Results for 'Computational model'

1000+ found
Order:
  1.  18
    Learning General Phonological Rules From Distributional Information: A Computational Model.Shira Calamaro & Gaja Jarosz - 2015 - Cognitive Science 39 (3):647-666.
    Phonological rules create alternations in the phonetic realizations of related words. These rules must be learned by infants in order to identify the phonological inventory, the morphological structure, and the lexicon of a language. Recent work proposes a computational model for the learning of one kind of phonological alternation, allophony . This paper extends the model to account for learning of a broader set of phonological alternations and the formalization of these alternations as general rules. In Experiment (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  2.  14
    A Computational Model for the Item‐Based Induction of Construction Networks.Judith Gaspers & Philipp Cimiano - 2014 - Cognitive Science 38 (2):439-488.
    According to usage-based approaches to language acquisition, linguistic knowledge is represented in the form of constructions—form-meaning pairings—at multiple levels of abstraction and complexity. The emergence of syntactic knowledge is assumed to be a result of the gradual abstraction of lexically specific and item-based linguistic knowledge. In this article, we explore how the gradual emergence of a network consisting of constructions at varying degrees of complexity can be modeled computationally. Linguistic knowledge is learned by observing natural language utterances in an ambiguous (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark  
  3.  9
    Learning Words From Sights and Sounds: A Computational Model.Deb K. Roy & Alex P. Pentland - 2002 - Cognitive Science 26 (1):113-146.
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   30 citations  
  4.  12
    A Computational Model of Frontal Lobe Dysfunction: Working Memory and the Tower of Hanoi Task.Vinod Goela, David Pullara & Jordan Grafman - 2001 - Cognitive Science 25 (2):287-313.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  5. The Computational Model of the Mind and Philosophical Functionalism.Richard Double - 1987 - Behaviorism 15 (2):131-39.
    A distinction between the use of computational models in cognitive science and a philosophically inspired reductivist thesis is developed. PF is found questionable for phenomenal states, and, by analogy, dubious for the nonphenomenal introspectible mental states of common sense. PF is also shown to be threatened for the sub-cognitive theoretical states of cognitive science by the work of the so-called New Connectionists. CMM is shown to be less vulnerable to these criticisms.
     
