Results for 'modeling state'

983 found
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  1. 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 (...)
     
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  2.  43
    Complexity Modelling in Economics: the State of the Art.Bruna Bruno, Marisa Faggini & Anna Parziale - 2016 - Economic Thought 5 (2):29.
    The economic crisis happening across the world over the last few years describes a range of interdependencies and interactions,and has highlighted the fundamentalf laws of neoclassical economic theory: its unedifying focus on prediction and, above all, its inability to explain how the economy really works. As such, it is increasingly recognised that economic phenomena cannot be exclusively investigated as being derived from deterministic, predictable and mechanistic dynamics. Instead, a new approach is required by which history-dependence, organic and ever-evolving processes are (...)
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  3.  21
    Modelling the Effect of Vaccination Program and Inter-state Travel in the Spread of COVID-19 in Malaysia.Muhamad Afiq Aziz, Zhou Yuhao, Siti Suzlin Supadi, Nor Aishah Hamzah, Ahmad Dzulhilmi Ahmad Safaruddin & Muhamad Hifzhudin Noor Aziz - 2022 - Acta Biotheoretica 71 (1):1-22.
    A modified version of the SEIR model with the effects of vaccination and inter-state movement is proposed to simulate the spread of COVID-19 in Malaysia. A mathematical analysis of the proposed model was performed to derive the basic reproduction number. To enhance the model’s forecasting capabilities, the model parameters were estimated using the Nelder–Mead simplex method by fitting the model outputs to the observed data. Our results showed a good fit between the model outputs and available data, where the (...)
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    Modelling and Qualitative Analysis of Water Hyacinth Ecological System with Two State-Dependent Impulse Controls.Jin-Bo Fu & Lan-Sun Chen - 2018 - Complexity 2018:1-16.
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  5.  33
    Agent-based Modelling and Simulation in the Social and Human Sciences.Denis Phan & Frédéric Amblard (eds.) - 2007 - Oxford: The Bardwell Press.
    This volume brings together contributions from leading researchers in the field of agent-based modelling and simulation. This approach has grown out of some recent and innovative ideas in the social sciences, computer sciences, life sciences, physics and game theory. It is proving helpful in understanding complexity in many domains. The opportunities it offers to explore the experimental approach to social and human behaviour is proving of theoretical and empirical value across a wide range of fields. With contributions from researchers whose (...)
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  6.  37
    Agent Based Modelling and Simulations in the Human and Social Siences.Denis Phan & Phan Amblard (eds.) - 2007 - Oxford: The Bardwell Press.
    This book brings together contributions from leading researchers in the field of agent-based modelling and simulation. This approach has grown out of some recent and innovative ideas in the social sciences, computer sciences, life sciences, physics and game theory. It is proving helpful in understanding complexity in many domains. The opportunities it offers to explore the experimental approach to social and human behaviour is proving of theoretical and empirical value across a wide range of fields. With contributions from researchers whose (...)
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  7. Modelling Reflective Equilibrium with Belief Revision Theory.Andreas Freivogel - 2021 - In Martin Blicha & Igor Sedlár, The Logica Yearbook 2020. College Publications. pp. 65-80.
    This article brings together two different topics: reflective equilibrium (RE) and belief revision theory (BRT). RE is a popular method of justification in many areas of philosophy, it involves a process of mutual adjustments striving for a state of coherence, but it lacks formally rigorous elaborations and faces severe criticism. To elucidate core elements of RE and provide a solid basis to address objections, a formal model of RE within BRT is presented. A fruitful starting point to the formalization (...)
     
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  8.  41
    Modelling Perjury: Between Trust and Blame.Izabela Skoczeń - 2021 - International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique 35 (2):771-805.
    I investigate: to what extent do folk ascriptions of lying differ between casual and courtroom contexts? to what extent does motive to lie influence ascriptions of trust, mental states, and lying judgments? to what extent are lying judgments consistent with previous ascriptions of communicated content? Following the Supreme Court’s Bronston judgment, I expect: averaged lying judgments to be similar in casual and courtroom contexts; motive to lie to influence levels of trust, mental states ascriptions, and patterns of lying judgments; retrospective (...)
