Results for 'MonteCarlo simulation'

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  1. Illusion / Real.Simulation - 2007 - In Jean Baudrillard (ed.), Exiles from dialogue. Malden, Mass.: Polity.
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  2. Simulation and Similarity: Using Models to Understand the World.Michael Weisberg - 2013 - New York, US: Oxford University Press.
    one takes to be the most salient, any pair could be judged more similar to each other than to the third. Goodman uses this second problem to showthat there can be no context-free similarity metric, either in the trivial case or in a scientifically ...
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  3. Mirror neurons and the simulation theory of mind-reading.Vittorio Gallese & Alvin I. Goldman - 1998 - Trends in Cognitive Sciences 2 (12):493–501.
    A new class of visuomotor neuron has been recently discovered in the monkey’s premotor cortex: mirror neurons. These neurons respond both when a particular action is performed by the recorded monkey and when the same action, performed by another individual, is observed. Mirror neurons appear to form a cortical system matching observation and execution of goal-related motor actions. Experimental evidence suggests that a similar matching system also exists in humans. What might be the functional role of this matching system? One (...)
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  4. Why Studies of Autism Spectrum Disorders Have Failed to Resolve the Theory Theory Versus Simulation Theory Debate.Meredith R. Wilkinson & Linden J. Ball - 2012 - Review of Philosophy and Psychology 3 (2):263-291.
    The Theory Theory (TT) versus Simulation Theory (ST) debate is primarily concerned with how we understand others’ mental states. Theory theorists claim we do this using rules that are akin to theoretical laws, whereas simulation theorists claim we use our own minds to imagine ourselves in another’s position. Theorists from both camps suggest a consideration of individuals with autism spectrum disorders (ASD) can help resolve the TT/ST debate (e.g., Baron-Cohen 1995; Carruthers 1996a; Goldman 2006). We present a three-part (...)
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  5.  81
    Epistemic Entitlements and the Practice of Computer Simulation.John Symons & Ramón Alvarado - 2019 - Minds and Machines 29 (1):37-60.
    What does it mean to trust the results of a computer simulation? This paper argues that trust in simulations should be grounded in empirical evidence, good engineering practice, and established theoretical principles. Without these constraints, computer simulation risks becoming little more than speculation. We argue against two prominent positions in the epistemology of computer simulation and defend a conservative view that emphasizes the difference between the norms governing scientific investigation and those governing ordinary epistemic practices.
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  6. Confirmation via Analogue Simulation: What Dumb Holes Could Tell Us about Gravity.Radin Dardashti, Karim P. Y. Thébault & Eric Winsberg - 2017 - British Journal for the Philosophy of Science 68 (1).
    In this article we argue for the existence of ‘analogue simulation’ as a novel form of scientific inference with the potential to be confirmatory. This notion is distinct from the modes of analogical reasoning detailed in the literature, and draws inspiration from fluid dynamical ‘dumb hole’ analogues to gravitational black holes. For that case, which is considered in detail, we defend the claim that the phenomena of gravitational Hawking radiation could be confirmed in the case that its counterpart is (...)
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  7. Folk psychology as simulation.Robert M. Gordon - 1986 - Mind and Language 1 (2):158-71.
  8. (1 other version)Sympathy, simulation, and the impartial spectator.Robert M. Gordon - 1995 - Ethics 105 (4):727-742.
  9. Against simulation: The argument from error.Rebecca Saxe - 2005 - Trends in Cognitive Sciences 9 (4):174-79.
  10.  13
    Let's hope we're not living in a simulation.Eric Schwitzgebel - 2024 - Philosophy and Phenomenological Research 109 (3):1042-1048.
    In Reality+, David Chalmers suggests that it wouldn't be too bad if we lived in a computer simulation. I argue on the contrary that if we live in a simulation, we ought to attach a significant conditional credence to its being a small or brief simulation. Our existence and the existence of many of the people and things we care about would then unfortunately depend on contingencies difficult to assess and beyond our control. Furthermore, all the badness (...)
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  11. Sanctioning Models: The Epistemology of Simulation.Eric Winsberg - 1999 - Science in Context 12 (2):275-292.
    The ArgumentIn its reconstruction of scientific practice, philosophy of science has traditionally placed scientific theories in a central role, and has reduced the problem of mediating between theories and the world to formal considerations. Many applications of scientific theories, however, involve complex mathematical models whose constitutive equations are analytically unsolvable. The study of these applications often consists in developing representations of the underlying physics on a computer, and using the techniques of computer simulation in order to learn about the (...)