    Export citation  
     
    Bookmark  
  6.  33
    Concepts as Semantic Pointers: A Framework and Computational Model.Peter Blouw, Eugene Solodkin, Paul Thagard & Chris Eliasmith - 2016 - Cognitive Science 40 (5):1128-1162.
    The reconciliation of theories of concepts based on prototypes, exemplars, and theory-like structures is a longstanding problem in cognitive science. In response to this problem, researchers have recently tended to adopt either hybrid theories that combine various kinds of representational structure, or eliminative theories that replace concepts with a more finely grained taxonomy of mental representations. In this paper, we describe an alternative approach involving a single class of mental representations called “semantic pointers.” Semantic pointers are symbol-like representations that result (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   8 citations  
  7.  91
    Comprehension of Simple Quantifiers: Empirical Evaluation of a Computational Model.Jakub Szymanik & Marcin Zajenkowski - 2010 - Cognitive Science 34 (3):521-532.
    We examine the verification of simple quantifiers in natural language from a computational model perspective. We refer to previous neuropsychological investigations of the same problem and suggest extending their experimental setting. Moreover, we give some direct empirical evidence linking computational complexity predictions with cognitive reality.<br>In the empirical study we compare time needed for understanding different types of quantifiers. We show that the computational distinction between quantifiers recognized by finite-automata and push-down automata is psychologically relevant. Our research (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   20 citations  
  8.  44
    A Probabilistic Computational Model of Cross-Situational Word Learning.Afsaneh Fazly, Afra Alishahi & Suzanne Stevenson - 2010 - Cognitive Science 34 (6):1017-1063.
    Words are the essence of communication: They are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisition: Children must first learn words before they can combine them into complex utterances. Many theories have been developed to explain the impressive efficiency of young children in acquiring the vocabulary of their language, as well as the developmental patterns observed in the course of lexical acquisition. A major source of disagreement (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   18 citations  
  9.  15
    A Contrast‐Based Computational Model of Surprise and Its Applications.Luis Macedo & Amílcar Cardoso - 2019 - Topics in Cognitive Science 11 (1):88-102.
    We review our work on a contrast-based computational model of surprise and its applications. The review is contextualized within related research from psychology, philosophy, and particularly artificial intelligence. Influenced by psychological theories of surprise, the model assumes that surprise-eliciting events initiate a series of cognitive processes that begin with the appraisal of the event as unexpected, continue with the interruption of ongoing activity and the focusing of attention on the unexpected event, and culminate in the analysis and (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  10.  28
    Idiom Variation: Experimental Data and a Blueprint of a Computational Model.Kristina Geeraert, John Newman & R. Harald Baayen - 2017 - Topics in Cognitive Science 9 (3):653-669.
    Corpus surveys have shown that the exact forms with which idioms are realized are subject to variation. We report a rating experiment showing that such alternative realizations have varying degrees of acceptability. Idiom variation challenges processing theories associating idioms with fixed multi-word form units, fixed configurations of words, or fixed superlemmas, as they do not explain how it can be that speakers produce variant forms that listeners can still make sense of. A computational model simulating comprehension with naive (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  11.  58
    The Perception‐Action Model: Counting Computational Mechanisms.Thor Grünbaum - 2017 - Mind and Language 32 (4):416-445.
    Milner and Goodale's Two Visual Systems Hypothesis is regarded as common ground in recent discussions of visual consciousness. A central part of TVSH is a functional model of vision and action. In this paper, I provide a brief overview of these current discussions and argue that there is ambiguity between a strong and a weak version of PAM. I argue that, given a standard way of individuating computational mechanisms, the available evidence cannot be used to distinguish between these (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  12.  22
    A Computational Model of Linguistic Humor in Puns.Justine T. Kao, Roger Levy & Noah D. Goodman - 2016 - Cognitive Science 40 (5):1270-1285.
    Humor plays an essential role in human interactions. Precisely what makes something funny, however, remains elusive. While research on natural language understanding has made significant advancements in recent years, there has been little direct integration of humor research with computational models of language understanding. In this paper, we propose two information-theoretic measures—ambiguity and distinctiveness—derived from a simple model of sentence processing. We test these measures on a set of puns and regular sentences and show that they correlate significantly (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  13.  5
    Canalization of Language Structure From Environmental Constraints: A Computational Model of Word Learning From Multiple Cues.Padraic Monaghan - 2017 - Topics in Cognitive Science 9 (1):21-34.
    There is substantial variation in language experience, yet there is surprising similarity in the language structure acquired. Constraints on language structure may be external modulators that result in this canalization of language structure, or else they may derive from the broader, communicative environment in which language is acquired. In this paper, the latter perspective is tested for its adequacy in explaining robustness of language learning to environmental variation. A computational model of word learning from cross-situational, multimodal information was (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  14.  4
    Canalization of Language Structure From Environmental Constraints: A Computational Model of Word Learning From Multiple Cues.Padraic Monaghan - 2016 - Topics in Cognitive Science 8 (4).
    There is substantial variation in language experience, yet there is surprising similarity in the language structure acquired. Constraints on language structure may be external modulators that result in this canalization of language structure, or else they may derive from the broader, communicative environment in which language is acquired. In this paper, the latter perspective is tested for its adequacy in explaining robustness of language learning to environmental variation. A computational model of word learning from cross-situational, multimodal information was (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  15.  16
    A Computational Model of Pragma-Dialectics as a Tool for its Analysis and Evaluation.Alejandro Secades - 2015 - Informal Logic 35 (3):342-377.
    The overall goal of this paper is to show that computational modelling of argumentation theories is a useful tool to deepen them. Specifically, it provides a basic computational formalization of part of Pragma-dialectics’ model of a critical discussion, which serves as a basis for analyzing this influential theory of argumentation. Such analysis reveals some weaknesses and leaves some questions opened for Pragma-dialectics. Particularly, it shows that the model of a critical discussion is not independent of the (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  16.  49
    How WM Load Influences Linguistic Processing in Adults: A Computational Model of Pronoun Interpretation in Discourse.Jacolien Rij, Hedderik Rijn & Petra Hendriks - 2013 - Topics in Cognitive Science 5 (3):564-580.
    This paper presents a study of the effect of working memory load on the interpretation of pronouns in different discourse contexts: stories with and without a topic shift. We discuss a computational model (in ACT-R, Anderson, 2007) to explain how referring expressions are acquired and used. On the basis of simulations of this model, it is predicted that WM constraints only affect adults' pronoun resolution in stories with a topic shift, but not in stories without a topic (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  17.  21
    Model Theory of Deduction: A Unified Computational Approach.Bruno G. Bara, Monica Bucciarelli & Vincenzo Lombardo - 2001 - Cognitive Science 25 (6):839-901.
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   8 citations  
  18.  36
    Dynamic Imagery: A Computational Model of Motion and Visual Analogy.David Croft & Paul Thagard - unknown
    This paper describes DIVA (Dynamic Imagery for Visual Analogy), a computational model of visual imagery based on the scene graph, a powerful representational structure widely used in computer graphics. Scene graphs make possible the visual display of complex objects, including the motions of individual objects. Our model combines a semantic-network memory system with computational procedures based on scene graphs. The model can account for people’s ability to produce visual images of moving objects, in particular the (...)
    Direct download  
    Translate
     
