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Littérature scientifique sur le sujet « Cognition »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 9 juin 2025

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Articles de revues sur le sujet "Cognition"

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Thoyib, Ellys, and R. Y. Effendi. "ANALISIS KOGNITIF PESERTA PELATIHAN VOKASIONAL RENCANA USAHA DAN MANAJEMEN KEUANGAN KELOMPOK SWADAYA MASYARAKAT (KSM) BINAAN BDC SRIWIJAYA PALEMBANG." Jemasi: Jurnal Ekonomi Manajemen dan Akuntansi 15, no. 1 (July 3, 2019): 1–13. http://dx.doi.org/10.35449/jemasi.v15i1.38.

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The purpose of the analysis is to find out the cognitions that appear in the cognitive system of vocational training participants in business plans and financial management of self-help groups (KSM) assisted by BDC Sriwijaya Palembang through the pre-test and post-test answers.There are 3 groups of knowledge behavior modes in participants' memories, namely positive mode 73%, negative 17% and doubtful 10%.Through the statement "I believe being able to understand the material of business plans and financial management" 83% positive and 17% negative cognitions are generated in the cognitive structure.These cognitions integrate with cognitive functions namely new cognitive notions, emotions, attitudes and motivations.New cognitive understanding results from integration with emotions, namely positive cognition 74% and negative 26%, a change in 9% positive cognition switches to negative.Integration of cognition with attitudes produces positive cognition 44%, negative 7% and neutral 49%, here there is a transition between positive and negative cognition to neutral cognition or no opinion at all. Integration with motivation by asking KSM motives / hopes, generated business capital assistance motives positive cognition 89% negative 11%, marketing assistance motives, 70% positive cognition 30%, and guiding motives to developing KSM efforts, positive cognition 92% negative 8%.Conclusion Changing habits that have been practiced for years will take time, energy and great breakthroughs about training methods that they are easy to understand.

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Бондаренко, Т. А., and В. С. Власова. "OGNITIVE INSTALLATIONS AS A METHODOLOGICAL FRAMEWORK OF SCIENTIFIC KNOWLEDGE." Вестник ГГНТУ. Гуманитарные и социально-экономические науки, no. 4(26) (December 28, 2021): 29–36. http://dx.doi.org/10.34708/gstou.2021.57.65.005.

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Рассматриваются когнитивные установки, являющиеся основой методологических знаний в научном познании. Предметом исследования выступают принцип доверия субъекту познания, конвенции, символы и метафоры. Ставится задача реконструировать интенциональную функцию когнитивных установок и показать эвристическую ценность когниций в познании. Cognitive attitudes that are the basis of methodological knowledge in scientific cognition are considered. The subject of the study is the principle of trust in the subject of cognition, conventions, symbols and metaphors. The task is to reconstruct the intentional function of cognitive attitudes and to show the heuristic value of cognitions in cognition.

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Chen, Zhe, Apurbo Sarkar, Ahmed Khairul Hasan, Xiaojing Li, and Xianli Xia. "Evaluation of Farmers’ Ecological Cognition in Responses to Specialty Orchard Fruit Planting Behavior: Evidence in Shaanxi and Ningxia, China." Agriculture 11, no. 11 (October 28, 2021): 1056. http://dx.doi.org/10.3390/agriculture11111056.

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Developing specialties in orchard fruits productions with ecological and economic benefits is a practical and effective way to guarantee eco-friendliness and increase farmers’ income in the Loess Plateau area. Therefore, to understand these factors, the study constructs an agriculture ecological cognition index from three dimensions of eco-agriculture cognitions (increase income cognition, water conservation cognition and eco-product price cognition). Our analysis was based on micro survey data from 416 farmers in Shaanxi and Ningxia, China. The study used two main econometric models, double-hurdle and Interpretative Structural Modeling (ISM), to examine the relationship and influence pathways between cognition of ecological agriculture and farmers’ specialty orchard fruit planting behavior. The results show that: (i) the cognition of eco-agriculture affects whether farmers plant specialty fruits (participation decision). The cognition of eco-agriculture increases income and the cognition of eco-product price significantly affect the scale of specialty orchard fruits planting (quantity decision). (ii) Household resource endowments influence specialty orchard fruit planting responses through ecological farming cognitions. (iii) The factors influencing the participation and quantity decisions of orchard fruit planting are significantly different. Therefore, when the government actively encourages farmers to participate in specialty orchard planting, it should fully consider the cognitive factors of ecological agriculture of the growers and develop targeted training strategies.