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  9.  42
    Modelling the noncomputational mind: Reply to Litch.Terence E. Horgan - 1997 - Philosophical Psychology 10 (3):365-371.
    I explain why, within the nonclassical framework for cognitive science we describe in the book, cognitive-state transitions can fail to be tractably computable even if they are subserved by a discrete dynamical system whose mathematical-state transitions are tractably computable. I distinguish two ways that cognitive processing might conform to programmable rules in which all operations that apply to representation-level structure are primitive, and two corresponding constraints on models of cognition. Although Litch is correct in maintaining that classical cognitive (...)
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  10.  32
    Modelling Epistemic Actions in Interrogative Belief Revision.Sebastian Enqvist - 2012 - Journal of Logic and Computation 22 (6):1335-1365.
    in UndeterminedInterrogative belief revision is a relatively recent framework for belief revision theory, in which the epistemic state of an agent includes a representation of that agent's research agenda, i.e. the set of questions the agent wants to have answers to. This added structure opens new possibilites for various types of epistemic change that cannot be distinguished in traditional belief revision. In this article I use the so-called 'action model' approach known from the literature on dynamic epistemic logic to (...)
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  11.  29
    Context-Invariant and Local Quasi Hidden Variable Modelling Versus Contextual and Nonlocal HV Modelling.Elena R. Loubenets - 2015 - Foundations of Physics 45 (7):840-850.
    For the probabilistic description of all the joint von Neumann measurements on a D-dimensional quantum system, we present the specific example of a context-invariant quasi hidden variable model, proved in Loubenets to exist for each Hilbert space. In this model, a quantum observable X is represented by a variety of random variables satisfying the functional condition required in quantum foundations but, in contrast to a contextual model, each of these random variables equivalently models X under all joint von Neumann measurements, (...)
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  12.  10
    Coloured petri nets: modelling and validation of concurrent systems.K. Jensen - 2009 - New York: Springer. Edited by Lars M. Kristensen.
    Introduction to modelling and validation -- Non-hierarchical coloured petri nets -- CPN ML programming -- Formal definition of non-hierarchical coloured petri nets -- Hierarchical coloured petri nets -- Formal defintion of hierarchical coloured petri nets -- State spaces and behavioural properties -- Advanced state space methods -- Formal definition of state spaces and behavioural properties -- Timed coloured petri nets -- Formal definition of timed coloured petri nets -- Simulation-based performance analysis -- Behavioural visualisation -- Examples of (...)
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  13.  19
    Modelling threshold phenomena in OWL: Metabolite concentrations as evidence for disorders.J. Hastings, L. Jansen, C. Steinbeck & S. Schulz - 2011 - In Michel Dumontier & Melanie Courtot, Proceedings of the 8th International Workshop on OWL: Experiences and Directions.
    While genomic and proteomic information describe the overall cellular machinery available to an organism, the metabolic profile of an individual at a given time provides a canvas as to the current physiological state. Concentration levels of relevant metabolites vary under different conditions, in particular, in the presence or absence of different disorders. Metabolite concentrations thus mediate an important link between chemistry and biology, contributing to a systems-wide understanding of biological processes and pathways. However, there are a number of challenges (...)
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  14.  38
    Modelling the Direct and Indirect Effects of Positive Emotional and Cognitive Traits and States on Social Judgements.Scott C. Roesch - 1999 - Cognition and Emotion 13 (4):387-418.
    It was hypothesised that positive affective states and situational information-processing demands would differentially influence the favourability of social judgements of a target social group. These hypothesised direct effects on social judgements were subsequently incorporated into a broader statetrait model of the social judgement process, whereby direct and indirect effects of personality and cognitive traits, along with positive affective states and information-processing demands (i.e. cognitive state), were also hypothesised to influence social judgements. Three hundred and eight subjects reported their trait (...)