     
    Export citation  
     
    Bookmark   3 citations  
  19.  11
    A Computational Model of Argumentation in Agreement Negotiation Processes.Mare Koit & Haldur Õim - 2015 - Argument and Computation 6 (2):101-129.
    The paper describes a computational model that we have implemented in an experimental dialogue system. Communication in a natural language between two participants A and B is considered, where A has a communicative goal that his/her partner B will make a decision to perform an action D. A argues the usefulness, pleasantness, etc. of D, in order to guide B's reasoning in a desirable direction. A computational model of argumentation is developed, which includes reasoning. Our (...) is based on the studies in the common-sense conception of how the human mind works in such situations. Theoretical considerations are followed by an analysis of Estonian spoken human–human dialogues. First, calls of clients to travel agencies are studied where a travel agent could use various arguments in order to persuade a client to book a trip. The analysis demonstrates that clients are primarily looking for information; argumentation occurs in a small number of dialogues. Secondly, calls of s... (shrink)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  20.  26
    Meme and Variations: A Computational Model of Cultural Evolution.L. Gabora - 1995 - In [Book Chapter].
    This paper describes a computational model of how ideas, or memes, evolve through the processes of variation, selection, and replication. Every iteration, each neural-network based agent in an artificial society has the opportunity to acquire a new meme, either through 1) INNOVATION, by mutating a previously-learned meme, or 2) IMITATION, by copying a meme performed by a neighbor. Imitation, mental simulation, and using past experience to bias mutation all increase the rate at which fitter memes evolve. Memes at (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  21.  20
    Representing, Running, and Revising Mental Models: A Computational Model.Scott Friedman, Kenneth Forbus & Bruce Sherin - 2018 - Cognitive Science 42 (4):1110-1145.
    People use commonsense science knowledge to flexibly explain, predict, and manipulate the world around them, yet we lack computational models of how this commonsense science knowledge is represented, acquired, utilized, and revised. This is an important challenge for cognitive science: Building higher order computational models in this area will help characterize one of the hallmarks of human reasoning, and it will allow us to build more robust reasoning systems. This paper presents a novel assembled coherence theory of human (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark  
  22.  4
    Epistemics: Epistemic Justification Theory Naturalized and the Computational Model of Mind.Jane Duran - 1989 - Upa.
    This author explores the intersection between cognitive science, as exemplified by the computational model of mind, and epistemologyó specifically, epistemic justification theory. Her analysis leads to the conclusion that some very specific and somewhat technical issues in epistemic justification theory can be at least partially resolved, if not entirely cleared up, by the use of the computational model. The third and fourth chapters of this work are devoted directly to that effort. Chapter one examines in detail (...)
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  23.  24
    Investigating Extended Embodiment Using a Computational Model and Human Experimentation.Y. Sato, H. Iizuka & T. Ikegami - 2013 - Constructivist Foundations 9 (1):73-84.
    Context: Our body schema is not restricted to biological body boundaries (such as the skin), as can be seen in the use of a cane by a person who is visually impaired or the “rubber hands” experiment. The tool becomes a part of the body schema when the focus of our attention is shifted from the tool to the task to be performed. Problem: A body schema is formed through interactions among brain, body, tool, and environment. Nevertheless, the dynamic mechanisms (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  24. A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents.Wendell Wallach, Stan Franklin & Colin Allen - 2010 - Topics in Cognitive Science 2 (3):454-485.
    Recently, there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher-order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can be tested in computer simulations such as software agents or embodied robots. The push to implement computational models of this kind has created the field of artificial general intelligence (AGI). Moral decision making is arguably one of the most challenging tasks (...)
    Direct download (11 more)  
     
