Results for 'modeling'

978 found
Order:
  1. Michael Wooldridge.Modeling Distributed Artificial - 1996 - In N. Jennings & G. O'Hare, Foundations of Distributed Artificial Intelligence. Wiley. pp. 269.
    No categories
     
    Export citation  
     
    Bookmark  
  2.  16
    Modelling Strategies: Creating Autonomy for Biology's Theory of Games.Sergio Sismondo - 1997 - History and Philosophy of the Life Sciences 19 (2):147 - 161.
    John Maynard Smith is the person most responsible for the use of game theory in evolutionary biology, having introduced and developed its major concepts, and later surveyed its uses. In this paper I look at some rhetorical work done by Maynard Smith and his co-author G.R. Price to make game theory a standard and common modelling tool for the evolutionary study of behavior. The original presentation of the ideas — in a 1973 Nature article — is frequently cited but almost (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  3. 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 (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   141 citations  
  4. 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 (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   41 citations  
  5. 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 (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   24 citations  
  6. Modelling for planning soil and water conservation.I. Pla - 2002 - A Critical Review. Trans 17:2123-11.
     
    Export citation  
     
    Bookmark  
  7. 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.
     
    Export citation  
     
    Bookmark  
  8. Modelling of Adaptive Learning Scenario in e-Learning Environments.Georgi Tuparov & Daniela Tuparova - 2009 - Communication and Cognition. Monographies 42 (1-2):19-34.
     
    Export citation  
     
    Bookmark  
  9. Modelling informative actions.Jan van Eijck - unknown
    Logics of communication should provide accounts of changes in the state of information of a group of discourse participants, on the basis of message exchanged within the group. We will give an overview of the way this is done in dynamic epistemic logic, focussing on a number of different types of informative actions with their epistemic effects, and presenting a number of new results. At the end of the talk we will indicate the relevance of this work for semantics and (...)
     
    Export citation  
     
    Bookmark  
  10.  42
    Adaptive modelling and mindreading.Donald M. Peterson & Kevin J. Riggs - 1999 - Mind and Language 14 (1):80–112.
    This paper sets out to give sufficient detail to the notion of mental simulation to allow an appraisal of its contribution to ‘mindreading’ in the context of the ‘false-belief tasks’ used in developmental psychology. We first describe the reasoning strategy of ‘modified derivation’, which supports counterfactual reasoning. We then give an analysis of the logical structure of the standard false-belief tasks. We then show how modified derivation can be used in a hybrid strategy for mindreading in these tasks. We then (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   10 citations  
  11. 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 (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   101 citations  
  12.  62
    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 (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   27 citations  
  13.  93
    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.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  14. 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. (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  15.  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.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   8 citations  
  16. 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 (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  17. 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 (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  18.  40
    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 (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  19. 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 (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   26 citations  
  20. Modelling global to local cortical interaction for scene analysis and perspective retrieval.N. Guyader, C. Massot & J. Hérault - 1996 - In Enrique Villanueva, Perception. Ridgeview Pub. Co. pp. 71-71.
     
    Export citation  
     
    Bookmark  
  21.  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, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   7 citations  
  22.  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: Routledge. 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, (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  23.  65
    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 (...)
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  24. 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 (...)
    Direct download (13 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  25.  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 (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   40 citations  
  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 (...)
    Direct download (15 more)  
     
    Export citation  
     
    Bookmark   10 citations  
  27. 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 (...)
     
