Results for 'Unified cognitive modeling'

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  1. A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture.David Pierre Leibovitz - 2013 - Dissertation, Carleton University
    The Emergic Cognitive Model (ECM) is a unified computational model of visual filling-in based on the Emergic Network architecture. The Emergic Network was designed to help realize systems undergoing continuous change. In this thesis, eight different filling-in phenomena are demonstrated under a regime of continuous eye movement (and under static eye conditions as well). -/- ECM indirectly demonstrates the power of unification inherent with Emergic Networks when cognition is decomposed according to finer-grained functions supporting change. These can interact (...)
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  2. Grounding Social Sciences in Cognitive Sciences. [REVIEW]Jeffrey White - 2015 - Philosophical Psychology 28 (8):1249-1253.
    Readers of Philosophical Psychology may be most familiar with Ron Sun by way of an article recently appearing in this journal on creative composition expressed within his own hybrid computational intelligence model, CLARION (Sun, 2013). That article represents nearly two decades’ work in situated agency stressing the importance of psychologically realistic architectures and processes in the articulation of both functional, and reflectively informative, AI and agent- level social-cultural simulations. Readers may be less familiar with Sun’s 2001 “prolegomena” to related multi-agent (...)
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  3. Swahili Conditional Constructions in Embodied Frames of Reference: Modeling Semantics, Pragmatics, and Context-Sensitivity in UML Mental Spaces.Roderick Fish - 2020 - Dissertation, Trinity Western University
    Studies of several languages, including Swahili [swa], suggest that realis (actual, realizable) and irrealis (unlikely, counterfactual) meanings vary along a scale (e.g., 0.0–1.0). T-values (True, False) and P-values (probability) account for this pattern. However, logic cannot describe or explain (a) epistemic stances toward beliefs, (b) deontic and dynamic stances toward states-of-being and actions, and (c) context-sensitivity in conditional interpretations. (a)–(b) are deictic properties (positions, distance) of ‘embodied’ Frames of Reference (FoRs)—space-time loci in which agents perceive and from which they contextually (...)
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  4. Kuznetsov V. From studying theoretical physics to philosophical modeling scientific theories: Under influence of Pavel Kopnin and his school.Volodymyr Kuznetsov - 2017 - ФІЛОСОФСЬКІ ДІАЛОГИ’2016 ІСТОРІЯ ТА СУЧАСНІСТЬ У НАУКОВИХ РОЗМИСЛАХ ІНСТИТУТУ ФІЛОСОФІЇ 11:62-92.
    The paper explicates the stages of the author’s philosophical evolution in the light of Kopnin’s ideas and heritage. Starting from Kopnin’s understanding of dialectical materialism, the author has stated that category transformations of physics has opened from conceptualization of immutability to mutability and then to interaction, evolvement and emergence. He has connected the problem of physical cognition universals with an elaboration of the specific system of tools and methods of identifying, individuating and distinguishing objects from a scientific theory domain. The (...)
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  5.  70
    Towards Model-Based Model of Cognition.Karlis Podnieks - 2009 - The Reasoner 3 (6):5--6.
    Models are the ultimate results of all (scientific, non-scientific, and anti-scientific) kinds of cognition. Therefore, philosophy of cognition should start with the following fundamental distinction: there are models, and there are means of model-building. Laws of nature and theories are useful only as a means of model-building. If it's true that models are the ultimate results of cognition, then shouldn't we try reordering the field, starting with the notion of model? In this way, couldn't we obtain a unified and (...)
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  6. Ecological-Enactive Scientific Cognition: Modeling and Material Engagement.Giovanni Rolla & Felipe Novaes - 2020 - Phenomenology and the Cognitive Sciences 1:1-19.
    Ecological-enactive approaches to cognition aim to explain cognition in terms of the dynamic coupling between agent and environment. Accordingly, cognition of one’s immediate environment (which is sometimes labeled “basic” cognition) depends on enaction and the picking up of affordances. However, ecological-enactive views supposedly fail to account for what is sometimes called “higher” cognition, i.e., cognition about potentially absent targets, which therefore can only be explained by postulating representational content. This challenge levelled against ecological-enactive approaches highlights a putative explanatory gap between (...)