    Export citation  
     
    Bookmark   10 citations  
  25.  15
    Modeling complexity: cognitive constraints and computational model-building in integrative systems biology.Miles MacLeod & Nancy J. Nersessian - 2018 - History and Philosophy of the Life Sciences 40 (1):17.
    Modern integrative systems biology defines itself by the complexity of the problems it takes on through computational modeling and simulation. However in integrative systems biology computers do not solve problems alone. Problem solving depends as ever on human cognitive resources. Current philosophical accounts hint at their importance, but it remains to be understood what roles human cognition plays in computational modeling. In this paper we focus on practices through which modelers in systems biology use computational simulation and (...)
    Direct download (8 more)  
    Translate
     
     
    Export citation  
     
    Bookmark   2 citations  
  26.  21
    Bootstrapping the Lexicon: A Computational Model of Infant Speech Segmentation.Eleanor Olds Batchelder - 2002 - Cognition 83 (2):167-206.
    Prelinguistic infants must find a way to isolate meaningful chunks from the continuous streams of speech that they hear. BootLex, a new model which uses distributional cues to build a lexicon, demonstrates how much can be accomplished using this single source of information. This conceptually simple probabilistic algorithm achieves significant segmentation results on various kinds of language corpora - English, Japanese, and Spanish; child- and adult-directed speech, and written texts; and several variations in coding structure - and reveals which (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   7 citations  
  27.  6
    A Computational Model of the Belief System Under the Scope of Social Communication.David Méndez, Gregorio Miguel Casado, Higinio Mora & María Pont - 2016 - Foundations of Science 21 (1):215-223.
    This paper presents an approach to the belief system based on a computational framework in three levels: first, the logic level with the definition of binary local rules, second, the arithmetic level with the definition of recursive functions and finally the behavioural level with the definition of a recursive construction pattern. Social communication is achieved when different beliefs are expressed, modified, propagated and shared through social nets. This approach is useful to mimic the belief system because the defined functions (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  28.  15
    A Computational Model of the Belief System Under the Scope of Social Communication.María Teresa Signes Pont, Higinio Mora Mora, Gregorio De Miguel Casado & David Gil Méndez - 2016 - Foundations of Science 21 (1):215-223.
    This paper presents an approach to the belief system based on a computational framework in three levels: first, the logic level with the definition of binary local rules, second, the arithmetic level with the definition of recursive functions and finally the behavioural level with the definition of a recursive construction pattern. Social communication is achieved when different beliefs are expressed, modified, propagated and shared through social nets. This approach is useful to mimic the belief system because the defined functions (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  29.  10
    Preemption in Singular Causation Judgments: A Computational Model.Simon Stephan & Michael R. Waldmann - 2018 - Topics in Cognitive Science 10 (1):242-257.
    Causal queries about singular cases are ubiquitous, yet the question of how we assess whether a particular outcome was actually caused by a specific potential cause turns out to be difficult to answer. Relying on the causal power framework, Cheng and Novick () proposed a model of causal attribution intended to help answer this question. We challenge this model, both conceptually and empirically. We argue that the central problem of this model is that it treats causal powers (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark  
  30.  14
    A Computational Model of Event Segmentation From Perceptual Prediction.Jeremy R. Reynolds, Jeffrey M. Zacks & Todd S. Braver - 2007 - Cognitive Science 31 (4):613-643.
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   19 citations  
  31.  25
    Seeing Patterns in Randomness: A Computational Model of Surprise.Phil Maguire, Philippe Moser, Rebecca Maguire & Mark T. Keane - 2019 - Topics in Cognitive Science 11 (1):103-118.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  32.  8
    Area Activation: A Computational Model of Saccadic Selectivity in Visual Search.Marc Pomplun, Eyal M. Reingold & Jiye Shen - 2003 - Cognitive Science 27 (2):299-312.
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  33.  12
