Results for 'hydrological modeling'

998 found
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  1.  6
    Tying Climate Justice to Hydrological Justice.Sue Spaid - 2020 - Rivista di Estetica 75:143-163.
    To date, climate justice has been modeled on global justice, giving rise to such notions as ecological space, ecological debt and carbon debt. I worry that global justice fails to compel compliance and ignores hydrological systems’ role in cooling atmospheric temperatures. I thus opt to tie climate justice to hydrological justice, a form of global environmental justice that requires transparency and kinship, and proves more coercive since both burdens and targets are local. To demonstrate this view, I first (...)
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  2.  15
    Reckoning with Continuum Idealizations: Some Lessons from Soil Hydrology.Travis Holmes - 2022 - Philosophy of Science 89 (2):319-336.
    In scientific modeling, continuum idealizations bridge scales but at the cost of fundamentally misrepresenting the microstructure of the system. This engenders a mystery. If continuum idealizations are dispensable in principle, this de-problematizes their representational inaccuracy, since continuum properties reduce to lower-scale properties, but the mystery of how this reduction could be carried out endures. Alternatively, if continuum idealizations are indispensable in principle, this is consistent with their explanatory and predictive success but renders their representational inaccuracy mysterious. I argue for (...)
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  3.  26
    Risks in the Making: The Mediating Role of Models in Water Management and Civil Engineering in the Netherlands.Matthijs Kouw - 2017 - Berichte Zur Wissenschaftsgeschichte 40 (2):160-174.
    Translation abstractSummary: Risks in the Making: The Mediating Role of Models in Water Management and Civil Engineering in the Netherlands. Reliance on models can make technological cultures susceptible to risks through the assumptions, uncertainties, and blind spots that may accompany modeling practices. Historian of science Peter Galison has described computer modeling practices as “trading zones”, conceptual spaces in which a shared language is hammered out in an attempt to facilitate collaboration between different social groups, such as engineers and (...)
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  4.  33
    The Economic and social impacts of water scarcity in the IR Iran.Scott Vitkovic & D. Soleimani - 2019 - International E-Journal of Advances in Social Sciences 5 (13):342 - 359.
    The past 15 years of exceptionally severe water scarcity in the Islamic Republic of Iran have resulted in the desertification and salinity of formerly arable lands, drying out of Iranian lakes and rivers, and quickly shrinking groundwater resources, while water demand has risen, along with the size of the Iranian population, of which over 70% lives in urban areas now. We have aimed to discover the causes of water scarcity in the IR Iran and evaluated its social and economic impacts. (...)
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  5.  12
    Practical Design Considerations for Signal Conditioning Unit Interfaced with Multi-point Snow Temperature Recording System.Raman K. Attri, B. K. Sharma & M. A. Shamshi - 2000 - Iete Technical Review 17 (6):351-361.
    Multi-point Temperature Measurement has always been very important aspect of physical instrumentation mainly in environmental and Industrial application. A multi-point temperature measurement system has been developed to measure temperature at different points simultaneously. This multi-channel system is designed specifically for measuring snow temperature at 28 different points In snow layers and this multi-point data is used in modeling of snow cover. The interfacing of such multi-channel system to Data acquisition system is one of the most critical design aspects, which (...)
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  6. Michael Wooldridge.Modeling Distributed Artificial - 1996 - In N. Jennings & G. O'Hare (eds.), Foundations of Distributed Artificial Intelligence. Wiley. pp. 269.
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  7. Modelling Belief Dynamics.Manuel Bremer - manuscript
    The following considerations concern modelling Belief Dynamics (BD) not just in the sense of a formalization, but rather in the sense of building a computational model and implementing the corresponding data structures and algorithms of recomputing beliefs. The purpose of such a project is to illustrate some ideas about belief changes in a Web of Beliefs (WoB) to explore and deepen one's understanding of belief changes by trying to implement or improve corresponding algorithms.
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  8.  10
    Linguistic modelling and the scientific enterprise.Ryan M. Nefdt - 2016 - Language Sciences 54:43-57.
    In this paper, I critique a recent claim made by Stokhof and van Lambalgen (2011) (hereafter S&vL) that linguistics and science are at odds as to the models and constructions they employ. I argue that their distinction between abstractions and idealisations, the former belonging to the methodology of science and the latter to linguistics, is not a real one. I show that the majority of their arguments are flawed and evidence they cite misleading. Contrary to this distinction, I argue that (...)
