Search for dissertations about: "Intent"
Showing result 1 - 5 of 207 swedish dissertations containing the word Intent.
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1. Towards Intent-Driven Systems
Abstract : Context: Software supporting an enterprise’s business, also known as a business support system, needs to support the correlation of activities between actors as well as influence the activities based on knowledge about the value networks in which the enterprise acts. This can be supported with the help of intent-driven systems. READ MORE
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2. Towards Intent-Driven Systems Based on Context Frames
Abstract : In this research project we investigate how machine actors can support the business intents (desired outcomes) of an enterprise via predictive execution flows, prescriptive execution flows, and bidirectional knowledge creation between human actors and machine actors. A context frame supports bidirectional knowledge creation via interventions and counterfactual analysis. READ MORE
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3. Computational models for intent recognition in robotic systems
Abstract : The ability to infer and mediate intentions has been recognized as a crucial task in recent robotics research, where it is agreed that robots are required to be equipped with intentional mechanisms in order to participate in collaborative tasks with humans.Reasoning about - or rather, perceiving - intentions enables robots to infer what other agents are doing, to communicate what are their plans, or to take proactive decisions. READ MORE
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4. Modelling intent for Manned-Unmanned Teaming : Exploring human-centric approaches for future combat aircraft systems
Abstract : What does it mean to understand intent? This question is at the core of resilient teamwork since team members must account for each other’s intent in anticipated as well as unanticipated situations to adaptively coordinate their actions. As we enter an era where humans and synthetic agents are supposed to work as teammates, this question is brought to its head. READ MORE
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5. Faster and More Resource-Efficient Intent Classification
Abstract : Intent classification is known to be a complex problem in Natural Language Processing (NLP) research. This problem represents one of the stepping stones to obtain machines that can understand our language. Several different models recently appeared to tackle the problem. The solution has become reachable with deep learning models. READ MORE