    More Than the Eye Can See: A Computational Model of Color Term Acquisition and Color Discrimination.Barend Beekhuizen & Suzanne Stevenson - 2018 - Cognitive Science 42 (8):2699-2734.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  34.  13
    A Computational Model of the Self-Teaching Hypothesis Based on the Dual-Route Cascaded Model of Reading.Stephen C. Pritchard, Max Coltheart, Eva Marinus & Anne Castles - 2018 - Cognitive Science 42 (3):722-770.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  35.  19
    How Do We Understand the Meaning of Connotations? A Cognitive Computational Model.Yair Neuman, Yochai Cohen & Dan Assaf - 2015 - Semiotica 2015 (205):1-16.
    Name der Zeitschrift: Semiotica Jahrgang: 2015 Heft: 205 Seiten: 1-16.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  36.  47
    Scientific Theories of Computational Systems in Model Checking.Nicola Angius & Guglielmo Tamburrini - 2011 - Minds and Machines 21 (2):323-336.
    Model checking, a prominent formal method used to predict and explain the behaviour of software and hardware systems, is examined on the basis of reflective work in the philosophy of science concerning the ontology of scientific theories and model-based reasoning. The empirical theories of computational systems that model checking techniques enable one to build are identified, in the light of the semantic conception of scientific theories, with families of models that are interconnected by simulation relations. And (...)
    Direct download (15 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  37.  11
    A Computational Model of Semantic Memory Impairment: Modality Specificity and Emergent Category Specificity.Martha J. Farah & James L. McClelland - 1991 - Journal of Experimental Psychology: General 120 (4):339-357.
  38.  43
    A Computational Model of Ratio Decidendi.L. Karl Branting - 1993 - Artificial Intelligence and Law 2 (1):1-31.
    This paper proposes a model ofratio decidendi as a justification structure consisting of a series of reasoning steps, some of which relate abstract predicates to other abstract predicates and some of which relate abstract predicates to specific facts. This model satisfies an important set of characteristics ofratio decidendi identified from the jurisprudential literature. In particular, the model shows how the theory under which a case is decided controls its precedential effect. By contrast, a purely exemplar-based model (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   12 citations  
  39.  25
    Computational Exploration of Metaphor Comprehension Processes Using a Semantic Space Model.Akira Utsumi - 2011 - Cognitive Science 35 (2):251-296.
    Recent metaphor research has revealed that metaphor comprehension involves both categorization and comparison processes. This finding has triggered the following central question: Which property determines the choice between these two processes for metaphor comprehension? Three competing views have been proposed to answer this question: the conventionality view (Bowdle & Gentner, 2005), aptness view (Glucksberg & Haught, 2006b), and interpretive diversity view (Utsumi, 2007); these views, respectively, argue that vehicle conventionality, metaphor aptness, and interpretive diversity determine the choice between the categorization (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  40.  20
    Computational Agents as a Test-Bed to Study the Philosophical Dialogue Model "DE": A Development of Mackenzie's DC.Tangming Yuan, David Moore & Alec Grierson - 2003 - Informal Logic 23 (3):263-284.
    This paper reports research concerning a suitable dialogue model for human computer debate. In particular, we consider the adoption of Moore's (1993) utilization of Mackenzie's (1979) game DC, means of using computational agents as the test-bed to facilitate evaluation of the proposed model, and means of using the evaluation results as motivation to further develop a dialogue model, which can prevent fallacious argument and common errors. It is anticipated that this work will contribute toward the development (...)
    Direct download (11 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  41.  24
    A Computational Model of the Circulating Renin-Angiotensin System and Blood Pressure Regulation.François Guillaud & Patrick Hannaert - 2010 - Acta Biotheoretica 58 (2-3):143-170.
    The renin-angiotensin system (RAS) is critical in sodium and blood pressure (BP) regulation, and in cardiovascular-renal (CVR) diseases and therapeutics. As a contribution to SAPHIR project, we present a realistic computer model of renin production and circulating RAS, integrated into Guyton’s circulatory model ( GCM ). Juxtaglomerular apparatus, JGA , and Plasma modules were implemented in C ++/M2SL (Multi-formalism Multi-resolution Simulation Library) for fusion with GCM . Matlab © optimization toolboxes were used for parameter identification. In JGA , (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  42.  42
