Intent recognition of autonomous agents
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Full Text E-thesis
Date
2024
Authors
Naeem, Ali A.
Journal Title
Journal ISSN
Volume Title
Publisher
University College Cork
Published Version
Abstract
This research develops a hierarchical framework that utilizes machine learning models and manifold learning techniques to infer the intent of autonomous agents from their observed actions. Through three distinct implementation examples—activities of daily living in a smart home, access control in an office building, and predicting vehicle destinations—this thesis demonstrates the applicability and effectiveness of the proposed framework in real-world scenarios. The framework presented narrows the design space for a machine learning practitioner who wishes to carry out intent recognition on a new data set by providing a structured approach to tackle the problem.
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Keywords
Intent recognition , Hierarchical framework , Autonomous agents , Manifold learning , Smart homes , Access control systems , Vehicle trajectory prediction , Machine learning , Artificial intelligence
Citation
Naeem, A. A. 2024. Intent recognition of autonomous agents. PhD Thesis, University College Cork.