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  9.  54
    Computing, Modelling, and Scientific Practice: Foundational Analyses and Limitations.Filippos A. Papagiannopoulos - 2018 - Dissertation, University of Western Ontario
    This dissertation examines aspects of the interplay between computing and scientific practice. The appropriate foundational framework for such an endeavour is rather real computability than the classical computability theory. This is so because physical sciences, engineering, and applied mathematics mostly employ functions defined in continuous domains. But, contrary to the case of computation over natural numbers, there is no universally accepted framework for real computation; rather, there are two incompatible approaches --computable analysis and BSS model--, both claiming to formalise algorithmic (...)
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  10.  8
    Linguistic modelling of scenarios: the means of paradigm change from the systemic view to systems science.Janos Korn - 2013 - Kibworth Beauchamp, Leicestershire: Matador.
    Linguistic Modelling of Scenarios proposes a paradigm change from the 'systemic VIEW' to 'systems SCIENCE', so as to extend the methodology of conventional science of physics into the domains hitherto beyond the reach of this kind of treatment. The book: I. Identifies the problematic issues in current approaches to the 'systemic or structural view' of parts of the world as opposed to the 'quantitative/qualitative views' of conventional science of physics and the arts whereby introducing the 'third culture'. II. Locates the (...)
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  11. 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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  12.  31
    Rosen's modelling relations via categorical adjunctions.Elias Zafiris - 2012 - International Journal of General Systems 41 (5):439-474.
    Rosen's modelling relations constitute a conceptual schema for the understanding of the bidirectional process of correspondence between natural systems and formal symbolic systems. The notion of formal systems used in this study refers to information structures constructed as algebraic rings of observable attributes of natural systems, in which the notion of observable signifies a physical attribute that, in principle, can be measured. Due to the fact that modelling relations are bidirectional by construction, they admit a precise categorical formulation in terms (...)
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  13. Modelling Inequality.Karim Thébault, Seamus Bradley & Alexander Reutlinger - 2018 - 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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  14. CSsEv: Modelling QoS Metrics in Tree Soft Toward Cloud Services Evaluator based on Uncertainty Environment.Mona Gharib, Florentin Smarandache & Mona Mohamed - 2024 - International Journal of Neutrosophic Science 23 (2):32-41.
    Cloud computing (ClC) has become a more popular computer paradigm in the preceding few years. Quality of Service (QoS) is becoming a crucial issue in service alteration because of the rapid growth in the number of cloud services. When evaluating cloud service functioning using several performance measures, the issue becomes more complex and non-trivial. It is therefore quite difficult and crucial for consumers to choose the best cloud service. The user's choices are provided in a quantifiable manner in the current (...)
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  15. 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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  16.  8
    Artistic Modelling of History in the Literature and Non-Fiction of a Post-Totalitarian Society.Yuliia Laskava, Volodymyr Bondarenko, Olena Shulga, Mykola Stasyk & Olga Stadnichenko - 2021 - Postmodern Openings 12 (1Sup1):228-237.
    An artistic interpretation of historical facts is quite relevant in the literature and non-fiction of a post-totalitarian society. Prose works on historical themes are valuable and interesting in that they create an illusion for readers to be present in a certain period of historical time, and it is the artistic modeling of events that makes priceless facts of history completely disappear. The historical past is an inexhaustible material that word artists have been referring to for centuries, creating the best (...)
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  17. 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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  18.  79
    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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  19.  55
    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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  20. 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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  21.  68
    Contested modelling: The case of economics.Uskali Mäki - 2013 - In Ulrich Gähde, Stephan Hartmann & Jörn Henning Wolf (eds.), 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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  22. 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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  23.  64
    Climate Modelling: Philosophical and Conceptual Issues.Elisabeth A. Lloyd & Eric Winsberg (eds.) - 2018 - Springer Verlag.
    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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  24. Modelling the mind.K. A. Mohyeldin Said, W. H. Newton Smith, R. Viale & K. V. Wilkes - 1992 - Revue Philosophique de la France Et de l'Etranger 182 (4):489-490.
     
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  25.  35
    Modelling Nature. An Opinionated Introduction to Scientific Representation.Roman Frigg & James Nguyen - 2020 - New York: Springer.
    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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  26.  11
    Modelling the interpretative impact of subordinate constructions in spontaneous conversation.Manon Lelandais - 2020 - Corela. Cognition, Représentation, Langage 18.
    This qualitative study proposes a multimodal framework for modelling subordinate constructions in spontaneous conversation, based on their action on interpretative frames. Subordinate constructions have long been described in linguistics as dependent elements elaborating upon some primary features. However, Cognitive Grammar has challenged this view in showing that syntactic embedding often only reflects the starting point speakers choose to convey their message. Subordinate constructions are practices in interaction that offer an interpretative reconstruction of discourse. The different syntactic types of subordinate constructions (...)