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  15.  37
    Modelling audiovisual integration of affect from videos and music.Chuanji Gao, Douglas H. Wedell, Jongwan Kim, Christine E. Weber & Svetlana V. Shinkareva - 2017 - Cognition and Emotion 32 (3):516-529.
    Two experiments examined how affective values from visual and auditory modalities are integrated. Experiment 1 paired music and videos drawn from three levels of valence while holding arousal constant. Experiment 2 included a parallel combination of three levels of arousal while holding valence constant. In each experiment, participants rated their affective states after unimodal and multimodal presentations. Experiment 1 revealed a congruency effect in which stimulus combinations of the same extreme valence resulted in more extreme state ratings than component (...)
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  16.  22
    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 (...)
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  17.  44
    Modeling of Ecologic Policy of the States of the Central Asia.Mamashakirov Saidmurad - 2008 - Proceedings of the Xxii World Congress of Philosophy 23:131-137.
    In the last decades of the XX century the world community precisely realized the huge danger of the ecological situation which had been developed on our planet under influence of negative technogenic and other anthropogenous factors. Very complex there were ecological conditions in the territory of the former USSR, including Central Asian region, in particular Uzbekistan, which had experienced all the toughness of the former colonial regime. Understanding the consequences of the ecological catastrophe in the region helps to model sociopolitical (...)
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  18.  18
    Toward Economic Growth and Value Creation Through Social Entrepreneurship: Modelling the Mediating Role of Innovation.Wenjie Wang - 2022 - Frontiers in Psychology 13:914700.
    The concept of social entrepreneurship emerged as a significant factor that contributes toward public welfare and prosperity. Recent studies showed that social entrepreneurship influences the economic growth and sustainability of the state. Therefore, the underlying aim of this study was to investigate the impact of social entrepreneurship on sustainable economic growth and value creation. This study also undertook to observe the mediating role of innovation in the relationship between social entrepreneurship and sustainable economic growth and between social entrepreneurship and (...)
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  19.  39
    The limits of Platonic modelling and moral education: a view from the classroom.Matthew J. Berk - 2023 - Journal of Philosophy of Education 57 (3):762-773.
    Educators are conflicted about whether school provides an appropriate space to teach ethics. Still, they want to develop the moral character of their students, and most of these efforts have used various citizenship values to address our frustration with students’ ‘lack of character’. Recently, a wave of work in the philosophy of education has rejuvenated discussion of Aristotelian virtue ethics, which forms the backbone for programmes that many schools are now adopting. Mark Jonas and Yoshiaki Nakazawa, however, argue that schools (...)
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  20.  40
    Population dynamics modelling in an hierarchical arborescent river network: An attempt with salmo trutta.S. Charles, R. Bravo de la Parra, J. P. Mallet, H. Persat & P. Auger - 1998 - Acta Biotheoretica 46 (3):223-234.
    The balance between births and deaths in an age-structured population is strongly influenced by the spatial distribution of sub-populations. Our aim was to describe the demographic process of a fish population in an hierarchical dendritic river network, by taking into account the possible movements of individuals. We tried also to quantify the effect of river network changes (damming or channelling) on the global fish population dynamics. The Salmo trutta life pattern was taken as an example for.We proposed a model which (...)
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  21.  33
    Computational Methods for Identification and Modelling of Complex Biological Systems.Alejandro F. Villaverde, Carlo Cosentino, Attila Gábor & Gábor Szederkényi - 2019 - Complexity 2019:1-3.
    Observability is a modelling property that describes the possibility of inferring the internal state of a system from observations of its output. A related property, structural identifiability, refers to the theoretical possibility of determining the parameter values from the output. In fact, structural identifiability becomes a particular case of observability if the parameters are considered as constant state variables. It is possible to simultaneously analyse the observability and structural identifiability of a model using the conceptual tools of differential (...)
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  22.  9
    Stimulus processing bias in anxiety-related fear generalisation: drift-diffusion modelling and subgroups differences.Donghuan Zhang, Min Fan, Biyao Zhang, Yixuan Feng, Gao Yu, Wei Chen, Feng Biao & Xifu Zheng - forthcoming - Cognition and Emotion.