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  7. Teleosemantic Modeling of Cognitive Representations.Marc Artiga - 2016 - Biology and Philosophy 31 (4):483-505.
    Naturalistic theories of representation seek to specify the conditions that must be met for an entity to represent another entity. Although these approaches have been relatively successful in certain areas, such as communication theory or genetics, many doubt that they can be employed to naturalize complex cognitive representations. In this essay I identify some of the difficulties for developing a teleosemantic theory of cognitive representations and provide a strategy for accommodating them: to look into models of signaling in (...)
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  8. A Unified Model of the Division of Cognitive Labor.Rogier De Langhe - 2014 - Philosophy of Science 81 (3):444-459.
    Current theories of the division of cognitive labor are confined to the “context of justification,” assuming exogenous theories. But new theories are made from the same labor that is used for developing existing theories, and if none of this labor is ever allocated to create new alternatives, then scientific progress is impossible. A unified model is proposed in which theories are no longer given but a function of the division of labor in the model itself. The interactions of (...)
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  9.  19
    Heterogeneous Proxytypes as a Unifying Cognitive Framework for Conceptual Representation and Reasoning in Artificial Systems.Antonio Lieto - 2021 - In CARLA @FOIS Proceeding. Amsterdam, Netherlands: IOS Press.
    The paper presents the heterogeneous proxytypes hypothesis as a cognitively-inspired computational framework able to reconcile, in both natural and artificial systems, different theories of typicality about conceptual representation and reasoning that have been traditionally seen as incompatible. In particular, through the Dual PECCS system and its evolution, it shows how prototypes, exemplars and theory-theory like conceptual representations can be integrated in a cognitive artificial agent (thus extending its categorization capabilities) and, in addition, can provide useful insights in the context (...)
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  10. Representational Unification in Cognitive Science: Is Embodied Cognition a Unifying Perspective?Marcin Miłkowski & Przemysław Nowakowski - 2019 - Synthese 199 (Suppl 1):67-88.
    In this paper, we defend a novel, multidimensional account of representational unification, which we distinguish from integration. The dimensions of unity are simplicity, generality and scope, non-monstrosity, and systematization. In our account, unification is a graded property. The account is used to investigate the issue of how research traditions contribute to representational unification, focusing on embodied cognition in cognitive science. Embodied cognition contributes to unification even if it fails to offer a grand unification of cognitive science. The study (...)
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  11.  71
    Modeling Artificial Agents’ Actions in Context – a Deontic Cognitive Event Ontology.Miroslav Vacura - 2020 - Applied Ontology 15 (4):493-527.
    Although there have been efforts to integrate Semantic Web technologies and artificial agents related AI research approaches, they remain relatively isolated from each other. Herein, we introduce a new ontology framework designed to support the knowledge representation of artificial agents’ actions within the context of the actions of other autonomous agents and inspired by standard cognitive architectures. The framework consists of four parts: 1) an event ontology for information pertaining to actions and events; 2) an epistemic ontology containing facts (...)
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  12.  83
    Unifying the Mind: Cognitive Representations as Graphical Models. [REVIEW]Christopher Burr - 2016 - Philosophical Psychology 29 (5):789-791.
    Book review of Danks, D. (2014) Unifying the Mind: Cognitive Representations as Graphical Models.
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  13. Unifying Morality’s Influence on Non-Moral Judgments: The Relevance of Alternative Possibilities.Jonathan Phillips, Jamie B. Luguri & Joshua Knobe - 2015 - Cognition 145:30-42.
    Past work has demonstrated that people’s moral judgments can influence their judgments in a number of domains that might seem to involve straightforward matters of fact, including judgments about freedom, causation, the doing/allowing distinction, and intentional action. The present studies explore whether the effect of morality in these four domains can be explained by changes in the relevance of alternative possibilities. More precisely, we propose that moral judgment influences the degree to which people regard certain alternative possibilities as relevant, which (...)
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  14.  90
    Modeling Epistemology: Examples and Analysis in Computational Philosophy of Science.Patrick Grim - 2019 - In A. Del Barrio, C. J. Lynch, F. J. Barros & X. Hu (eds.), IEEE SpringSim Proceedings 2019. IEEE. pp. 1-12.
