Concept of a Robust & Training-free Probabilistic System for Real-time Intention Analysis in Teams

Die Arbeit beschäftigt sich mit der Analyse von Teamintentionen in Smart Environments (SE). Die fundamentale Aussage der Arbeit ist, dass die Entwicklung und Integration expliziter Modelle von Nutzeraufgaben einen wichtigen Beitrag zur Entwicklung mobiler und ubiquitärer Softwaresysteme liefern können. Die Arbeit sammelt Beschreibungen von menschlichem Verhalten sowohl in Gruppensituationen als auch Problemlösungssituationen. Sie untersucht, wie SE-Projekte die Aktivitäten eines Nutzers modellieren, und liefert ein Teamintentionsmodell zur Ableitung und Auswahl geplanten Teamaktivitäten mittels der Beobachtung mehrerer Nutzer durch verrauschte und heterogene Sensoren. Dazu wird ein auf hierarchischen dynamischen Bayes’schen Netzen basierender Ansatz gewählt

The propositional nature of human associative learning

The past 50 years have seen an accumulation of evidence suggesting that associative learning depends oil high-level cognitive processes that give rise to propositional knowledge. Yet, many learning theorists maintain a belief in a learning mechanism in which links between mental representations are formed automatically. We characterize and highlight the differences between the propositional and link approaches, and review the relevant empirical evidence. We conclude that learning is the consequence of propositional reasoning processes that cooperate with the unconscious processes involved in memory retrieval and perception. We argue that this new conceptual framework allows many of the important recent advances in associative learning research to be retained, but recast in a model that provides a firmer foundation for both immediate application and future research

Towards Improving Learning with Consumer-Grade, Closed-Loop, Electroencephalographic Neurofeedback

Learning is an enigmatic process composed of a multitude of cognitive systems that are functionally and neuroanatomically distinct. Nevertheless, two undeniable pillars which underpin learning are attention and memory; to learn, one must attend, and maintain a representation of, an event. Psychological and neuroscientific technologies that permit researchers to “mind-read” have revealed much about the dynamics of these distinct processes that contribute to learning. This investigation first outlines the cognitive pillars which support learning and the technologies that permit such an understanding. It then employs a novel task—the amSMART paradigm—with the goal of building a real-time, closed-loop, electroencephalographic (EEG) neurofeedback paradigm using consumergrade brain-computer interface (BCI) hardware. Data are presented which indicate the current status of consumer-grade BCI for EEG cognition classification and enhancement, and directions are suggested for the developing world of consumer neurofeedback

The experience of absorption : comparison of the mental processes of meditation between emic yogic and etic neuroscientific perspectives on Ishvara Pranidhana meditation

textModernity has seen the exchange of ideas about cognition between western science and eastern meditation traditions. In particular, western ways of thinking about the natural world have infiltrated Indian theories of yoga. This intersection of ideas in the twentieth-century has resulted in a problematic trend to theorize yogic phenomena, including meditation, in scientific terms. These translations converge on explicating yogic processes within a context of advancing knowledge about the brain. This translational approach to bringing etic and emic perspectives together in the same framework results in interpretations of meditation that succumb to problems cognitive science faces at a broader level in theorizing cognition and mind-body interrelations. In this study, I take a different approach to bringing emic and etic perspectives together by placing a phenomenologically interpreted emic account of absorption (the meditative shift in consciousness) into dialogue with current scientific understandings of three central mental processes of meditation. Specifically, I analyze ways of conceptualizing attention, memory, and emotion, and their underlying mechanisms as posited in yoga and science, focusing on the problem of how each system interprets the reality of absorption. This comparison suggests a basic similarity between the two systems: theorizing cognition and meditative absorption in terms of embodiment. This finding emphasizes the dual nature of embodiment as both experiential and physical. Finally, I consider this dialogue from an embodied mind perspective, an emerging way of thinking about and theorizing the mind-body in cognitive science, because this perspective challenges longstanding theoretical problems in western understandings of how the mind works. This analysis suggests that theorizing meditation in these dual terms of embodiment potentially solves the reductive challenges of dualistic and materialist philosophy that have plagued both religious and naturalistic attempts to explain absorption. This interdisciplinary dialogue provides a framework with which to think more critically about translational and cross-disciplinary efforts that have previously confused the goals of yoga and science and their respective foci on practice and mechanisms. I conclude that bridging ideas in this dialogical way reveals a complementary perspective between phenomenological and biological ways of understanding the mind that both hinge on embodied cognition.Educational Psycholog

Analysis and Control of Mobile Robots in Various Environmental Conditions

The world sees new inventions each day, made to make the lifestyle of humans more easy and luxurious. In such global scenario, the robots have proved themselves to be an invention of great importance. The robots are being used in almost each and every field of the human world. Continuous studies are being done on them to make them simpler and easier to work with. All fields are being unraveled to make them work better in the human world without human interference. We focus on the navigation field of these mobile robots. The aim of this thesis is to find the controller that produces the most optimal path for the robot to reach its destination without colliding or damaging itself or the environment. The techniques like Fuzzy logic, Type 2 fuzzy logic, Neural networks and Artificial bee colony have been discussed and experimented to find the best controller that could find the most optimal path for the robot to reach its goal position. Simulation and Experiments have been done alike to find out the optimal path for the robot

On the representation of semantic and motor knowledge. Evidence from brain damaged patients

When we think of an apple, do we actually feel the same as when we eat it? The central theme of this work is to understand whether the permanent representation of an object corresponds to a reactivation of sensations we perceived when we actually had it in our hands. A recent debate in cognitive neuroscience, in fact, is concerned with the possibility that the neural systems that mediate overt action and sensory experience are causally involved in the neural representation of actions and real objects. On the other hand, more classical models postulate a relative separation between the how system and the what system, the former being more related to action, the latter more related to visual and semantic object representation. Such a classical view does not deny that the two streams normally have a close interaction but, based on neuropsychological and behavioral evidence, it holds that they can work separately in the case of selective brain damage or in particular experimental conditions. In this thesis I will explore the possible role of the motor processes in understanding objects and actions by studying brain damaged patients performing a series of action- and object-related tasks. In Chapter I, I will briefly introduce the literature on the relationship between actions and concepts of both healthy and brain damaged subjects. Chapter II reports a study on a group of 37 stroke patients who have been tested for their ability to recognize and use objects, as well as to recognize and imitate actions. In this group I found double dissociations suggesting that these tasks depend on separable cognitive processes. In Chapter III, I will describe a double dissociation study in which we compared the performance of two patients with apraxia with that of two patients with semantic impairment, and I will show how the object knowledge of the latter patients decline in time although they maintained relatively good ability to use objects. Finally, in Chapter IV I will analyze the performance of a new series of apraxic patients on a set of tasks aimed at testing a computational model which accounts for the errors that apraxic patients make when using objects. The results will not completely fit with the embodied theories of knowledge. Rather, they are compatible with \u201cdisembodied\u201d models that postulate a separation between the object conceptual knowledge and the sensory-motor input and output systems