    In fear differential conditioning, stimuli that resemble the conditioned stimulus (CS+) are more likely to trigger fear responses. Excessive fear responses on stimuli not like CS + are often associated with anxiety. However, the threat judgments process and how this process manifests itself differently in subgroups with different generalisation rule applications, is unclear. This study examines whether anxiety biases the threat decision process in fear generalisation paradigm and whether subgroups characterised by different generalisation gradients was interpreted differently by drift-diffusion model. (...)
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    Explanatory frameworks in complex change and resilience system modelling.Mark Addis & Claudia Eckert - forthcoming - Logic Journal of the IGPL.
    Heterogenous flows across system boundaries continue to pose significant problems for efficient resource allocation especially with respect to long term strategic planning and immediate problems about allocation to address particular resource shortages. The approach taken here to modelling such flows is an engineering change prediction one. This enables margin modelling by producing system models in dependency matrices with different linkage types. Change prediction approaches from engineering design can analyse where these bottlenecks in integrated systems would be so that resources can (...)
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  24.  65
    Cognitive Modeling at ICCM: State of the Art and Future Directions.Niels A. Taatgen, Marieke K. Vugt, Jelmer P. Borst & Katja Mehlhorn - 2016 - Topics in Cognitive Science 8 (1):259-263.
    The goal of cognitive modeling is to build faithful simulations of human cognition. One of the challenges is that multiple models can often explain the same phenomena. Another challenge is that models are often very hard to understand, explore, and reuse by others. We discuss some of the solutions that were discussed during the 2015 International Conference on Cognitive Modeling.
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  25. The cultural evolution of mind-modelling.Richard Moore - 2020 - Synthese 199 (1):1751-1776.
    I argue that uniquely human forms of ‘Theory of Mind’ are a product of cultural evolution. Specifically, propositional attitude psychology is a linguistically constructed folk model of the human mind, invented by our ancestors for a range of tasks and refined over successive generations of users. The construction of these folk models gave humans new tools for thinking and reasoning about mental states—and so imbued us with abilities not shared by non-linguistic species. I also argue that uniquely human forms of (...)
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  26.  30
    Modeling Affect Dynamics: State of the Art and Future Challenges.E. L. Hamaker, E. Ceulemans, R. P. P. P. Grasman & F. Tuerlinckx - 2015 - Emotion Review 7 (4):316-322.
    The current article aims to provide an up-to-date synopsis of available techniques to study affect dynamics using intensive longitudinal data (ILD). We do so by introducing the following eight dichotomies that help elucidate what kind of data one has, what process aspects are of interest, and what research questions are being considered: (1) single- versus multiple-person data; (2) univariate versus multivariate models; (3) stationary versus nonstationary models; (4) linear versus nonlinear models; (5) discrete time versus continuous time models; (6) discrete (...)
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  27.  39
    Modeling Spatial Knowledge.Benjamin Kuipers - 1978 - Cognitive Science 2 (2):129-153.
    A person's cognitive map, or knowledge of large‐scale space, is built up from observations gathered as he travels through the environment. It acts as a problem solver to find routes and relative positions, as well as describing the current location. The TOUR model captures the multiple representations that make up the cognitive map, the problem‐solving strategies it uses, and the mechanisms for assimilating new information. The representations have rich collections of states of partial knowledge, which support many of the performance (...)
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  28.  20
    Cognitive Modeling at ICCM : State of the Art and Future Directions.Niels A. Taatgen, Marieke K. van Vugt, Jelmer P. Borst & Katja Mehlhorn - 2016 - Topics in Cognitive Science 8 (1):259-263.
    The goal of cognitive modeling is to build faithful simulations of human cognition. One of the challenges is that multiple models can often explain the same phenomena. Another challenge is that models are often very hard to understand, explore, and reuse by others. We discuss some of the solutions that were discussed during the 2015 International Conference on Cognitive Modeling.