    What structure of scientific communication and cooperation, between what kinds of investigators, is best positioned to lead us to the truth? Against an outline of standard philosophical characteristics and a recent turn to social epistemology, this paper surveys highlights within two strands of computational philosophy of science that attempt to work toward an answer to this question. Both strands emerge from abstract rational choice theory and the analytic tradition in philosophy of science rather than postmodern sociology of science. The first (...)
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  15. Computers, Dynamical Systems, Phenomena, and the Mind.Marco Giunti - 1992 - Dissertation, Indiana University
    This work addresses a broad range of questions which belong to four fields: computation theory, general philosophy of science, philosophy of cognitive science, and philosophy of mind. Dynamical system theory provides the framework for a unified treatment of these questions. ;The main goal of this dissertation is to propose a new view of the aims and methods of cognitive science--the dynamical approach . According to this view, the object of cognitive science is a particular set of (...)
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  16.  93
    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: Social Behaviour and Communication in Biological and Artificial Systems 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 (...)
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  17. A Unified Account of General Learning Mechanisms and Theory‐of‐Mind Development.Theodore Bach - 2014 - Mind and Language 29 (3):351-381.
    Modularity theorists have challenged that there are, or could be, general learning mechanisms that explain theory-of-mind development. In response, supporters of the ‘scientific theory-theory’ account of theory-of-mind development have appealed to children's use of auxiliary hypotheses and probabilistic causal modeling. This article argues that these general learning mechanisms are not sufficient to meet the modularist's challenge. The article then explores an alternative domain-general learning mechanism by proposing that children grasp the concept belief through the progressive alignment of relational structure (...)
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  18. Information: From Philosophic to Physics Concepts for Informational Modeling of Consciousness.Florin Gaiseanu - 2018 - Philosophy Study 8 (8).
    Information was a frequently used concept in many fields of investigation. However, this concept is still not really understood, when it is referred for instance to consciousness and its informational structure. In this paper it is followed the concept of information from philosophical to physics perspective, showing especially how this concept could be extended to matter in general and to the living in particular, as a result of the intimate interaction between matter and information, the human body appearing as a (...)
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  19. Bayesian Cognitive Science, Unification, and Explanation.Stephan Hartmann & Matteo Colombo - 2017 - British Journal for the Philosophy of Science 68 (2).
    It is often claimed that the greatest value of the Bayesian framework in cognitive science consists in its unifying power. Several Bayesian cognitive scientists assume that unification is obviously linked to explanatory power. But this link is not obvious, as unification in science is a heterogeneous notion, which may have little to do with explanation. While a crucial feature of most adequate explanations in cognitive science is that they reveal aspects of the causal mechanism that produces the (...)
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  20. Is Scientific Modeling an Indirect Methodology?Karlis Podnieks - 2009 - The Reasoner 3 (1):4-5.
    If we consider modeling not as a heap of contingent structures, but (where possible) as evolving coordinated systems of models, then we can reasonably explain as "direct representations" even some very complicated model-based cognitive situations. Scientific modeling is not as indirect as it may seem. "Direct theorizing" comes later, as the result of a successful model evolution.
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  21. From Computer Metaphor to Computational Modeling: The Evolution of Computationalism.Marcin Miłkowski - 2018 - Minds and Machines 28 (3):515-541.
    In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical assumptions are that nervous systems are computational, and that information processing is necessary for cognition to occur. First, the primary reasons why information processing should explain cognition are reviewed. Then I argue that early formulations of these reasons are outdated. However, by relying on the mechanistic account of physical computation, they can be recast in a compelling way. Next, I contrast two computational models of working memory (...)
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  22. Bridging Emotion Theory and Neurobiology Through Dynamic Systems Modeling.Marc D. Lewis - 2005 - Behavioral and Brain Sciences 28 (2):169-194.
    Efforts to bridge emotion theory with neurobiology can be facilitated by dynamic systems (DS) modeling. DS principles stipulate higher-order wholes emerging from lower-order constituents through bidirectional causal processes cognition relations. I then present a psychological model based on this reconceptualization, identifying trigger, self-amplification, and self-stabilization phases of emotion-appraisal states, leading to consolidating traits. The article goes on to describe neural structures and functions involved in appraisal and emotion, as well as DS mechanisms of integration by which they interact. These (...)
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  23. Human Reasoning and Cognitive Science.Keith Stenning & Michiel van Lambalgen - 2008 - Boston, USA: MIT Press.