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Furs, L. A. "COGNITION AND COGNITIVE DYNAMICS." Voprosy Kognitivnoy Lingvistiki, no. 3 (2021): 52–58. http://dx.doi.org/10.20916/1812-3228-2021-3-52-58.

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The article considers the principle of cognitive dynamics in the knowledge construction. This principle underlies various modification processes during the processing of knowledge by human consciousness and emphasizes the processuality of his mental activity. The procedural nature of cognitive dynamics is provided by a person’s ability to process knowledge on the basis of associative links and patterns of cause-and-effect relationships. This principle is associated with the procedural function of metamemory and is activated when there is a complication of the structures of static declarative knowledge. The procedural function is represented by the metonymic, metaphorical and metaphtonymic construction of knowledge. In turn, the metaphtonymic model is characterized by metonymic or metaphorical expansion. The operation of the principle of cognitive dynamics is illustrated by examples when a lexeme implements a secondary function in a context, when a linguistic unit is used as a part of a phraseological unit, as well as in the processes of modifying the categorial meaning of a verb and in the course of constructing evaluative knowledge represented by a syntactic construction. It also takes place in the construction of a polymodal text. The processes of cognitive dynamism reflect the features of a person’s cognitive operations to process knowledge transmitted in communication. They reveal the connection of language with perception, memory, thinking, human experience, which, in turn, allows to show the specificity of human cognitive activity, which is not accessible to direct observation. In general, the configuration of knowledge as a result of cognitive dynamism is a complex process regulated by both cognitive and metacognitive parameters.

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Henderson, V. W. "Cognition and cognitive aging." Climacteric 10, sup2 (January 2007): 88–91. http://dx.doi.org/10.1080/13697130701537363.

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Mey, Jacob L. "Cognitive Technology ? Technological cognition." AI & Society 10, no. 3-4 (September 1996): 226–32. http://dx.doi.org/10.1007/bf01174600.

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Garzón-Rodríguez, Carlos, and Douglas Niño. "Towards a Conception of the Continuous Structure of Cognition. A Peircist Approach." Transactions of the Charles S. Peirce Society: A Quarterly Journal in American Philosophy 59, no. 1 (January 2023): 61–85. http://dx.doi.org/10.2979/csp.2023.a900117.

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Abstract: This paper presents a model of the continuous structure of Cognition based on several theses proposed by Charles S. Peirce in his youth and in his mature period. In this model, cognitions are discontinuous parts on a continuum and a cognitive process becomes “individually-synthetic,” as a hypostatic abstraction from discontinuous transformations of informational fluxes in the continuous course of experience. That is, they are salient regions or neighborhoods on a continuum rather than points, and the relations of succession and precession among them are inferential, fluid, time sensitive, and goal-directed. First, this paper will outline the theses found in the young Peirce’s work, which inspire a conception of continuous Cognition. Two questions will be raised regarding such a conception: (1) at what point does a particular act of cognition conclude? and (2) how should we characterize individual cognitions? To address these questions, the paper will later introduce the concept of continuity that Peirce developed in his mature years. The synthetic character of the continuum leads to the formulation of the concepts of neighborhood and synthetic individuality . These notions support the conception of a continuous model of Cognition in which the relations of succession and precession between individual finite cognitions are explained. The paper ends with a brief reflection regarding the possibility of developing this model of continuous Cognition as a theory of extended cognition.

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Robinson, Susan, and Max Birchwood. "The Relationship Between Catastrophic Cognitions and the Components of Panic Disorder." Journal of Cognitive Psychotherapy 5, no. 3 (January 1991): 175–86. http://dx.doi.org/10.1891/0889-8391.5.3.175.