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  12. The Epistemic Importance of Technology in Computer Simulation and Machine Learning.Michael Resch & Andreas Kaminski - 2019 - Minds and Machines 29 (1):1-9.
    Scientificity is essentially methodology. The use of information technology as methodological instruments in science has been increasing for decades, this raises the question: Does this transform science? This question is the subject of the Special Issue in Minds and Machines “The epistemological significance of methods in computer simulation and machine learning”. We show that there is a technological change in this area that has three methodological and epistemic consequences: methodological opacity, reproducibility issues, and altered forms of justification.
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  13.  16
    Three-dimensional finite-element simulation of Zener pinning dynamics.G. Couturier†, C. Maurice‡ & R. Fortunier§ - 2003 - Philosophical Magazine 83 (30):3387-3405.
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  14. Mirroring, mindreading, and simulation.Alvin Goldman - 2008 - In Jaime A. Pineda (ed.), Mirror Neuron Systems: The Role of Mirroring Processes in Social Cognition. Springer Science. pp. 311-330.
    What is the connection between mirror processes and mindreading? The paper begins with definitions of mindreading and of mirroring processes. It then advances four theses: (T1) mirroring processes in themselves do not constitute mindreading; (T2) some types of mindreading (“low-level” mindreading) are based on mirroring processes; (T3) not all types of mindreading are based on mirroring (“high-level” mindreading); and (T4) simulation-based mindreading includes but is broader than mirroring-based mindreading. Evidence for the causal role of mirroring in mindreading is drawn (...)
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  15.  76
    Science in the age of computer simulation.Eric Winsberg - 2010 - Chicago: University of Chicago Press.
    Introduction -- Sanctioning models : theories and their scope -- Methodology for a virtual world -- A tale of two methods -- When theories shake hands -- Models of climate : values and uncertainties -- Reliability without truth -- Conclusion.
  16.  14
    The role of episodic simulation in motivating commonplace harms.Adam Morris, Brendan Gaesser & Fiery Cushman - 2022 - Cognition 225 (C):105104.
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  17.  44
    A counterfactual simulation model of causal judgments for physical events.Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado & Joshua B. Tenenbaum - 2021 - Psychological Review 128 (5):936-975.
  18. (1 other version)Folk psychology: Simulation or tacit theory?Stephen Stich & Shaun Nichols - 1992 - Mind and Language 7 (1-2):35-71.
    A central goal of contemporary cognitive science is the explanation of cognitive abilities or capacities. [Cummins 1983] During the last three decades a wide range of cognitive capacities have been subjected to careful empirical scrutiny. The adult's ability to produce and comprehend natural language sentences and the child's capacity to acquire a natural language were among the first to be explored. [Chomsky 1965, Fodor, Bever & Garrett 1974, Pinker 1989] There is also a rich literature on the ability to solve (...)
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  19.  90
    Complex Systems, Modelling and Simulation.Sam Schweber & Matthias Wächter - 2000 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 31 (4):583-609.
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  20. The threat simulation theory of the evolutionary function of dreaming: Evidence from dreams of traumatized children.Katja Valli, Antti Revonsuo, Outi Pälkäs, Kamaran Hassan Ismail, Karzan Jalal Ali & Raija-Leena Punamäki - 2005 - Consciousness and Cognition 14 (1):188-218.
    The threat simulation theory of dreaming states that dream consciousness is essentially an ancient biological defence mechanism, evolutionarily selected for its capacity to repeatedly simulate threatening events. Threat simulation during dreaming rehearses the cognitive mechanisms required for efficient threat perception and threat avoidance, leading to increased probability of reproductive success during human evolution. One hypothesis drawn from TST is that real threatening events encountered by the individual during wakefulness should lead to an increased activation of the system, a (...)
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  21.  24
    A counterfactual simulation model of causation by omission.Tobias Gerstenberg & Simon Stephan - 2021 - Cognition 216 (C):104842.
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  22.  10
    Automated model selection for simulation based on relevance reasoning.Alon Y. Levy, Yumi Iwasaki & Richard Fikes - 1997 - Artificial Intelligence 96 (2):351-394.
  23.  77
    Metaphor Interpretation as Embodied Simulation.Raymond W. Gibbs - 2006 - Mind Language 21 (3):434-458.
    Cognitive theories of metaphor understanding are typically described in terms of the mappings between different kinds of abstract, schematic, disembodied knowledge. My claim in this paper is that part of our ability to make sense of metaphorical language, both individual utterances and extended narratives, resides in the automatic construction of a simulation whereby we imagine performing the bodily actions referred to in the language. Thus, understanding metaphorical expressions like ‘grasp a concept’ or ‘get over’ an emotion involve simulating what (...)