    In the late summer of 1998, the authors, a cognitive scientist and a logician, started talking about the relevance of modern mathematical logic to the study of human reasoning, and we have been talking ever since. This book is an interim report of that conversation. It argues that results such as those on the Wason selection task, purportedly showing the irrelevance of formal logic to actual human reasoning, have been widely misinterpreted, mainly because the picture of logic current in (...)
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  24. Breathing New Life Into Cognitive Science.Tom Froese - 2011 - Avant: Trends in Interdisciplinary Studies 2 (1):113–129.
    In this article I take an unusual starting point from which to argue for a unified cognitive science, namely a position defined by what is sometimes called the ‘life-mind continuity thesis’. Accordingly, rather than taking a widely accepted starting point for granted and using it in order to propose answers to some well defined questions, I must first establish that the idea of life-mind continuity can amount to a proper starting point at all. To begin with, I therefore (...)
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  25. Strategic Reasoning: Building Cognitive Models From Logical Formulas.Sujata Ghosh, Ben Meijering & Rineke Verbrugge - 2014 - Journal of Logic, Language and Information 23 (1):1-29.
    This paper presents an attempt to bridge the gap between logical and cognitive treatments of strategic reasoning in games. There have been extensive formal debates about the merits of the principle of backward induction among game theorists and logicians. Experimental economists and psychologists have shown that human subjects, perhaps due to their bounded resources, do not always follow the backward induction strategy, leading to unexpected outcomes. Recently, based on an eye-tracking study, it has turned out that even human subjects (...)
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  26.  64
    Hiddleston’s Causal Modeling Semantics and the Distinction Between Forward-Tracking and Backtracking Counterfactuals.Kok Yong Lee - 2017 - Studies in Logic 10 (1):79-94.
    Some cases show that counterfactual conditionals (‘counterfactuals’ for short) are inherently ambiguous, equivocating between forward-tracking and backtracking counterfactu- als. Elsewhere, I have proposed a causal modeling semantics, which takes this phenomenon to be generated by two kinds of causal manipulations. (Lee 2015; Lee 2016) In an important paper (Hiddleston 2005), Eric Hiddleston offers a different causal modeling semantics, which he claims to be able to explain away the inherent ambiguity of counterfactuals. In this paper, I discuss these two (...)
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  27. An Intelligent Tutoring System for Learning Classical Cryptography Algorithms (CCAITS).Jihan Y. AbuEl-Reesh & Samy S. Abu-Naser - 2018 - International Journal of Academic and Applied Research (IJAAR) 2 (2):1-11.
    With the expansion of computer and information technologies, intelligent tutoring system are becoming more prominent everywhere throughout the world, it influences the scene to wind up plainly genuine that anyone could learn at anyplace in whenever. Be that as it may, without the help of intelligent tutoring system, the learning questions students’ response can't be understood in time. Thus it is important to create intelligent tutoring system (ITS) keeping in mind the end goal to give learning support service for students. (...)
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  28. Towards a Vygotskyan Cognitive Robotics: The Role of Language as a Cognitive Tool.Marco Mirolli - 2011 - New Ideas in Psychology 29:298-311.
    Cognitive Robotics can be defined as the study of cognitive phenomena by their modeling in physical artifacts such as robots. This is a very lively and fascinating field which has already given fundamental contributions to our understanding of natural cognition. Nonetheless, robotics has to date addressed mainly very basic, low­level cognitive phenomena like sensory­motor coordination, perception, and navigation, and it is not clear how the current approach might scale up to explain high­level human cognition. In this (...)
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  29. Conceptual Spaces for Cognitive Architectures: A Lingua Franca for Different Levels of Representation.Antonio Lieto, Antonio Chella & Marcello Frixione - 2017 - Biologically Inspired Cognitive Architectures 19:1-9.
    During the last decades, many cognitive architectures (CAs) have been realized adopting different assumptions about the organization and the representation of their knowledge level. Some of them (e.g. SOAR [35]) adopt a classical symbolic approach, some (e.g. LEABRA[ 48]) are based on a purely connectionist model, while others (e.g. CLARION [59]) adopt a hybrid approach combining connectionist and symbolic representational levels. Additionally, some attempts (e.g. biSOAR) trying to extend the representational capacities of CAs by integrating diagrammatical representations and reasoning (...)