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  27. 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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  28.  52
    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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  29.  69
    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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  30. Modelling law diachronically : temporal variability in legal theory.Maksymilian del Mar - 2016 - In Maksymilian Del Mar & Michael Lobban (eds.), Law in theory and history: new essays on a neglected dialogue. Portland, Oregon: Hart Publishing.
     
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  31.  19
    Formal Modelling and Verification of Probabilistic Resource Bounded Agents.Hoang Nga Nguyen & Abdur Rakib - 2023 - Journal of Logic, Language and Information 32 (5):829-859.
    Many problems in Multi-Agent Systems (MASs) research are formulated in terms of the abilities of a coalition of agents. Existing approaches to reasoning about coalitional ability are usually focused on games or transition systems, which are described in terms of states and actions. Such approaches however often neglect a key feature of multi-agent systems, namely that the actions of the agents require resources. In this paper, we describe a logic for reasoning about coalitional ability under resource constraints in the probabilistic (...)
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  32. Modelling Argument Recognition and Reconstruction.Joel Katzav & Chris Reed - 2008 - Journal of Pragmatics 40:155-172..
    A growing body of recent work in informal logic investigates the process of argumentation. Among other things, this work focuses on the ways in which individuals attempt to understand written or verbalised arguments in light of the fact that these are often presented in forms that are incomplete and unmarked. One of its aims is to develop general procedures for natural language argument recognition and reconstruction. Our aim here is to draw on this growing body of knowledge in informal logic (...)
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  33. 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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  34. Modelling Multilateral Negotiation in Linear Logic.Daniele Porello & Ulle Endriss - 2010 - In Daniele Porello & Ulle Endriss (eds.), {ECAI} 2010 - 19th European Conference on Artificial Intelligence, Lisbon, Portugal, August 16-20, 2010, Proceedings. pp. 381--386.
    We show how to embed a framework for multilateral negotiation, in which a group of agents implement a sequence of deals concerning the exchange of a number of resources, into linear logic. In this model, multisets of goods, allocations of resources, preferences of agents, and deals are all modelled as formulas of linear logic. Whether or not a proposed deal is rational, given the preferences of the agents concerned, reduces to a question of provability, as does the question of whether (...)
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  35.  20
    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.  53
    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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  37.  39
    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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  38.  26
    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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  39.  41
    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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  40. 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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  41.  7
    VII*—Modelling the Kinematics of Meaning.Johan van Benthem - 1993 - Proceedings of the Aristotelian Society 93 (1):105-122.
    Johan van Benthem; VII*—Modelling the Kinematics of Meaning, Proceedings of the Aristotelian Society, Volume 93, Issue 1, 1 June 1993, Pages 105–122, https://do.
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  42.  24
    Modelling the Future: an Overview of the ‘Limits to Growth’ Debate.Elodie Vieille Blanchard - 2010 - Centaurus 52 (2):91-116.
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  43.  17
    Modelling dynamic behaviour of agents in a multiagent world: Logical analysis of Wh-questions and answers.Martina Číhalová & Marie Duží - 2023 - Logic Journal of the IGPL 31 (1):140-171.
    In a multiagent and multi-cultural world, the fine-grained analysis of agents’ dynamic behaviour, i.e. of their activities, is essential. Dynamic activities are actions that are characterized by an agent who executes the action and by other participants of the action. Wh-questions on the participants of the actions pose a difficult particular challenge because the variability of the types of possible answers to such questions is huge. To deal with the problem, we propose the analysis and classification of Wh-questions apt for (...)
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  44.  72
    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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  45. 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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  46.  51
    Simplicity, Inference and Modelling: Keeping It Sophisticatedly Simple.Arnold Zellner, Hugo A. Keuzenkamp & Michael McAleer (eds.) - 2001 - New York: Cambridge University Press.
    The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. A problem with Ockham's razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this 2002 monograph examines simplicity (...)
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  47. Calibration: Modelling the measurement process.Eran Tal - 2017 - Studies in History and Philosophy of Science Part A 65:33-45.
  48. Modelling mechanisms of democratic transition in the Arab uprisings.Bertold Schweitzer - forthcoming - Middle East Critique 24 (1).
  49. 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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    Modelling Human Communication: Mediality and Semiotics.Lars Elleström - 2018 - In Alin Olteanu, Andrew Stables & Dumitru Borţun (eds.), Meanings & Co.: The Interdisciplinarity of Communication, Semiotics and Multimodality. Springer Verlag. pp. 7-32.
    The article delineates a model of communication among human minds that is designed to work equally well for all kinds of nonverbal and verbal significance. The model thus allows for detailed analysis of and comparison among all varieties of human communication. In particular, the transitional stage of communication, which is termed the media product, is thoroughly developed and conceptualized in terms of mediality and semiosis. By way of mapping basic media dissimilarities that are vital for differing communicative capacities, the model (...)
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