    A Context-Based Computational Model of Language Acquisition by Infants and Children.Steven Walczak - 2002 - Foundations of Science 7 (4):393-411.
    This research attempts to understand howchildren learn to use language. Instead ofusing syntax-based grammar rules to model thedifferences between children''s language andadult language, as has been done in the past, anew model is proposed. In the new researchmodel, children acquire language by listeningto the examples of speech that they hear intheir environment and subsequently use thespeech examples that have been previously heardin similar contextual situations. A computermodel is generated to simulate this new modelof language acquisition. The MALL computerprogram (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  43.  20
    What Forms the Chunks in a Subject's Performance? Lessons From the CHREST Computational Model of Learning.Peter C. R. Lane, Fernand Gobet & Peter C.-H. Cheng - 2001 - Behavioral and Brain Sciences 24 (1):128-129.
    Computational models of learning provide an alternative technique for identifying the number and type of chunks used by a subject in a specific task. Results from applying CHREST to chess expertise support the theoretical framework of Cowan and a limit in visual short-term memory capacity of 3–4 looms. An application to learning from diagrams illustrates different identifiable forms of chunk.
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  44.  26
    A Cybernetic Computational Model for Learning and Skill Acquisition.B. Scott & A. Bansal - 2013 - Constructivist Foundations 9 (1):125-136.
    Context: Although there are rich descriptive accounts of skill acquisition in the literature, there are no satisfactory explanatory models of the cognitive processes involved. Problem: The aim of the paper is to explain some key phenomena frequently observed in the acquisition of motor skills: the loss of conscious access to knowledge of the structure of a skill and the awareness that an error has been made prior to the receipt of knowledge of results. Method: In the 1970s, the first author (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  45.  1
    The Objects of Consciousness: A Non-Computational Model of Cell Assemblies.J. Roberts - 2017 - Journal of Consciousness Studies 24 (1-2):228-253.
    The premise of this paper is that an adequate model of consciousness will be able to account for the fundamental duality in experience typified by thought and feeling, objectivity and subjectivity, science and art, and that it will do so without any of these terms assimilating its counterpart. The paper argues that such an account is possible using existing models of the cell assembly, but only if consciousness is conceived in structural rather than information processing terms. To this end, (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  46.  5
    Interdisciplinary character of the computational model in the solution of health problems.González Carbonell Raide Alfonso & Nápoles Padrón - 2014 - Humanidades Médicas 14 (3):646-658.
    La solución de los problemas de salud requiere de la interrelación entre diferentes ramas científicas y tecnológicas, tales como la Biomecánica, las tecnologías de la información, la ingeniería y las ciencias médicas. La importancia de la comunicación interdisciplinaria en las universidades fundamenta la creación de un grupo de investigación que fusiona el conocimiento de la mecánica clásica con las disciplinas de la salud y la participación de pacientes, técnicos, ingenieros, médicos y estudiantes. En el trabajo se realiza una reflexión sobre (...)
    Direct download  
    Translate
     
     
    Export citation  
     
    Bookmark  
  47.  23
    A Computational Model of Inhibitory Control in Frontal Cortex and Basal Ganglia.Thomas V. Wiecki & Michael J. Frank - 2013 - Psychological Review 120 (2):329-355.
  48.  26
    Syntactic Structure Assembly in Human Parsing: A Computational Model Based on Competitive Inhibition and a Lexicalist Grammar.Theo Vosse & Gerard Kempen - 2000 - Cognition 75 (2):105-143.
  49.  5
    Item-Specific Adaptation and the Conflict-Monitoring Hypothesis: A Computational Model.Chris Blais, Serje Robidoux, Evan F. Risko & Derek Besner - 2007 - Psychological Review 114 (4):1076-1086.
  50.  4
    Multiple Axialities: A Computational Model of the Axial Age.F. LeRon Shults, Wesley J. Wildman, Justin E. Lane, Christopher J. Lynch & Saikou Diallo - 2018 - Journal of Cognition and Culture 18 (5):537-564.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
1 — 50 / 1000