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Cognitive models of panic postulate that panic attacks arise from the catastrophic misinterpretation of somatic symptoms. Hitherto, research has concentrated on the link between cognitions and the somatic sensations experienced during panic attacks; little attention has been directed towards the relationship between cognitions and other critical components of Panic Disorder (e.g., avoidance behavior). Fifty-eight patients presenting with Panic Disorder with Agoraphobia (DSM-III-R) rated their degree of belief in nine “core” catastrophic cognitions and completed self-report measures of the critical symptoms of Panic Disorder. Results demonstrated a link between cognitions of physical catastrophe and somatic symptoms. Additionally, strong links were detected between the cognitions of losing control and “experiential” symptoms, between the cognition of insanity and depressive symptoms, and between the cognition of social embarrassment and avoidance behavior. Implications for the cognitive model and treatment of Panic Disorder are discussed.

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Tudela, Pío. "¿Neurociencia Cognitiva o Cognición Incorporada? Cognitive Neuroscience or Embodied Cognition?" Cognitiva 16, no. 2 (September 1, 2004): 243–49. http://dx.doi.org/10.1174/0214355042248857.

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Chia, Kok Hwee, and Meng Lek Ng. "Cognition, cognitive abilities & cognitive training program." Unlimited Human! 2021, Summer (April 16, 2025): 4–6. https://doi.org/10.5281/zenodo.15227209.

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Cognition encompasses many aspects of cognitive functions as well as processes that include attention and concentration, the concept formation of knowledge, memory, rational thinking (i.e., judgment and evaluation), reasoning and logic, computation, problem solving and choice/decision making, receptive and expressive language processing that includes different levels of comprehension as well as composition of ideas and thoughts. Cognitive processes use existing knowledge and generate new knowledge. In this paper, the two authors differentiated between abilities and skills, examined the hierarchy of abilities and skills, and the Cattell-Horn-Carroll theory of broad and narrow cognitive abilities. More importantly, the authors argue the need for cognitive training programs to help boost cognitive capacity of school-age children as well as provide treatment for those with neurological conditions.

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Thèses sur le sujet "Cognition"

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Hogervorst, Eva. "Age-related cognitive decline and cognition enhancers." Maastricht : Maastricht : Neuropsych Publishers ; University Library, Maastricht University [Host], 1998. http://arno.unimaas.nl/show.cgi?fid=6058.

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Cattinelli, I. "INVESTIGATIONS ON COGNITIVE COMPUTATION AND COMPUTATIONAL COGNITION." Doctoral thesis, Università degli Studi di Milano, 2011. http://hdl.handle.net/2434/155482.

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This Thesis describes our work at the boundary between Computer Science and Cognitive (Neuro)Science. In particular, (1) we have worked on methodological improvements to clustering-based meta-analysis of neuroimaging data, which is a technique that allows to collectively assess, in a quantitative way, activation peaks from several functional imaging studies, in order to extract the most robust results in the cognitive domain of interest. Hierarchical clustering is often used in this context, yet it is prone to the problem of non-uniqueness of the solution: a different permutation of the same input data might result in a different clustering result. In this Thesis, we propose a new version of hierarchical clustering that solves this problem. We also show the results of a meta-analysis, carried out using this algorithm, aimed at identifying specific cerebral circuits involved in single word reading. Moreover, (2) we describe preliminary work on a new connectionist model of single word reading, named the two-component model because it postulates a cascaded information flow from a more cognitive component that computes a distributed internal representation for the input word, to an articulatory component that translates this code into the corresponding sequence of phonemes. Output production is started when the internal code, which evolves in time, reaches a sufficient degree of clarity; this mechanism has been advanced as a possible explanation for behavioral effects consistently reported in the literature on reading, with a specific focus on the so called serial effects. This model is here discussed in its strength and weaknesses. Finally, (3) we have turned to consider how features that are typical of human cognition can inform the design of improved artificial agents; here, we have focused on modelling concepts inspired by emotion theory. A model of emotional interaction between artificial agents, based on probabilistic finite state automata, is presented: in this model, agents have personalities and attitudes that can change through the course of interaction (e.g. by reinforcement learning) to achieve autonomous adaptation to the interaction partner. Markov chain properties are then applied to derive reliable predictions of the outcome of an interaction. Taken together, these works show how the interplay between Cognitive Science and Computer Science can be fruitful, both for advancing our knowledge of the human brain and for designing more and more intelligent artificial systems.

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Fox, Nathan Josephe. "Cognitive architecture and the function of human cognition." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/25027.

