949 resultados para 380300 Cognitive Science


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This paper presents an analysis of dysfluencies in two oral tellings of a familiar children's story by a young boy with autism. Thurber & Tager-Flusberg (1993) postulate a lower degree of cognitive and communicative investment to explain a lower frequency of non-grammatical pauses observed in elicited narratives of children with autism in comparison to typically developing and intellectually disabled controls. we also found a very low frequency of non-grammatical pauses in our data, but indications of high engagement and cognitive and communicative investment. We point to a wider range of disfluencies as indicators of cognitive load, and show that the kind and location of dysfluencies produced may reveal which aspects of the narrative task are creating the greatest cognitive demand: here, mental state ascription, perspectivization, and adherence to story schema. This paper thus generates analytical options and hypotheses that can be explored further in a larger population of children with autism and typically developing controls.

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The investigation of perceptual and cognitive functions with non-invasive brain imaging methods critically depends on the careful selection of stimuli for use in experiments. For example, it must be verified that any observed effects follow from the parameter of interest (e.g. semantic category) rather than other low-level physical features (e.g. luminance, or spectral properties). Otherwise, interpretation of results is confounded. Often, researchers circumvent this issue by including additional control conditions or tasks, both of which are flawed and also prolong experiments. Here, we present some new approaches for controlling classes of stimuli intended for use in cognitive neuroscience, however these methods can be readily extrapolated to other applications and stimulus modalities. Our approach is comprised of two levels. The first level aims at equalizing individual stimuli in terms of their mean luminance. Each data point in the stimulus is adjusted to a standardized value based on a standard value across the stimulus battery. The second level analyzes two populations of stimuli along their spectral properties (i.e. spatial frequency) using a dissimilarity metric that equals the root mean square of the distance between two populations of objects as a function of spatial frequency along x- and y-dimensions of the image. Randomized permutations are used to obtain a minimal value between the populations to minimize, in a completely data-driven manner, the spectral differences between image sets. While another paper in this issue applies these methods in the case of acoustic stimuli (Aeschlimann et al., Brain Topogr 2008), we illustrate this approach here in detail for complex visual stimuli.

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In the book Conceptual Spaces: the Geometry of Thought [2000] Peter Gärdenfors proposes a new framework for cognitive science. Complementary to symbolic and subsymbolic [connectionist] descriptions, conceptual spaces are semantic structures constructed from empirical data representing the universe of mental states. We argue that Gärdenfors' modeling can be used in consciousness research to describe the phenomenal conscious world, its elements and their intrinsic relations. The conceptual space approach affords the construction of a universal state space of human consciousness, where all possible kinds of human conscious states could be mapped. Starting from this approach, we discuss the inclusion of feelings and emotions in conceptual spaces, and their relation to perceptual and cognitive states. Current debate on integration of affect/emotion and perception/cognition allows three possible descriptive alternatives: emotion resulting from basic cognition; cognition resulting from basic emotion, and both as relatively independent functions integrated by brain mechanisms. Finding a solution for this issue is an important step in any attempt of successful modeling of natural or artificial consciousness. After making a brief review of proposals in this area, we summarize the essentials of a new model of consciousness based on neuro-astroglial interactions. © 2011 World Scientific Publishing Company.