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  24.  12
    The Computer Simulation of Behavior.B. A. Farrell - 1972 - Philosophical Quarterly 22 (86):76-77.
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  25. Theological Implications of the Simulation Argument.Eric Steinhart - 2010 - Ars Disputandi 10:23-37.
    Nick Bostrom’s Simulation Argument (SA) has many intriguing theological implications. We work out some of them here. We show how the SA can be used to develop novel versions of the Cosmological and Design Arguments. We then develop some of the affinities between Bostrom's naturalistic theogony and more traditional theological topics. We look at the resurrection of the body and at theodicy. We conclude with some reflections on the relations between the SA and Neoplatonism (friendly) and between the SA (...)
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  26.  37
    Boon and Bane: On the Role of Adjustable Parameters in Simulation Models.Hans Hasse & Johannes Lenhard - 2017 - In Martin Carrier & Johannes Lenhard (eds.), Mathematics as a Tool: Tracing New Roles of Mathematics in the Sciences. Springer Verlag.
    We claim that adjustable parameters play a crucial role in building and applying simulation models. We analyze that role and illustrate our findings using examples from equations of state in thermodynamics. In building simulation models, two types of experiments, namely, simulation and classical experiments, interact in a feedback loop, in which model parameters are adjusted. A critical discussion of how adjustable parameters function shows that they are boon and bane of simulation. They help to enlarge the (...)
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  27. Metaphor interpretation as embodied simulation.Raymond W. Gibbs - 2006 - Mind and Language 21 (3):434–458.
    Cognitive theories of metaphor understanding are typically described in terms of the mappings between different kinds of abstract, schematic, disembodied knowledge. My claim in this paper is that part of our ability to make sense of metaphorical language, both individual utterances and extended narratives, resides in the automatic construction of a simulation whereby we imagine performing the bodily actions referred to in the language. Thus, understanding metaphorical expressions like ‘grasp a concept’ or ‘get over’ an emotion involve simulating what (...)
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  28. Implications of computer science theory for the simulation hypothesis.David Wolpert - manuscript
    The simulation hypothesis has recently excited renewed interest, especially in the physics and philosophy communities. However, the hypothesis specifically concerns {computers} that simulate physical universes, which means that to properly investigate it we need to couple computer science theory with physics. Here I do this by exploiting the physical Church-Turing thesis. This allows me to introduce a preliminary investigation of some of the computer science theoretic aspects of the simulation hypothesis. In particular, building on Kleene's second recursion theorem, (...)
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  29. The Simplicity Assumption and Some Implications of the Simulation Argument for our Civilization.Lorenzo Pieri - manuscript
    According to the most common interpretation of the simulation argument, we are very likely to live in an ancestor simulation. It is interesting to ask if some families of simulations are more likely than others inside the space of all simulations. We argue that a natural probability measure is given by computational complexity: easier simulations are more likely to be run. Remarkably this allows us to extract experimental predictions from the fact that we live in a simulation. (...)
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  30.  81
    He thinks he knows: And more developmental evidence against the simulation (role taking) theory.Josef Perner & Deborrah Howes - 1992 - Mind and Language 7 (1-2):72-86.
  31. How Do Engineering Scientists Think? Model‐Based Simulation in Biomedical Engineering Research Laboratories.Nancy J. Nersessian - 2009 - Topics in Cognitive Science 1 (4):730-757.
    Designing, building, and experimenting with physical simulation models are central problem‐solving practices in the engineering sciences. Model‐based simulation is an epistemic activity that includes exploration, generation and testing of hypotheses, explanation, and inference. This paper argues that to interpret and understand how these simulation models function in creating knowledge and technologies requires construing problem solving as accomplished by a researcher–artifact system. It draws on and further develops the framework of “distributed cognition” to interpret data collected in ethnographic (...)
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  32. Natural Evil and the Simulation Hypothesis.David Kyle Johnson - 2011 - Philo 14 (2):161-175.
    Some theists maintain that they need not answer the threat posed to theistic belief by natural evil; they have reason enough to believe that God exists and it renders impotent any threat that natural evil poses to theism. Explicating how God and natural evil coexist is not necessary since they already know both exist. I will argue that, even granting theists the knowledge they claim, this does not leave them in an agreeable position. It commits the theist to a very (...)