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  30.  57
    On a Cognitive Model of Semiosis.Piotr Konderak - 2015 - Studies in Logic, Grammar and Rhetoric 40 (1):129-144.
    What is the class of possible semiotic systems? What kinds of systems could count as such systems? The human mind is naturally considered the prototypical semiotic system. During years of research in semiotics the class has been broadened to include i.e. living systems like animals, or even plants. It is suggested in the literature on artificial intelligence that artificial agents are typical examples of symbol-processing entities. It also seems that semiotic processes are in fact cognitive processes. In consequence, it (...)
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  31. Animats in the Modeling Ecosystem.Xabier Barandiaran & Anthony Chemero - 2009 - Adaptive Behavior 17 (4):287-292.
    There are many different kinds of model and scientists do all kind of things with them. This diversity of model type and model use is a good thing for science. Indeed, it is crucial especially for the biological and cognitive sciences, which have to solve many different problems at many different scales, ranging from the most concrete of the structural details of a DNA molecule to the most abstract and generic principles of self-organization in networks. Getting a grip (or (...)
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  32. Analogical Insight: Toward Unifying Categorization and Analogy.Eric Dietrich - 2010 - Cognitive Processing 11 (4):331-.
    The purpose of this paper is to present two kinds of analogical representational change, both occurring early in the analogy-making process, and then, using these two kinds of change, to present a model unifying one sort of analogy-making and categorization. The proposed unification rests on three key claims: (1) a certain type of rapid representational abstraction is crucial to making the relevant analogies (this is the first kind of representational change; a computer model is presented that demonstrates this kind of (...)
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  33. Mind, Cognition, Semiosis: Ways to Cognitive Semiotics.Piotr Konderak - 2018 - Lublin, Polska: Maria Curie-Sklodowska University Press.
    What is meaning-making? How do new domains of meanings emerge in the course of child’s development? What is the role of consciousness in this process? What is the difference between making sense of pointing, pantomime and language utterances? Are great apes capable of meaning-making? What about dogs? Parrots? Can we, in any way, relate their functioning and behavior to a child’s? Are artificial systems capable of meaning-making? -/- The above questions motivated the emergence of cognitive semiotics as a discipline (...)
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  34. Cognition, Algebra, and Culture in the Tongan Kinship Terminology.Giovanni Bennardo & Dwight Read - 2007 - Journal of Cognition and Culture 7 (1-2):49-88.
    We present an algebraic account of the Tongan kinship terminology (TKT) that provides an insightful journey into the fabric of Tongan culture. We begin with the ethnographic account of a social event. The account provides us with the activities of that day and the centrality of kin relations in the event, but it does not inform us of the conceptual system that the participants bring with them. Rather, it is a slice in time of an ongoing dynamic process that links (...)
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  35. Three Symbol Ungrounding Problems: Abstract Concepts and the Future of Embodied Cognition.Guy Dove - 2016 - Psychonomic Bulletin and Review 4 (23):1109-1121.
    A great deal of research has focused on the question of whether or not concepts are embodied as a rule. Supporters of embodiment have pointed to studies that implicate affective and sensorimotor systems in cognitive tasks, while critics of embodiment have offered nonembodied explanations of these results and pointed to studies that implicate amodal systems. Abstract concepts have tended to be viewed as an important test case in this polemical debate. This essay argues that we need to move beyond (...)
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  36. Towards a Consequentialist Understanding of Cognitive Penetration.Dustin Stokes - 2015 - In A. Raftopoulos & J. Zeimbekis (eds.), Cognitive Penetrability (Oxford University Press).
    Philosophers of mind and cognitive scientists have recently taken renewed interest in cognitive penetration, in particular, in the cognitive penetration of perceptual experience. The question is whether cognitive states like belief influence perceptual experience in some important way. Since the possible phenomenon is an empirical one, the strategy for analysis has, predictably, proceeded as follows: define the phenomenon and then, definition in hand, interpret various psychological data. However, different theorists offer different and apparently inconsistent definitions. And (...)
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  37. Between Language and Consciousness: Linguistic Qualia, Awareness, and Cognitive Models.Piotr Konderak - 2017 - Studies in Logic, Grammar and Rhetoric 48 (1):285-302.