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A number of models of cognitive architecture have been advanced with the intention of providing some sense of the psychological processes that subserve a range of behaviours. For instance, Sober & Wilson (1998), C. Daniel Batson (1988) and Robert Frank (1988 and 1990) attempt to account for contrasting (if not contradictory) behaviours respectively, hedonistic and altruistic behaviour, self-oriented behaviour and other-oriented behaviour marked by empathetic reactions, and behaviour that reflects rational self-interest in material incentives and behaviour that tends to produce long-term benefits in social interactions. However, the approaches that I have examined encounter difficulties. One difficulty in basing psychological models on empirical data is that the mental states that precede and accompany motivations may be ambiguous or obscure. Those states may be composite states consisting of components that are inextricably linked. For instance, it is not clear whether an altruistic act has some desire for pleasure lurking in the shadows. In Sober & Wilsons approach, cognitive structure is predicted largely on the basis of general factors in the natural selection of cognitive devices, e.g., their availability for selection, energetic efficiency, and reliability. However, the particular factors that play a role in the aetiology of traits depend upon the function that those traits evolved to perform. For instance, while the reliability of a physical system component may certainly be an important general factor in natural selection, it may be a detriment for a device that has as a particular biological function the production of phenotypic flexibility. To avoid the problems that I identified in these approaches, I derived a model of cognitive architecture that is intended to predict motivations and actions that are consistent with aspects of evolutionary theory about the function of cognition. The theory upon which I depended is advanced in Peter Godfrey-Smiths book Complexity and the Function of Mind if Nature. He proposes that there is a single overarching adaptive function for the mind: to subserve adaptive plasticity. Accordingly, my model suggests a general pattern in the sequencing of human mental states that would tend to maximize behavioural flexibility as a means of maximizing inclusive fitness.<br>Graduate

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Greenlee, Christopher Alan. "Situated Cognition, Dynamicism, and Explanation in Cognitive Science." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/46501.

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The majority of cognitive scientists today view the mind as a computer, instantiating some function mapping the inputs it gets from the environment to the gross behaviors of the organism. As a result, the emphasis in most ongoing research programmes is on finding that function, or some part of that function. Moreover, the types of functions considered are limited somewhat by the preconception that the mind must be instantiating a function that can be expressed as a computer program. I argue that research done in the last two decades suggests that we should approach cognition with as much consideration to the environment as to the inner workings of the mind. Our cognition is often shaped by the constraints the environment places on us, not just by the "inputs" we receive from it. I argue also that there is a new approach to cognitive science, viewing the mind not as a computer but as a dynamical system, which captures the shift in perspective while eliminating the requirement that cognitive functions be expressable as computer programs. Unfortunately, some advocates of this dynamical perspective have argued that we should replace all of traditional psychology and neuroscience with their new approach. In response to these advocates, I argue that we cannot develop an adequate dynamical picture of the mind without engaging in precisely those sorts of research and hypothesizing that traditional neuroscience and psychology engage in. In short, I argue that we require certain types of explanations in order to get our dynamical (or computational) theories off the ground, and we cannot get those from other dynamical (or computational) theories.<br>Master of Arts

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Holder, Barbara E. "Cognition in flight : understanding cockpits as cognitive systems /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1999. http://wwwlib.umi.com/cr/ucsd/fullcit?p9945784.

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Schultheis, Holger. "Computational cognitive modeling of control in spatial cognition." Lengerich Berlin Bremen Miami, Fla. Riga Viernheim Wien Zagreb Pabst Science Publ, 2009. http://d-nb.info/998029661/04.

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Pinkston, Sophie Wardle. "Insomnia and Cognitive Performance: A Systematic Review and Meta-Analysis." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1505168/.