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  29. A method for the computational modelling of dialectical argument with dialogue games.T. J. M. Bench-Capon, T. Geldard & P. H. Leng - 2000 - Artificial Intelligence and Law 8 (2-3):233-254.
    In this paper we describe a method for the specification of computationalmodels of argument using dialogue games. The method, which consists ofsupplying a set of semantic definitions for the performatives making upthe game, together with a state transition diagram, is described in full.Its use is illustrated by some examples of varying complexity, includingtwo complete specifications of particular dialogue games, Mackenzie's DC,and the authors' own TDG. The latter is also illustrated by a fully workedexample illustrating all the features of the (...)
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  30.  35
    Editors’ Introduction: Cognitive Modeling at ICCM: Advancing the State of the Art.William G. Kennedy, Marieke K. Vugt & Adrian P. Banks - 2018 - Topics in Cognitive Science 10 (1):140-143.
    Cognitive modeling is the effort to understand the mind by implementing theories of the mind in computer code, producing measures comparable to human behavior and mental activity. The community of cognitive modelers has traditionally met twice every 3 years at the International Conference on Cognitive Modeling. In this special issue of topiCS, we present the best papers from the ICCM meeting. These best papers represent advances in the state of the art in cognitive modeling. Since ICCM (...)
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  31. Modeling inference of mental states: As simple as possible, as complex as necessary.Ben Meijering, Niels A. Taatgen, Hedderik van Rijn & Rineke Verbrugge - 2014 - Interaction Studies 15 (3):455-477.
    Behavior oftentimes allows for many possible interpretations in terms of mental states, such as goals, beliefs, desires, and intentions. Reasoning about the relation between behavior and mental states is therefore considered to be an effortful process. We argue that people use simple strategies to deal with high cognitive demands of mental state inference. To test this hypothesis, we developed a computational cognitive model, which was able to simulate previous empirical findings: In two-player games, people apply simple strategies at first. (...)
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  32. Modeling economic systems as locally-constructive sequential games.Leigh Tesfatsion - 2017 - Journal of Economic Methodology 24 (4):1-26.
    Real-world economies are open-ended dynamic systems consisting of heterogeneous interacting participants. Human participants are decision-makers who strategically take into account the past actions and potential future actions of other participants. All participants are forced to be locally constructive, meaning their actions at any given time must be based on their local states; and participant actions at any given time affect future local states. Taken together, these essential properties imply real-world economies are locally-constructive sequential games. This paper discusses a modeling (...)
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  33. Mining Arguments From 19th Century Philosophical Texts Using Topic Based Modelling.John Lawrence, Chris Reed, Simon McAlister, Andrew Ravenscroft, Colin Allen & David Bourget - 2014 - In Nancy Green, Kevin Ashley, Diane Litman, Chris Reed & Vern Walker, Proceedings of the First Workshop on Argumentation Mining. Baltimore, USA: pp. 79-87.
    In this paper we look at the manual analysis of arguments and how this compares to the current state of automatic argument analysis. These considerations are used to develop a new approach combining a machine learning algorithm to extract propositions from text, with a topic model to determine argument structure. The results of this method are compared to a manual analysis.
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  34. Alan: An Action Language For Modelling Non-Markovian Domains.Graciela González, Chitta Baral & Michael Gelfond - 2005 - Studia Logica 79 (1):115-134.
    In this paper we present the syntax and semantics of a temporal action language named Alan, which was designed to model interactive multimedia presentations where the Markov property does not always hold. In general, Alan allows the specification of systems where the future state of the world depends not only on the current state, but also on the past states of the world. To the best of our knowledge, Alan is the first action language which incorporates causality with (...)
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  35.  20
    State Transition Modeling in Ultimate Frisbee: Adaptation of a Promising Method for Performance Analysis in Invasion Sports.Hilary Lam, Otto Kolbinger, Martin Lames & Tiago Guedes Russomanno - 2021 - Frontiers in Psychology 12.