    The main goal of the paper is to present a putative role of consciousness in language capacity. The paper contrasts the two approaches characteristic for cognitive semiotics and cognitive science. Language is treated as a mental phenomenon and a cognitive faculty. The analysis of language activity is based on the Chalmers’ distinction between the two forms of consciousness: phenomenal and psychological. The approach is seen as an alternative to phenomenological analyses typical for cognitive semiotics. Further, a (...)
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  38. Analogical Insight: Toward Unifying Categorization and Analogy.Eric Dietrich - 2010 - Cognitive Processing 11 (4):331-346.
    The purpose of this paper is to present two kinds of analogical representational change, both occurring early in the analogy-making process, and then, using these two kinds of change, to present a model unifying one sort of analogy-making and categorization. The proposed unification rests on three key claims: (1) a certain type of rapid representational abstraction is crucial to making the relevant analogies (this is the first kind of representational change; a computer model is presented that demonstrates this kind of (...)
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  39.  15
    On Evolution of Thinking About Semiosis: Semiotics Meets Cognitive Science.Piotr Konderak - 2017 - Avant: Trends in Interdisciplinary Studies 7 (2):82-103.
    The aim of the paper is to sketch an idea—seen from the point of view of a cognitive scientist—of cognitive semiotics as a discipline. Consequently, the article presents aspects of the relationship between the two disciplines: semiotics and cognitive science. The main assumption of the argumentation is that at least some semiotic processes are also cognitive processes. At the methodological level, this claim allows for application of cognitive models as explanations of selected semiotic processes. In (...)
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  40. Destiny or Free Will Decision? A Life Overview From the Perspective of an Informational Modeling of ConsciousnessPart II: Attitude and Decision Criteria, Free Will and Destiny.Florin Gaiseanu - 2018 - Gerontology and Geriatrics Studies 4 (1):1-7.
    As it was shown in the Part I of this work, the driving of our life is determined by series of YES/NO - type elemental decision, which is actually the information unit (Bit), so we operate actually in an informational mode. The informational analysis and modeling of consciousness reveals seven informational systems, reflected at the conscious level by the cognitive informational centers suggestively called Iknow (Ik - memory), Iwant (Iw - decision center), Iove (Il-emotions), Iam (Ia-body status), Icreate (...)
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  41. Memory and Cognition.John Sutton, Celia B. Harris & Amanda Barnier - 2010 - In Susannah Radstone & Barry Schwarz (eds.), Memory: theories, histories, debates. New York: Fordham University Press. pp. 209-226.
    In his contribution to the first issue of Memory Studies, Jeffrey Olick notes that despite “the mutual affirmations of psychologists who want more emphasis on the social and sociologists who want more emphasis on the cognitive”, in fact “actual crossdisciplinary research … has been much rarer than affirmations about its necessity and desirability” (2008: 27). The peculiar, contingent disciplinary divisions which structure our academic institutions create and enable many powerful intellectual cultures: but memory researchers are unusually aware that uneasy (...)
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  42.  73
    Information-Matter Bipolarity of the Human Organism and Its Fundamental Circuits: From Philosophy to Physics/Neurosciences-Based Modeling.Florin Gaiseanu - 2020 - Philosophy Study 10 (2):107-118.
    Starting from a philosophical perspective, which states that the living structures are actually a combination between matter and information, this article presents the results on an analysis of the bipolar information-matter structure of the human organism, distinguishing three fundamental circuits for its survival, which demonstrates and supports this statement, as a base for further development of the informational model of consciousness to a general informational model of the human organism. For this, it was examined the Informational System of the Human (...)
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  43.  18
    Modeling De Se Belief.Bernard Molyneux & Paul Teller - manuscript
    We develop an approach to the problem of de se belief usually expressed with the question, what does the shopper with the leaky sugar bag have to learn to know that s/he is the one making the mess. Where one might have thought that some special kind of “de se” belief explains the triggering of action, we maintain that this gets the order of explanation wrong. We sketch a very simple cognitive architecture that yields de se-like behavior on which (...)
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  44. Modeling and Inferring in Science.Emiliano Ippoliti, Thomas Nickles & Fabio Sterpetti - 2016 - In Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.), Models and Inferences in Science. Springer. pp. 1-9.