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Daytime cognitive performance and sleep/wake cycles are strongly interrelated, and cognitive dysfunction has been extensively investigated in relation to insomnia. However, methods and outcomes vary widely by study, making comparison difficult without more systematic evaluation. Review of the literature reveals discrepant findings for the relationship between both subjective and objective measures of cognitive performance and insomnia. The current meta-analysis included 42 studies investigating the relationship between insomnia and cognitive performance. Results confirmed the discrepant nature of previous findings and suggest that type of cognitive performance (e.g., simple attention, procedural memory, verbal functions) is important to consider when discussing the impact of insomnia. Mixed-effect meta-analysis of aggregate effect sizes suggest impairments in working memory, complex attention, and episodic memory are significantly associated with insomnia. Analysis of the grouped subjective cognitive performance effect size revealed no significant impact of insomnia. Average age and gender makeup of the sample, study quality, and type of insomnia measure (i.e., clinical or diagnostic criteria, validated scale, or single unvalidated item) did not consistently moderate findings. These results confirm the equivocal nature of the relationship between insomnia and cognitive performance. Overall, about 44% of the studies included in the analysis failed to use DSM or ICSD criteria when categorizing insomnia. Additionally, the cognitive measures used varied widely and certain measures may not be sensitive enough to detect the degree of cognitive deficit that may be present for individuals with insomnia. This indicates a need for the standardization of methods used when assessing both insomnia and cognitive performance to elucidate these relationships.

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Marcellin, Catherine. "Un système cognitif polymorphe enculturé. Langues, langages et cognition." Thesis, La Réunion, 2012. http://www.theses.fr/2012LARE0033/document.

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Cette recherche porte sur l’étude des spécificités liées à l’apprentissage, dans un contexte interculturel. Elle se situe à l’intersection des réflexions menées sur les champs conceptuels traitant du lexique mental de l’adolescent et de l’existence de deux grandes orientations cognitives, en liaison avec la culture locale et la culture scolaire en lycée professionnel à La Réunion. Le contexte de cette étude réside dans le constat que les apprenants activeraient préférentiellement un certain type de logique selon les contextes d’enculturation. Il existe deux systèmes de développement parallèles. L’un conditionne l’autre en fonction de sa localisation. Ainsi, il y aurait une relation entre les codes linguistiques utilisés et les performances scolaires. Deux groupes d’adolescents, scolarisés dans un lycée professionnel au Nord de l’île acceptent de se soumettre aux tests. Ce panel de données est en nombre suffisant pour décrire et observer le comportement et les relations existantes au sein de notre population. Un certain nombre d’épreuves proviennent des évaluations de l’Éducation Nationale (ce2) et (6e). Pour compléter notre étude, nous comparons celles-ci avec les épreuves de Jean Piaget et des épreuves du Binet-Simon. Les résultats montrent des différences interculturelles. Ils suggèrent une perte des performances d’environ 40 % entre le niveau ce2 et l’entrée en 6e. Moins de 1 élève sur 2 réussit les épreuves de fin de primaire. Les épreuves tirées des différentes théories (Jean Piaget et Binet-Simon) sont significatives et indiquent un âge cognitif de 9-10 ans concernant la population étudiée<br>This research work is about the specific characteristics linked to learning in a multicultural context. It takes place at the crossroads between reflections on the conceptual fields dealing with the teenagers’ mental lexis and the two great existing cognitive orientations, in relation with local culture in vocational schools in Reunion Island. The context of this study lies in observing that learners might preferentially activate a certain kind of logic: whether it be an abstract logic or a natural logic depending on the contexts of integration. There exist two systems of development, which are parallel. One conditions the other according to its localization. Thus, there might be a relation between the linguistic codes used on the island and the learners’ performances at school. Two groups of teenagers attending the same vocational school in the island agreed to submit themselves to a battery of tests. This sample of data stands as numerically sufficient to describe and observe behavior and existing relations inside our population. Concerning of tests, were taken in the assessment-diagnosis implemented by the French Ministry of Education – their levels are: entering the consolidation of knowledge and the end of them. Then some Piaget’s evaluations as well as evaluations Binet-Simon were used. They suggest a loss in performance of around 40% between the level of the second year of primary school and the level at entering the first of secondary school. Less than one pupil out of two succeeds at the evaluations. The Piaget’s evaluations and the evaluation on verbal thinking linked with cognitive age would be that of a 9 year old

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Goodhew, Geoffrey. "Cognition and management: Managerial cognition and organisational performance." Thesis, University of Canterbury. Business Administration, 1998. http://hdl.handle.net/10092/4363.

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This thesis is about management. A review of the management literature revealed two under-researched areas of management - thinking and performance. Additionally, cognition has received increasing attention in management and other social sciences. This thesis addresses these issues by asking,

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Christou, Antonis. "CROWD COGNITION." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/theses/169.