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The research project presented in this dissertation is about text and memory. The title of the work is "Text and memory between Semiotics and Cognitive Science: an experimental setting about remembering a movie". The object of the research is the relationship between texts or "textuality" - using a more general semiotic term - and memory. The goal is to analyze the link between those semiotic artifacts that a culture defines as autonomous meaningful objects - namely texts - and the cognitive performance of memory that allows to remember them. An active dialogue between Semiotics and Cognitive Science is the theoretical paradigm in which this research is set, the major intend is to establish a productive alignment between the "theory of text" developed in Semiotics and the "theory of memory" outlined in Cognitive Science. In particular the research is an attempt to study how human subjects remember and/or misremember a film, as a specific case study; in semiotics, films are “cinematographic texts”. The research is based on the production of a corpus of data gained through the qualitative method of interviewing. After an initial screening of a fulllength feature film each participant of the experiment has been interviewed twice, according to a pre-established set of questions. The first interview immediately after the screening: the subsequent, follow-up interview three months from screening. The purpose of this design is to elicit two types of recall from the participants. In order to conduce a comparative inquiry, three films have been used in the experimental setting. Each film has been watched by thirteen subjects, that have been interviewed twice. The corpus of data is then made by seventy-eight interviews. The present dissertation displays the results of the investigation of these interviews. It is divided into six main parts. Chapter one presents a theoretical framework about the two main issues: memory and text. The issue of the memory is introduced through many recherches drown up in the field of Cognitive Science and Neuroscience. It is developed, at the same time, a possible relationship with a semiotic approach. The theoretical debate about textuality, characterizing the field of Semiotics, is examined in the same chapter. Chapter two deals with methodology, showing the process of definition of the whole method used for production of the corpus of data. The interview is explored in detail: how it is born, what are the expected results, what are the main underlying hypothesis. In Chapter three the investigation of the answers given by the spectators starts. It is examined the phenomenon of the outstanding details of the process of remembering, trying to define them in a semiotic way. Moreover there is an investigation of the most remembered scenes in the movie. Chapter four considers how the spectators deal with the whole narrative. At the same time it is examined what they think about the global meaning of the film. Chapter five is about affects. It tries to define the role of emotions in the process of comprehension and remembering. Chapter six presents a study of how the spectators account for a single scene of the movie. The complete work offers a broad perspective about the semiotic issue of textuality, using both a semiotic competence and a cognitive one. At the same time it presents a new outlook on the issue of memory, opening several direction of research.

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Is the solution for medical errors medical or cognitive? In this AMIA2001 panel on medical error, we argued that medical error is primarily an issue for cognitive science and engineering, not for medicine, although the knowledge of the practice of medicine is essential for the research and prevention of medical errors. The three panelists presented studies that demonstrate that cognitive research is the foundation for theories of medical errors and interventions of error reductions.

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Power systems are large scale nonlinear systems with high complexity. Various optimization techniques and expert systems have been used in power system planning. However, there are always some factors that cannot be quantified, modeled, or even expressed by expert systems. Moreover, such planning problems are often large scale optimization problems. Although computational algorithms that are capable of handling large dimensional problems can be used, the computational costs are still very high. To solve these problems, in this paper, investigation is made to explore the efficiency and effectiveness of combining mathematic algorithms with human intelligence. It had been discovered that humans can join the decision making progresses by cognitive feedback. Based on cognitive feedback and genetic algorithm, a new algorithm called cognitive genetic algorithm is presented. This algorithm can clarify and extract human's cognition. As an important application of this cognitive genetic algorithm, a practical decision method for power distribution system planning is proposed. By using this decision method, the optimal results that satisfy human expertise can be obtained and the limitations of human experts can be minimized in the mean time.

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This proposal is a non-quantitative study based on a corpus of real data which offers a principled account of the translation strategies employed in the translation of English film titles into Spanish in terms of cognitive modeling. More specifically, we draw on Ruiz de Mendoza and Galera’s (2014) work on what they term content (or low-level) cognitive operations, based on either ‘stands for’ or ‘identity’ relations, in order to investigate possible motivating factors for translations which abide by oblique procedures, i.e. for non-literal renderings of source titles. The present proposal is made in consonance with recent findings within the framework of Cognitive Linguistics (Samaniego 2007), which evidence that this linguistic approach can fruitfully address some relevant issues in Translation Studies, the most outstanding for our purposes being the exploration of the cognitive operations which account for the use of translation strategies (Rojo and Ibarretxe-Antuñano 2013: 10), mainly expansion and reduction operations, parameterization, echoing, mitigation and comparison by contrast. This fits in nicely with a descriptive approach to translation and particularly with skopos theory, whose main aim consists in achieving functionally adequate renderings of source texts.

