Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 55 for “"connectionist"”.
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Connectionist Modelling of Category Learning
… with respect to the ability of exemplar-based connectionist models of category learning to offer accounts of learning about stimuli with variable dimensionality. Models which may simulate these tasks, such as the configural-cue network (Gluck & Bower, 1988b), appear to be unable to accurately …
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A connectionist approach to human planning
In the present thesis, a connectionist model (called EVA) was developed for the simulation of human planning behavior in the domain of Plan-A-Day. Plan-A-Day is a diagnostic instrument for the assessment of planning capabilities (Funke & Krüger, 1995), which provides a computer scenario in which …
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Classical and connectionist models of cognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 1990.
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A Hybrid Connectionist-Instance Model of Recognition Memory
While connectionist models have been proposed and met with some success in many areas of psychology, connectionist models of memory have not met the standards created by competing models of memory. Much of the reason for this failure is due to the severe interference connectionist models typically …
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Adaptive techniques in signal processing and connectionist models
… is given, and in Chapter 6 a review of relevant connectionist models. In Chapter 7 the generalised adaptive filter is derived. This is an adaptive filter with the ability to model non-linear input-output relationships. The Volterra functional analysis of non-linear systems is given and this is …
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A connectionist explanation of presence in virtual environments
… represents the construction of a three-layer connectionist model to explain and predict this concept of cognitive presence. This model takes input from two major sources: the perceptual modalities of the user (bottom-up processes), and the mental state of the user (top-down processes). These …
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Learning to Speak: A Connectionist Approach to Sentence Production
… is a complex problem for theories of language. A connectionist model of sentence production is used to instantiate the relationship between these two domains. The model addresses the issue of how learning can be both sensitive to regularities in the data, and also able to generalize to novel …
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Large-scale connectionist natural language parsing using lexical semantic and syntactic knowledge
… has focused on two main characteristics of connectionist models for natural language processing: their adaptability to different tagging conventions, and their ability to use multiple linguistic constraints in parallel during sentence processing. In focusing on these key characteristics, an …
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Social categorization in connectionist networks: Towards a unified model of person perception
Contains fulltext : 175877.pdf (Publisher’s version ) (Open Access)
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Comparative experimental study of control theoretic and connectionist controllers for nonlinear systems
Thesis (Ocean. E.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1995.
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Symbolic and connectionist machine learning techniques for short-term electric load forecasting
This work applies connectionist neural network learning techniques and symbolic machine learning techniques to the problem of short-term electric load forecasting. The short-term electric load forecasting problem considered here is the prediction of bus loads one day ahead. The forecast quantities …
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MURPHY: A neurally-inspired connectionist approach to learning and performance in vision-based robot motion planning
… controller and motion planner based on a connectionist network architecture has been developed, called MURPHY. The physical setup consists of a video camera and a Rhino XR-3 robot arm with three joints that move in the image plane of the camera. We assume no a priori model of arm …
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Epistemic opacity: a feature not a bug: an exploration into the relationship between brains and ANNs
… recognition. However, while the move to employ connectionist AI as a tool has led to remarkable successes in a variety of fields, it has also come with issues such as the black box problem, or epistemic opacity. Within a strictly engineering paradigm, attempts to explain the internal reasoning …
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The functionality of spatial and time domain artificial neural models.
… the functionality of the units used in connectionist Artificial Intelligence systems. Artificial Neural Networks form the foundation of the research and their units, Artificial Neurons, are first compared with alternative models. This initial work is mainly in the spatial-domain and …
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Connectionism and the integration of error : applications in naturalized epistemology and minimal rationality
… capacity to learn from error. I contend that the connectionist model of artificial intelligence provides the necessary framework for an understanding of cognition in which knowledge emerges as a dynamic product of learning. Epistemic content in this alternative is not comprised of fixed …
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Understanding leader representations: Beyond implicit leadership theory
… the dynamic representations generated by the connectionist perspective is an appropriate approach to understanding how we perceive leaders. Similarly, implicit leadership theory (ILT) explains that our cognitive understandings of leaders are based on a cognitive structure that we use as a …
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Rule Extraction from Support Vector Machines: A Geometric Approach
Despite the success of connectionist systems in prediction and classi¯cation problems, critics argue that the lack of symbol processing and explanation capability makes them less competitive than symbolic systems. Rule extraction from neural networks makes the interpretation of the behaviour of …
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Representation Learning for Grounding Vision and Language in Hierarchical Robot Planning
… acting. We employ hybrid systems that combine connectionist models with traditional planning algorithms to permit processing data with high variability and producing reliable task and action sequences. Such hybrid designs leverage the strengths of both methods but necessitate aligning output …
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Researching strategies for risk reduction in sexual behaviour
… relationships.<br/><br/>Some developments in connectionist theory are used to explore some possible distinctions between implicit and explicit knowledge.<br/><br/>These distinctions are then used to explore the scope of the two paradigms and, drawing on findings from the practical research, to …
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Storage Capacity of the Linear Associator: Beginnings of a Theory of Computational Memory
… thesis presents a characterization of a simple connectionist-system, the linear-associator, as both a memory and a classifier. Toward this end, a theory of memory based on information-theory is devised. The principles of the information-theory of memory are then used in conjunction with the …
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