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Study of Crowd dynamics had had significant overlaps with models of biological swarms. Understanding and directing human crowds have also been of interest. However, to be able to build crowd models, we have to understand how and why people form crowds. In this thesis, we describe a few basic cognitive processes that account for life cycle of typical human crowds. Individual stage to Crowd stage and back to Individual stage is been considered. This stride lays the groundwork for further modeling of crowds.

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Livres sur le sujet "Cognition"

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Benjafield, John G. Cognition. Englewood Cliffs, NJ: Prentice-Hall, 1992.

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Benjafield, John G. Cognition. Englewood Cliffs, N.J: Prentice Hall, 1992.

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Jacques, Mehler, and Franck Susana, eds. Cognition on cognition. Cambridge, Mass: MIT Press, 1995.

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1947-, Allwood Jens S., and Gärdenfors Peter, eds. Cognitive semantics: Meaning and cognition. Amsterdam: J. Benjamins Pub., 1999.

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Mallick, Pradeep Kumar, Prasant Kumar Pattnaik, Amiya Ranjan Panda, and Valentina Emilia Balas, eds. Cognitive Computing in Human Cognition. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48118-6.

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Jens, Allwood, and Gärdenfors Peter, eds. Cognitive semantics: Meaning and cognition. Amsterdam: John Benjamins, 1998.

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A, Boy Guy, ed. Ingénierie cognitive: IHM et cognition. Paris: Lavoisier, 2003.

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Newell, Allen. Unified theories of cognition. Cambridge, Mass: Harvard University Press, 1990.

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Matlin, Margaret W. Cognition. 3rd ed. Fort Worth: Harcourt Brace Publishers, 1994.

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Ashcraft, Mark H. Cognition. 4th ed. Upper Saddle River, N.J: Pearson Prentice Hall, 2006.

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Chapitres de livres sur le sujet "Cognition"

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Dror, Itiel E., and Stevan Harnad. "Offloading cognition onto cognitive technology." In Cognition Distributed, 1–23. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.02dro.

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Mey, Jacob L. "Cognitive Technology - Technological Cognition." In Cognition, Communication and Interaction, 31–37. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84628-927-9_2.

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Schlinger, Henry D., and Alan Poling. "Cognition." In Introduction to Scientific Psychology, 209–35. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4899-1893-2_9.

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Hoyer, Daniel, Eric P. Zorrilla, Pietro Cottone, Sarah Parylak, Micaela Morelli, Nicola Simola, Nicola Simola, et al. "Cognition." In Encyclopedia of Psychopharmacology, 313. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_984.

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Moreno, Alvaro, and Matteo Mossio. "Cognition." In History, Philosophy and Theory of the Life Sciences, 167–93. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9837-2_7.

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Marshall, John C. "Cognition." In States of Brain and Mind, 23–24. Boston, MA: Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4899-6771-8_9.

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Marshall, John C. "Cognition." In Speech and Language, 59–60. Boston, MA: Birkhäuser Boston, 1989. http://dx.doi.org/10.1007/978-1-4899-6774-9_25.

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Marshall, John C. "Cognition." In Learning and Memory, 73–74. Boston, MA: Birkhäuser Boston, 1989. http://dx.doi.org/10.1007/978-1-4899-6778-7_27.

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Karch, Susanne, and Christoph Mulert. "Cognition." In EEG - fMRI, 419–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-87919-0_21.

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Irwin, Ronald R. "Cognition." In The Plenum Series in Adult Development and Aging, 65–78. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0657-7_5.

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Actes de conférences sur le sujet "Cognition"

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Ciftcioglu, Ozer, and Michael S. Bittermann. "Generic cognitive computing for cognition." In 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2015. http://dx.doi.org/10.1109/cec.2015.7256942.

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Huang, Chu-Ren. "Conventionalized cognition conventionalizes cognition." In 2009 8th IEEE International Conference on Cognitive Informatics (ICCI). IEEE, 2009. http://dx.doi.org/10.1109/coginf.2009.5250718.