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  33. Innocence Lost: Simulation Scenarios: Prospects and Consequences.Barry Francis Dainton - manuscript
    Those who believe suitably programmed computers could enjoy conscious experience of the sort we enjoy must accept the possibility that their own experience is being generated as part of a computerized simulation. It would be a mistake to dismiss this is just one more radical sceptical possibility: for as Bostrom has recently noted, if advances in computer technology were to continue at close to present rates, there would be a strong probability that we are each living in a computer (...)
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  34.  11
    “Aging Means to Me… That I Feel Lonely More Often”? An Experimental Study on the Effects of Age Simulation Regarding Views on Aging.Laura I. Schmidt, Anna Schlomann, Thomas Gerhardy & Hans-Werner Wahl - 2022 - Frontiers in Psychology 13.
    Over the last decades, educational programs involving age simulation suits emerged with the ambition to further the understanding of age-related loss experiences, enhance empathy and reduce negative attitudes toward older adults in healthcare settings and in younger age groups at large. However, the impact of such “instant aging” interventions on individuals’ personal views on aging have not been studied yet. The aim of the current study is to address possible effects of ASS interventions on multiple outcomes related to views (...)
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  35. A Unified Explanation of Quantum Phenomena? The Case for the Peer‐to‐Peer Simulation Hypothesis as an Interdisciplinary Research Program.Marcus Arvan - 2014 - Philosophical Forum 45 (4):433-446.
    In my 2013 article, “A New Theory of Free Will”, I argued that several serious hypotheses in philosophy and modern physics jointly entail that our reality is structurally identical to a peer-to-peer (P2P) networked computer simulation. The present paper outlines how quantum phenomena emerge naturally from the computational structure of a P2P simulation. §1 explains the P2P Hypothesis. §2 then sketches how the structure of any P2P simulation realizes quantum superposition and wave-function collapse (§2.1.), quantum indeterminacy (§2.2.), (...)
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  36.  35
    (1 other version)Varieties of off-line simulation.Alan M. Leslie, Shaun Nichols, Stephen P. Stich & David B. Klein - 1996 - In Peter Carruthers & Peter K. Smith (eds.), Theories of Theories of Mind. New York: Cambridge University Press. pp. 39-74.
    In the last few years, off-line simulation has become an increasingly important alternative to standard explanations in cognitive science. The contemporary debate began with Gordon (1986) and Goldman's (1989) off-line simulation account of our capacity to predict behavior. On their view, in predicting people's behavior we take our own decision making system `off line' and supply it with the `pretend' beliefs and desires of the person whose behavior we are trying to predict; we then let the decision maker (...)
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  37. Are We Sims? How Computer Simulations Represent and What this Means for the Simulation Argument.Claus Beisbart - 2014 - The Monist 97 (3):399-417.
    N. Bostrom’s simulation argument and two additional assumptions imply that we likely live in a computer simulation. The argument is based upon the following assumption about the workings of realistic brain simulations: The hardware of a computer on which a brain simulation is run bears a close analogy to the brain itself. To inquire whether this is so, I analyze how computer simulations trace processes in their targets. I describe simulations as fictional, mathematical, pictorial, and material models. (...)
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  38.  58
    Multiplex and Unfolding: Computer Simulation in Particle Physics.Martina Merz - 1999 - Science in Context 12 (2):293-316.
    The ArgumentWhat kind of objects are computer programs used for simulation purposes in scientific settings? The current investigation treats a special case. It focuses on “event generators,” the program packages that particle physicists construct and use to simulate mechanisms of particle production. The paper is an attempt to bring the multiplex and unfolding character of such knowledge objects to the fore: Multiple meanings and functions are embodied in the object and can be drawn out selectively according to the requirements (...)
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  39. Science and the Art of Simulation: Trust in Science.Michael Resch, Nico Formanek, Joshy Ammu & Andreas Kaminski (eds.) - 2024 - Springer.
    Trust is a central pillar of the scientific enterprise. Much work in the philosophy of science can be seen as coping with the problem of establishing trust in a certain theory, a certain model, or even science as a whole. However, trust in science is threatened by various developments. With the advent of more complex models and the increasing usage of computer methods such as machine learning and computer simulation, it seems increasingly challenging to establish trust in science. How (...)
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  40.  22
    Validation of a reflective thinking instrument for third-year undergraduate nursing students participating in high-fidelity simulation.Naomi Tutticci, Fiona Coyer, Peter A. Lewis & Mary Ryan - 2017 - Reflective Practice 18 (2):219-231.