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Some motor tasks can be completed, quite literally, with our eyes shut. Most people can touch their nose without looking or reach for an object after only a brief glance at its location. This distinction leads to one of the defining questions of movement control: is information gleaned prior to starting the movement sufficient to complete the task (open loop), or is feedback about the progress of the movement required (closed loop)? One task that has commanded considerable interest in the literature over the years is that of steering a vehicle, in particular lane-correction and lane-changing tasks. Recent work has suggested that this type of task can proceed in a fundamentally open loop manner [1 and 2], with feedback mainly serving to correct minor, accumulating errors. This paper reevaluates the conclusions of these studies by conducting a new set of experiments in a driving simulator. We demonstrate that, in fact, drivers rely on regular visual feedback, even during the well-practiced steering task of lane changing. Without feedback, drivers fail to initiate the return phase of the maneuver, resulting in systematic errors in final heading. The results provide new insight into the control of vehicle heading, suggesting that drivers employ a simple policy of “turn and see,” with only limited understanding of the relationship between steering angle and vehicle heading.

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Over the last few years, there has been a surge of work in a new field called "moral psychology", which uses experimental methods to test the psychological processes underlying human moral activity. In this paper, I shall follow this line of approach with the aim of working out a model of how people form value judgements and how they are motivated to act morally. I call this model an "affective picture": 'picture' because it remains strictly at the descriptive level and 'affective' because it has an important role for affects and emotions. This affective picture is grounded on a number of plausible and empirically supported hypotheses. The main idea is that we should distinguish between various kinds of value judgements by focusing on the sort of state of mind people find themselves in while uttering a judgement. "Reasoned judgements" are products of rational considerations and are based on preliminary acceptance of norms and values. On the contrary, "basic value judgements" are affective, primitive and non-reflective ways of assessing the world. As we shall see, this analysis has some consequences for the traditional internalism-externalism debate in philosophy; it highlights the fact that motivation is primarily linked to "basic value judgements" and that the judgements we openly defend might not have a particular effect on our actions, unless we are inclined to have an emotional attitude that conforms to them.

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The traditional view of the economic agent is of an individual who is self-interested, rational and perceives the world “correctly”. However, there is a lot of experimental and other evidence that undermines this view of agents. It is argued that an attempt to model these agents properly requires the cognitive science idea of a mental representation- a mental state with content. It is shown that this idea gives economists resources to discuss critiques of economics by Sandel (2012) and Grant (2012). In particular, it allows us to think clearly about the notion of goods being “corrupted” by a change in context from a non-market to a market situation.

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En este trabajo se explica cuáles fueron las estrategias utilizadas y los resultados obtenidos en la primera exposición del nuevo esquema museográfico del Museo de Historia Natural de Londres, concebido por Roger Miles, Jefe del Departamento de Servicios Públicos de esa prestigiada institución. Esta iniciativa pretendía atraer a un mayor número de visitantes a partir de exposiciones basadas en modelos y módulos interactivos que relegaban a los objetos de las colecciones a un segundo plano. La exposición se tituló Human Biology y fue inaugurada el 24 de mayo de 1977. El tema de la exposición fue la biología humana, pero como se argumenta en este trabajo, Human Biology sirvió también como medio para legitimar el discurso modernizador de la biología humana, en tanto disciplina más rigurosa por las herramientas y técnicas más precisas que las utilizadas por la antropología física tradicional. Se buscaba también generar una audiencia para reforzar el campo interdisciplinario de la ciencia cognitiva y en particular la inteligencia artificial. El equipo de asesores científicos de la exposición contó entre sus miembros con personalidades que jugaron un papel protagónico en el desarrollo de esas disciplinas, y necesitaban demostrar su validez y utilidad ante los no especialistas y el público en general.