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Cognitive Science General Exam - Cognitive Science Ph.D. Program
Cognitive Science General Exam - Cognitive Science Ph.D. Program

... The questions on the exam will be general and synthetic in nature. Students might expect a question asking them to compare two theories, to explain how a theory might account for an empirical observation, or to predict the outcome of an experiment from one or more theoretical perspectives. These are ...
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... consist of a knowledge base and a set of rules for applying that knowledge base to a particular situation. Most common form of AI in business. • Neural Networks mimic the way the brain works, analyzing large quantities of data and information to establish patterns and infer relationships. • Genetic ...
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... Thecapability of these smartphones is to run a variety of all kinds of applications, make user’s use it most of the time as well as for their daily tasks. The aim of this study is to develop an expert system running on android smartphones in order to solve computer problems. This approach is an accu ...
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... schemes used to dictate the semantics of a language. One simple form of artificial intelligence, as previously suggested, is the rulebased system, also referred to as expert systems. Before detailing rule-bases systems, it is good emphasis that not everyone considers this to be an intelligent system ...
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... states that are essential to the high level functional architecture of a sophisticated agent. Fleas may not need them. Of course, internal perception, like external perception, is liable to error, omission or oversimplification. In both cases, we can distinguish how things appear to the perceiver an ...
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... The intelligent control community tried to mimic concrete human thought processes in search for competence. The fragility of the realized systems claimed however for a new foundation that was not going to be found in the so called new AI or in postmodern robotics. Cognitive science, on the other sid ...
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... Thesen, T., Vibell, J.F., Calvert, G.A. & Österbauer, R.A. (2004). Neuroimaging of Multisensory Processing in Vision, Audition, Touch, and Olfaction. Cognitive Processing, vol. 5(2), pp. 84-93. ...
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... navigation process in a virtual world is elaborated. This chapter presents the possibilities of using neural networks as a tool for studying spatial navigation within virtual worlds. The benefits of this approach and the possibility of extending the methodology to the study of navigation in Human Co ...
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Artificial Intelligence and Artificial Life – should artificial systems

... ascription of mental states to other systems is often made implicitly, that is, in the way that we interact with the system. For instance, we behave differently with another human being than we do with a cat, and with a thermostat and a video-recorder. Previous interactions have shown us that video- ...
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Ecological interface design

Ecological interface design (EID) is an approach to interface design that was introduced specifically for complex sociotechnical, real-time, and dynamic systems. It has been applied in a variety of domains including process control (e.g. nuclear power plants, petrochemical plants), aviation, and medicine.EID differs from some interface design methodologies like User-Centered Design (UCD) in that the focus of the analysis is on the work domain or environment, rather than on the end user or a specific task. The goal of EID is to make constraints and complex relationships in the work environment perceptually evident (e.g. visible, audible) to the user. This allows more of users' cognitive resources to be devoted to higher cognitive processes such as problem solving and decision making. EID is based on two key concepts from cognitive engineering research: the Abstraction Hierarchy (AH) and the Skills, Rules, Knowledge (SRK) framework.By reducing mental workload and supporting knowledge-based reasoning, EID aims to improve user performance and overall system reliability for both anticipated and unanticipated events in a complex system.
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