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Dias, Yves Henrique Faria, Leonardo Moreira Dutra, Mariana Vanon Moreira, Bárbara Gomes Muffato, Ana Luíza Badini Tubenchlak, Maria Clara Lopes Rezende, Milla Giancristofaro Dutra, Bernardo Valle Zanetti, and Leandro Véspoli Campos. "Influence of insomnia on cognition." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.018.

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Background: Insomnia is a disorder characterized by difficulty in initiating and maintaining sleep, affecting about 20% of the world population. As a consequence, this disorder brings a significant loss of quality of life for the affected individuals, triggering the questioning about its influence on cognitive performance. Objectives: To investigate the interference of insomnia on cognition. Methods: During April of 2021, a literature review was carried out in the PubMed database, using the descriptors “Insomnia” and “Cognition”, in addition to their respective variations in MeSH. We selected studies carried out in humans and published in the last five years. Results: A total of 317 articles were found, of which four were selected to produce this abstract. The studies showed a significant relationship between sleep restriction caused by insomnia and worsening cognitive activity. In this sense, the fragmentation of rest and the difficulty of reaching deeper stages of sleep altered the cognitive efficiency of the affected patients, causing impaired performance in aspects such as attention, memory, learning capacity, perception and ability to solve problems. Performance was assessed through subjective and objective tests - composed of patient reports and practical tests, respectively. Despite the negative relationship established, one of the studies reports that certain domains of cognition were preserved, such as psychomotor and verbal functions. Conclusions: Insomnia adversely affects individuals’ cognitive performance, resulting in losses in the patient’s life.

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Gu, Hengnian, Guoqian Luo, Xiaoxiao Dong, Shulin Li, and Dongdai Zhou. "Revisiting Cognition in Neural Cognitive Diagnosis." In KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 402–12. New York, NY, USA: ACM, 2025. https://doi.org/10.1145/3690624.3709319.

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Sciutti, Alessandra, Katrin S. Lohan, and Yukie Nagai. "Cognition." In HRI '15: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2701973.2714399.

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Jiang, Yanan, Yahui Liu, Jinsong Bao, Jie Li, Jie Zhang, and Yunhao Fang. "Human-in-Cognition Manufacturing-Loop (HCML): Framework and Technologies." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8399.

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Abstract The wave of intelligent manufacturing has swept the world, and intelligent manufacturing has realized the interconnection of the physical world and the information world. With the deep integration of intelligent manufacturing, cognitive computing and cognitive science, the manufacturing industry presents a new manufacturing model, which is called cognitive manufacturing. Cognitive manufacturing, as the evolution stage of intelligent manufacturing, endows industrial manufacturing system with perception and judgment ability. In addition, it enables the machine to realize self-adaptation, self-organization and self-decision-making based on cognition, thus completing accurate execution. But the manufacturing system cannot be entirely controlled by machines without the involvement of human. Based on the new generation of intelligent manufacturing for human-information-physical system and human-computer synthetic-intelligent system. This paper compares and extends the relevant technical models of intelligent manufacturing and cognitive manufacturing. Furthermore, it presents a framework that integrates the cognitive ability of human and machine, putting forward a cognitive manufacturing system architecture of human-machine collaborative cognition, called Human-in-Cognition Manufacturing-Loop (HCML). Additionally, the connotation, key implementation technology and future development trend of the system are discussed in details, and the role of artificial intelligence in the system are introduced.

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Hallihan, Gregory M., Hyunmin Cheong, and L. H. Shu. "Confirmation and Cognitive Bias in Design Cognition." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71258.

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The desire to better understand design cognition has led to the application of literature from psychology to design research, e.g., in learning, analogical reasoning, and problem solving. Psychological research on cognitive heuristics and biases offers another relevant body of knowledge for application. Cognitive biases are inherent biases in human information processing, which can lead to suboptimal reasoning. Cognitive heuristics are unconscious rules utilized to enhance the efficiency of information processing and are possible antecedents of cognitive biases. This paper presents two studies that examined the role of confirmation bias, which is a tendency to seek and interpret evidence in order to confirm existing beliefs. The results of the first study, a protocol analysis involving novice designers engaged in a biomimetic design task, indicate that confirmation bias is present during concept generation and offer additional insights into the influence of confirmation bias in design. The results of the second study, a controlled experiment requiring participants to complete a concept evaluation task, suggest that decision matrices are effective tools to reduce confirmation bias during concept evaluation.