    Background: nursing students are required to think reflectively in both real and simulated clinical practice. Although the Reflective Thinking instrument is reliable in its measurement of reflective thinking, its validity is unknown. Method: confirmatory factor analysis was undertaken in an iterative manner within a non-equivalent control-group study to measure nursing students’ reflective thinking and satisfaction with high-fidelity simulation. The validity and reliability of the Reflective Thinking instrument was tested. Results: the resulting instrument consisted of 15 items across four factors. (...)
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  41.  18
    Borges, Pierre Menard, rhizomaticity, and the simulation of palimpsestic writing.Fernando De Toro - 2018 - Semiotica 2018 (222):313-320.
    Journal Name: Semiotica Issue: Ahead of print.
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  42.  37
    From'normal appearances'to 'simulation'in interaction.Andrew Travers - 1991 - Journal for the Theory of Social Behaviour 21 (3):297–337.
    Since they are modern characters, living in an age of transition more urgently hysterical at any rate than the age which preceded it, I have drawn my people as split and vacillating, a mixture of the old and the new. and I think it not improbable that modern ideas may, through the media of newspapers and conversation, have seeped down into the social stratum which exists below stairs. My souls are agglomerations of past and present cultures, scraps from books and (...)
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  43. Diversity, Trust, and Conformity: A Simulation Study.Sina Fazelpour & Daniel Steel - 2022 - Philosophy of Science 89 (2):209-231.
    Previous simulation models have found positive effects of cognitive diversity on group performance, but have not explored effects of diversity in demographics (e.g., gender, ethnicity). In this paper, we present an agent-based model that captures two empirically supported hypotheses about how demographic diversity can improve group performance. The results of our simulations suggest that, even when social identities are not associated with distinctive task-related cognitive resources, demographic diversity can, in certain circumstances, benefit collective performance by counteracting two types of (...)
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  44.  20
    Atomic-scale computer simulation study of the interaction of Cu-rich precipitates with irradiation-produced defects in α-Fe.A. C. Arokiam, A. V. Barashev, D. J. Bacon & Y. N. Osetsky - 2007 - Philosophical Magazine 87 (6):925-943.
  45. The shared circuits model (SCM): How control, mirroring, and simulation can enable imitation, deliberation, and mindreading.Susan Hurley - 2008 - Behavioral and Brain Sciences 31 (1):1-22.
    Imitation, deliberation, and mindreading are characteristically human sociocognitive skills. Research on imitation and its role in social cognition is flourishing across various disciplines. Imitation is surveyed in this target article under headings of behavior, subpersonal mechanisms, and functions of imitation. A model is then advanced within which many of the developments surveyed can be located and explained. The shared circuits model (SCM) explains how imitation, deliberation, and mindreading can be enabled by subpersonal mechanisms of control, mirroring, and simulation. It (...)
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  46.  10
    Validation of Particle Physics Simulation.Peter Mättig - 2019 - In Claus Beisbart & Nicole J. Saam (eds.), Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives. Springer Verlag. pp. 631-660.
    The procedures of validating computer simulations of particle physicsParticle physics events at the LHCLarge Hadron Collider are summarized. Because of the strongly fluctuating particle content of LHC events and detectorDetector interactions, particle-based Monte Carlo methods are an indispensable tool for dataData analysis analysis. Simulation in particle physicsParticle physics is founded on factorizationFactorization and thus its global validation can be realized by validating each individual step in the simulation. This can be accomplished by drawing on results of previousMeasurement measurements, (...)
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  47.  34
    An intelligent interface for simulation design.Benita Cox - 1995 - Journal of Intelligent Systems 5 (2-4):203-224.
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  48. Cognitivism and computer simulation.Anthony Palmer - 1987 - In Alan Costall (ed.), Cognitive Psychology In Question. New York: St Martin's Press. pp. 55--69.
     
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  49.  17
    Sound and complete qualitative simulation is impossible.A. C. Cem Say & H. Levent Akın - 2003 - Artificial Intelligence 149 (2):251-266.
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  50.  17
    Load Balancing Selection Method and Simulation in Network Communication Based on AHP-DS Heterogeneous Network Selection Algorithm.Weiwei Xiao - 2021 - Complexity 2021:1-12.
    This article proposes an Analytic Hierarchy Process Dempster-Shafer and similarity-based network selection algorithm for the scenario of dynamic changes in user requirements and network environment; combines machine learning with network selection and proposes a decision tree-based network selection algorithm; combines multiattribute decision-making and genetic algorithm to propose a weighted Gray Relation Analysis and genetic algorithm-based network access decision algorithm. Firstly, the training data is obtained from the collaborative algorithm, and it is used as the training set, and the network attributes (...)
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