    Science continually contributes new models and rethinks old ones. The way inferences are made is constantly being re-evaluated. The practice and achievements of science are both shaped by this process, so it is important to understand how models and inferences are made. But, despite the relevance of models and inference in scientific practice, these concepts still remain contro-versial in many respects. The attempt to understand the ways models and infer-ences are made basically opens two roads. The first one is to (...)
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  45.  71
    Modeling Long-Term Intentions and Narratives in Autonomous Agents.Christian Kronsted & Zachariah A. Neemeh - forthcoming - Journal of Artificial Intelligence and Consciousness.
    Across various fields it is argued that the self in part consists of an autobiographical self-narrative and that the self-narrative has an impact on agential behavior. Similarly, within action theory, it is claimed that the intentional structure of coherent long-term action is divided into a hierarchy of distal, proximal, and motor intentions. However, the concrete mechanisms for how narratives and distal intentions are generated and impact action is rarely fleshed out concretely. We here demonstrate how narratives and distal intentions can (...)
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  46. Reverse-Engineering in Cognitive-Science.Marcin Miłkowski - 2013 - In Marcin Miłkowski & Konrad Talmont-Kaminski (eds.), Regarding Mind, Naturally. Cambridge Scholars Press. pp. 12-29.
    I discuss whether there are some lessons for philosophical inquiry over the nature of simulation to be learnt from the practical methodology of reengineering. I will argue that reengineering serves a similar purpose as simulations in theoretical science such as computational neuroscience or neurorobotics, and that the procedures and heuristics of reengineering help to develop solutions to outstanding problems of simulation.
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  47. Habit in Semiosis: Two Different Perspectives Based on Hierarchical Multi-Level System Modeling and Niche Construction Theory.Pedro Ata & Joao Queiroz - 2016 - In Anderson M. West D. & Donna West (eds.), Consensus on Peirce’s Concept of Habit. Berlin: Springer. pp. 109-119.
    Habit in semiosis can be modeled both as a macro-level in a hierarchical multi-level system where it functions as boundary conditions for emergence of semiosis, and as a cognitive niche produced by an ecologically-inherited environment of cognitive artifacts. According to the first perspective, semiosis is modeled in terms of a multilayered system, with micro functional entities at the lower-level and with higher-level processes being mereologically composed of these lower-level entities. According to the second perspective, habits are embedded in (...)
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  48. Philosophy of Modeling: Neglected Pages of History.Karlis Podnieks - 2018 - Baltic Journal of Modern Computing 6 (3):279–303.
    The work done in the philosophy of modeling by Vaihinger (1876), Craik (1943), Rosenblueth and Wiener (1945), Apostel (1960), Minsky (1965), Klaus (1966) and Stachowiak (1973) is still almost completely neglected in the mainstream literature. However, this work seems to contain original ideas worth to be discussed. For example, the idea that diverse functions of models can be better structured as follows: in fact, models perform only a single function – they are replacing their target systems, but for different (...)
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  49.  38
    Philosophy of Modeling in the 1870s: A Tribute to Hans Vaihinger.Karlis Podnieks - 2021 - Baltic Journal of Modern Computing 9 (1):67-110.
    This paper contains a detailed exposition and analysis of The Philosophy of “As If“ proposed by Hans Vaihinger in his book published in 1911. However, the principal chapters of the book (Part I) reproduce Vaihinger’s Habilitationsschrift, which was written during the autumn and winter of 1876. Part I is extended by Part II based on texts written during 1877–1878, when Vaihinger began preparing the book. The project was interrupted, resuming only in the 1900s. My conclusion is based exclusively on the (...)
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    Info-Relational Cognitive Operability of the Posterior Cingulate Cortex According to the Informational Model of Consciousness.Florin Gaiseanu - 2020 - International Journal of Psychological and Brain Sciences 5 (4):61-68.
    Based on the analysis of the accumulated experimental data and on the informational concepts of the Informational Model of Consciousness (IMC), in this article is presented an informational modeling of the operability of the posterior cingulate cortex (PCC). Examination of the experimental results obtained with the modern non-destructive, high spatial resolution investigation tools to study the functional characteristics of the PCC and associate metabolic processes, shows mainly that this is involved in the large scale default mode network (DMN), composed (...)
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