    Although the body of literature in sport science is growing rapidly, certain sports have yet to benefit from this increased interest by the scientific community. One such sport is Ultimate Frisbee, officially known as Ultimate. Thus, the goal of this study was to describe the nature of the sport by identifying differences between winning and losing teams in elite-level competition. To do so, a customized observational system and a state transition model were developed and applied to 14 games from (...)
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  36.  92
    Modeling Organogenesis from Biological First Principles.Maël Montévil & Ana M. Soto - 2023 - In Matteo Mossio, Organization in Biology. Springer. pp. 263-283.
    Unlike inert objects, organisms and their cells have the ability to initiate activity by themselves and thus change their properties or states even in the absence of an external cause. This crucial difference led us to search for principles suitable for the study organisms. We propose that cells follow the default state of proliferation with variation and motility, a principle of biological inertia. This means that in the presence of sufficient nutrients, cells will express their default state. We (...)
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  37. (1 other version)Knowledge in Flux. Modeling the Dynamics of Epistemic States.Peter Gärdenfors - 1988 - Studia Logica 49 (3):421-424.
     
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  38.  27
    Editors’ Introduction: Cognitive Modeling at ICCM : Advancing the State of the Art.William G. Kennedy, Marieke K. van Vugt & Adrian P. Banks - 2018 - Topics in Cognitive Science 10 (1):140-143.
    In this issue of topiCS, we present the best papers from the ICCM meeting. These best papers represent advances in the state of the art in cognitive modeling. Since ICCM was for the first time also held jointly with the Society for Mathematical Psychology, we use this preface to also reflect on the similarities and differences between mathematical psychology and cognitive modeling.
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  39. Modeling the Biologically Possible: Evolvability as a Modal Concept.Marcel Weber - 2025 - In Tarja Knuuttila, Till Grüne-Yanoff, Rami Koskinen & Ylwa Wirling, Modeling the Possible. Perspectives from Philosophy of Science. London: Routledge. pp. 121-140.
    Biological modalities, i.e., biologically possible, impossible, or necessary states of affairs have not received much attention from philosophers. Yet, it is widely agreed that there are biological constraints on physically possible states of affairs, such that not everything that is physically possible is also biologically possible, even if everything that is biologically possible is also physically possible. Furthermore, biologists use concepts that appear to be modal in nature, such as the concept of evolvability in evolutionary developmental biology, or “evo-devo.” The (...)
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  40. Selected Published Research on Modeling Face-to-face Conversation.Justine Cassell & Matthew Stone - unknown
    The following list contains a survey of some important and recent research in modeling face-to-face conversation. The list below is a presented as a guide to the literature by topic and date; we include complete citations afterwards in alphabetical order. For brevity, research works are keyed by first author and date only (we use these keys on the slides as well as in this list). Of course, most papers are multiply authored. The list is not intended to be exhaustive. (...)
     
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  41.  14
    Modeling Partial Agency Autonomy in Public-Health Policymaking.Mariano-Florentino Cuéllar - 2014 - Theoretical Inquiries in Law 15 (2):471-506.
    This Article considers the conditions under which administrative agencies - particularly those with public health-related missions - may obtain partial autonomy from external interests or politicians. In the process, it critiques the proposition that administrative agencies in advanced industrialized countries such as the United States are routinely “captured” by external economic interests. Through case studies and the application of relevant theory from law and the study of political organization, the Article describes how agencies can produce a measure of autonomy by (...)
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  42. Modeling dynamics of legal relations with dynamic logic.Jan van Eijck, Fengkui Ju & Tianwen Xu - 2024 - Journal of Logic an Computation 34 (2):372-398.
    The fundamental relations in private law are claims and duties. These legal relations can be changed by agents with the appropriate legal powers. We use propositional dynamic logic and ideas about propositional control from the agency literature to formalize these changes in legal relations. Our models are sets of states with functions specifying atomic facts, agents’ abilities to change atomic facts, legal relations between agents concerning changing atomic facts and agents’ powers. We present a formal language that allows us to (...)
