct types of idealisation can both be described within the remit of Weisberg’s :639–659, 2007) minimalist idealisation strategy in the sciences. Following a line set by Blutner :27–35, 2011), I propose this minimalist idealisation analysis for a broad construal of the (...)
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