    Export citation  
     
    Bookmark   16 citations  
  28. 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, (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  29.  45
    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 (...)
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  30.  44
    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 (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  31.  40
    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 (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  32. Modelling mechanisms of democratic transition in the Arab uprisings.Bertold Schweitzer - forthcoming - Middle East Critique 24 (1).
  33.  55
    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.
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   29 citations  
  34. 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 (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  35. Modelling consciousness-dependent expertise in machine medical moral agents.Steve Torrance & Ron Chrisley - unknown
    It is suggested that some limitations of current designs for medical AI systems stem from the failure of those designs to address issues of artificial consciousness. Consciousness would appear to play a key role in the expertise, particularly the moral expertise, of human medical agents, including, for example, autonomous weighting of options in diagnosis; planning treatment; use of imaginative creativity to generate courses of action; sensorimotor flexibility and sensitivity; empathetic and morally appropriate responsiveness; and so on. Thus, it is argued, (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  36. 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 (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   12 citations  
  37.  34
    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 (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  38.  29
    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 (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  39.  31
    Random Modelling of Contagious Diseases.J. Demongeot, O. Hansen, H. Hessami, A. S. Jannot & J. Mintsa - 2013 - Acta Biotheoretica 61 (1):141-172.
    Modelling contagious diseases needs to include a mechanistic knowledge about contacts between hosts and pathogens as specific as possible, e.g., by incorporating in the model information about social networks through which the disease spreads. The unknown part concerning the contact mechanism can be modelled using a stochastic approach. For that purpose, we revisit SIR models by introducing first a microscopic stochastic version of the contacts between individuals of different populations (namely Susceptible, Infective and Recovering), then by adding a random perturbation (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  40. Modelling collective belief.Margaret Gilbert - 1987 - Synthese 73 (1):185-204.
    What is it for a group to believe something? A summative account assumes that for a group to believe that p most members of the group must believe that p. Accounts of this type are commonly proposed in interpretation of everyday ascriptions of beliefs to groups. I argue that a nonsummative account corresponds better to our unexamined understanding of such ascriptions. In particular I propose what I refer to as the joint acceptance model of group belief. I argue that group (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   267 citations  
  41.  84
    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 (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  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 (...)
    Direct download  
     
    Export citation  
     
    Bookmark   6 citations  
  43.  90
    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 (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   10 citations  
  44.  57
    Cognitive modelling of human temporal reasoning.Alice G. B. ter Meulen - 2003 - Behavioral and Brain Sciences 26 (5):623-624.
    Modelling human reasoning characterizes the fundamental human cognitive capacity to describe our past experience and use it to form expectations as well as plan and direct our future actions. Natural language semantics analyzes dynamic forms of reasoning in which the real-time order determines the temporal relations between the described events, when reported with telic simple past-tense clauses. It provides models of human reasoning that could supplement ACT-R models.
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark  
  45.  23
    Modelling Excessive Internet Use:s Revision of R. Davis's Cognitive-Behavioural Model of Pathological Internet Use.Katarzyna Kaliszewska-Czeremska - 2011 - Polish Psychological Bulletin 42 (3):129-139.
    Modelling Excessive Internet Use:s Revision of R. Davis's Cognitive-Behavioural Model of Pathological Internet Use This article proposes a new model of excessive Internet use. The point of departure for the present study was the Cognitive-Behavioural Model of Pathological Internet Use developed by R. Davis. The original model was modified so as to improve its explanatory power. Data were collected from 405 participants aged from 18 to 55 in various Polish towns and cities. The following instruments were administered to the participants: (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  46. 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.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  47.  39
    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 (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  48.  38
    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 (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  49.  40
    Computational modelling of spoken-word recognition processes: design choices and evaluation.Odette Scharenborg & Lou Boves - 2010 - Pragmatics and Cognition 18 (1):136-164.
    Computational modelling has proven to be a valuable approach in developing theories of spoken-word processing. In this paper, we focus on a particular class of theories in which it is assumed that the spoken-word recognition process consists of two consecutive stages, with an `abstract' discrete symbolic representation at the interface between the stages. In evaluating computational models, it is important to bring in independent arguments for the cognitive plausibility of the algorithms that are selected to compute the processes in a (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  50.  85
    Optimality modelling in the real world.Jean-Sébastien Bolduc & Frank Cézilly - 2012 - Biology and Philosophy 27 (6):851-869.
    In a recent paper, Potochnik (Biol Philos 24(2):183–197, 2009) analyses some uses of optimality modelling in light of the anti-adaptationism criticism. She distinguishes two broad classes of such uses (weak and strong) on the basis of assumptions held by biologists about the role and the importance of natural selection. This is an interesting proposal that could help in the epistemological characterisation of some biological practices. However, Potochnik’s distinction also rests on the assumption that all optimality modelling represent the selection dynamic (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   6 citations  
1 — 50 / 978