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Crowder, James. "The Rasmussen Cognition Model for Cognitive Radar." In 2022 IEEE 22nd Annual Wireless and Microwave Technology Conference (WAMICON). IEEE, 2022. http://dx.doi.org/10.1109/wamicon53991.2022.9786206.

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Wiel, Wilfred G. van der. "Materializing Cognition: Information Processing in Cognitive Matter." In 2023 International Conference on Solid State Devices and Materials. The Japan Society of Applied Physics, 2023. http://dx.doi.org/10.7567/ssdm.2023.k-5-01.

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Van Der Wiel, Wilfred G. "Materializing Cognition : Information processing in cognitive matter." In 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC). IEEE, 2023. http://dx.doi.org/10.1109/nmdc57951.2023.10343936.

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Rapports d'organisations sur le sujet "Cognition"

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Pasupuleti, Murali Krishna. Quantum Cognition: Modeling Decision-Making with Quantum Theory. National Education Services, March 2025. https://doi.org/10.62311/nesx/rrvi225.

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Abstract Quantum cognition applies quantum probability theory and mathematical principles from quantum mechanics to model human decision-making, reasoning, and cognitive processes beyond the constraints of classical probability models. Traditional decision theories, such as expected utility theory and Bayesian inference, struggle to explain context-dependent reasoning, preference reversals, order effects, and cognitive biases observed in human behavior. By incorporating superposition, interference, and entanglement, quantum cognitive models offer a probabilistic framework that better accounts for uncertainty, ambiguity, and adaptive decision-making in complex environments. This research explores the foundations of quantum cognition, its empirical validation in behavioral experiments and neuroscience, and its applications in artificial intelligence (AI), behavioral economics, and decision sciences. Additionally, it examines how quantum-inspired AI models enhance predictive analytics, machine learning algorithms, and human-computer interaction. The study also addresses challenges related to mathematical complexity, cognitive interpretation, and the potential link between quantum mechanics and brain function, providing a comprehensive framework for the integration of quantum cognition into decision science and AI-driven cognitive computing. Keywords Quantum cognition, quantum probability, decision-making models, cognitive science, superposition in cognition, interference effects, entanglement in decision-making, probabilistic reasoning, preference reversals, cognitive biases, order effects, quantum-inspired AI, behavioral economics, neural quantum theory, artificial intelligence, cognitive neuroscience, human-computer interaction, quantum probability in psychology, quantum decision theory, uncertainty modeling, predictive analytics, quantum computing in cognition.

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Liu, Mingyan. Cognitive Tactical Radios: Cognition Through Learning and Strategy (CLearStrategy). Fort Belvoir, VA: Defense Technical Information Center, December 2012. http://dx.doi.org/10.21236/ada586790.

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Kampman, Christina M., Charles A. Mangio, and Melinda Marsh. Advanced Analysis Cognition: Improving the Cognition of Intelligence Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada595401.

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Warren, Rik. Culture & Cognition Laboratory. Fort Belvoir, VA: Defense Technical Information Center, May 2011. http://dx.doi.org/10.21236/ada543651.

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Stein, Lynn A. Imagination and Situated Cognition. Fort Belvoir, VA: Defense Technical Information Center, February 1991. http://dx.doi.org/10.21236/ada234420.

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Kaufman, Lloyd, and Samuel J. Williamson. Cognition and the Brain. Fort Belvoir, VA: Defense Technical Information Center, May 1991. http://dx.doi.org/10.21236/ada237846.

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Newell, Allen, Paul S. Rosenbloom, and John E. Laird. Symbolic Architectures for Cognition. Fort Belvoir, VA: Defense Technical Information Center, January 1989. http://dx.doi.org/10.21236/ada222909.

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Bingham, Richard, and Wilhelm E. Kineses. Augmented Cognition - Phase 4 Cognitive Assessment and Task Management (CAT-M). Fort Belvoir, VA: Defense Technical Information Center, December 2008. http://dx.doi.org/10.21236/ada491443.

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Marsh, Melinda. Advanced Analytic Cognition: Thinking Dispositions. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada606062.

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Marsh, Melinda. Advanced Analytic Cognition: Critical Thinking. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada606648.

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