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 11 of 11 for “"task decomposition"”.
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A Distributed Q-learning Classifier System for task decomposition in real robot learning problems
… on a mobile robot for the study of complex task decomposition in real robot learning environments. The Distributed Q-learning Classifier System (DQLCS) is evolved from the standard Learning Classifier System (LCS) proposed by J.H. Holland. Two of the limitations of the standard LCS are its …
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The Effects of Job Characteristics and Task Decomposition on the Estimation of the Dollar-Value of Performance
<p>The purpose of this research was to investigate the influence of job characteristics and structuring aids on the accuracy and acceptance of managers' estimates of the standard deviation of job performance in dollars (i.e., SD<sub>y</sub>). The job characteristics consisted of critical incidents …
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COGNITIVE MODELING FOR HUMAN FACTORS TESTING: DEVELOPING A STRUCTURED TASK ANALYSIS FRAMEWORK FOR DESIGNERS
… root causes of use error. Existing Cognitive Task Analysis (CTA) methods offer structured approaches for modeling cognition, but these methods were designed for experts with a background in cognitive sciences. These methods also lack standardized syntax for describing the tasks, a discrete …
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Knowledge intensive natural language generation with revision
… Two problems with this architecture are poor task decomposition and the lack of interaction between conceptual and stylistic decisions making. A revision architecture operating in a knowledge intensive environment is proposed as a means to deal with these two problems. In a revision system. …
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Time Series Learning With Probabilistic Network Composites
… spatiotemporal sequences. Systematic methods of task decomposition using attribute- driven methods, especially attribute partitioning, are investigated. This leads to a novel and important type of unsupervised learning in which the feature construction (or extraction) step is modified to account …
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Global EDF Scheduling for Parallel Real-Time Tasks
… real-time programs to take advantage of intra-task parallelism in order to support computation-intensive applications with tight deadlines. In this thesis, we consider the Global Earliest Deadline First (GEDF) scheduling policy for task sets consisting of parallel tasks. Each task can be …
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An artificial intelligence environment for information retrieval research
… the skeleton of a flexible expert system, where task decomposition is performed in a knowledge-oriented fashion and where subtask managers are implemented as members of a community of experts. A three-level knowledge representation formalism of elementary data types, frames, and relations is …
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GPU Resource Optimization and Scheduling for Shared Execution Environments
… kernel methods which simultaneously trade off task decomposition and resource exploitation. Often, new architecture designs force code refinements in order to continue to achieve optimal performance. At the same time, not all applications require full utilization of the system to achieve that …
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Frameworks for enhancing temporal interface behaviour through software architectural design
… generated a trigger analysis technique for task decomposition in HCI (b)the analysis of architectures was later applied to investigate architectural options for mobile interfaces (c)the framework for notification servers commenced a design vocabulary in CSCW for the implementation of …
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Low-cost Methods for Error Detection in Multi-core Systems
… guiding principle of verifying high-level system tasks rather than checking correct operation of specific low-level components. This high-level, end-to-end approach to error-detection has distinct advantages over checking low-level components in terms of applicability to a wide range of systems, …
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Data-Driven Programming Abstractions and Optimization for Multi-Core Platforms
… in the form of new responsibilities for task decomposition, synchronization, and data movement within an application, which hitherto have been concealed by complex processing pipelines or deemed unimportant since tasks were largely executed sequentially. To some extent, the need for …