     
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  43.  26
    Modeling heterogeneity in the pluripotent state: A promising strategy for improving the efficiency and fidelity of stem cell differentiation.Vladimir Espinosa Angarica & Antonio del Sol - 2016 - Bioessays 38 (8):758-768.
    Pluripotency can be considered a functional characteristic of pluripotent stem cells (PSCs) populations and their niches, rather than a property of individual cells. In this view, individual cells within the population independently adopt a variety of different expression states, maintained by different signaling, transcriptional, and epigenetics regulatory networks. In this review, we propose that generation of integrative network models from single cell data will be essential for getting a better understanding of the regulation of self‐renewal and differentiation. In particular, we (...)
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  44.  28
    Stochastic Modeling and Forecasting of Covid-19 Deaths: Analysis for the Fifty States in the United States.Olusegun Michael Otunuga & Oluwaseun Otunuga - 2022 - Acta Biotheoretica 70 (4):1-29.
    In this work, we study and analyze the aggregate death counts of COVID-19 reported by the United States Centers for Disease Control and Prevention (CDC) for the fifty states in the United States. To do this, we derive a stochastic model describing the cumulative number of deaths reported daily by CDC from the first time Covid-19 death is recorded to June 20, 2021 in the United States, and provide a forecast for the death cases. The stochastic model derived in this (...)
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  45.  39
    Modeling the minimally conscious state: Measurements of brain function and therapeutic possibilities.Nicholas D. Schiff - 2005 - In Steven Laureys, The Boundaries of Consciousness: Neurobiology and Neuropathology. Elsevier.
  46.  24
    A State Space Approach to Dynamic Modeling of Mouse-Tracking Data.Antonio Calcagnì, Luigi Lombardi, Marco D'Alessandro & Francesca Freuli - 2019 - Frontiers in Psychology 10.
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  47.  43
    Modeling Reference Production as the Probabilistic Combination of Multiple Perspectives.Mindaugas Mozuraitis, Suzanne Stevenson & Daphna Heller - 2018 - Cognitive Science 42 (S4):974-1008.
    While speakers have been shown to adapt to the knowledge state of their addressee in choosing referring expressions, they often also show some egocentric tendencies. The current paper aims to provide an explanation for this “mixed” behavior by presenting a model that derives such patterns from the probabilistic combination of both the speaker's and the addressee's perspectives. To test our model, we conducted a language production experiment, in which participants had to refer to objects in a context that also (...)
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    Using State Space Grids for Modeling Temporal Team Dynamics.Annika L. Meinecke, Clara S. Hemshorn de Sanchez, Nale Lehmann-Willenbrock & Claudia Buengeler - 2019 - Frontiers in Psychology 10.
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    Modeling knowledge‐based inferences in story comprehension.Stefan L. Frank, Mathieu Koppen, Leo G. M. Noordman & Wietske Vonk - 2003 - Cognitive Science 27 (6):875-910.
    A computational model of inference during story comprehension is presented, in which story situations are represented distributively as points in a high‐dimensional “situation‐state space.” This state space organizes itself on the basis of a constructed microworld description. From the same description, causal/temporal world knowledge is extracted. The distributed representation of story situations is more flexible than Golden and Rumelhart's [Discourse Proc 16 (1993) 203] localist representation.A story taking place in the microworld corresponds to a trajectory through situation‐state (...)
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  50. Modeling Cracks and Cracking Models: Structures, Mechanisms, Boundary Conditions, Constraints, Inconsistencies and The Proper Domains of Natural Laws.Jordi Cat - 2005 - Synthese 146 (3):447-487.
    The emphasis on models hasn’t completely eliminated laws from scientific discourse and philosophical discussion. Instead, I want to argue that much of physics lies beyond the strict domain of laws. I shall argue that in important cases the physics, or physical understanding, does not lie either in laws or in their properties, such as universality, consistency and symmetry. I shall argue that the domain of application commonly attributed to laws is too narrow. That is, laws can still play an important, (...)
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