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 23 for “"Ai-agent"”.
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Towards a Strong, Human-Compatible Codenames AI Agent
… planning and reasoning problems without the aid of search procedures. While a large body of work has developed search procedures tailored to single-turn, single-user natural language interactions, language generation in multi-agent contexts involving multiple users, imperfect information, and …
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Machine social intelligence in Virtualhome
… a Watch-And-Help (WAH) challenge and a multi-agent environment for testing social intelligence in multiple agents. In the challenge, an AI agent needs to help a human-like agent perform a complex household task efficiently. To succeed, the AI agent needs to i) understand the underlying goal of …
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Legal personality of artificial intelligence under international law
… of international law over the years. Without claiming advanced technological knowledge in scientific areas like robotics and engineering the paper will then try to present some basic overview over the latest developments concerning Artificial Intelligence, such as quantum computing and emotional …
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Exploring the Role of Trust during Human-AI Collaboration in Managerial Decision-Making Processes
… of using Artificial Intelligence-based (AI-based) models to assist human decision-makers, little is known about how managers in business environments approach AI-assisted decision-making. To this end, our research is guided by two questions: (1) What facets make the Human (Manager)-AI …
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iART: An intelligent assistive robotic therapy system for home-based stroke rehabilitation
… Stroke is the leading cause of motor impairments and serious long term disability in the United States. These impairments severely limit a patient's ability to lead a normal independent life, and requires them to participate in hospital-based stroke rehabilitation. Recent years have seen …
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Developing game AI for the real‐time strategy game StarCraft
Research into intelligent agents designed to play Real-Time Strategy (RTS) games has been limited compared to the amount of research that has gone into designing agents for playing board games such as chess. This is largely due to the fact that developing an agent for RTS is more complicated. There …
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Hybrid AI-driven Approach to Context-Aware Inter-Slice Load Balancing for Cloud-Native Functions in 5G Networks
… and industry, focusing on cloud-native or container-based network functions (CNFs) that improve scalability and lifecycle management compared to virtual network functions (VNFs). CNFs simplify orchestration by leveraging reliable service meshes and eliminating proxies. The thesis emphasizes …
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Augmenting large language models with static code analysis for accelerated software development and quality improvements
… a verification-aware artificial intelligence (AI) agent architecture. The pipeline consists of six steps that combine SonarQube for static issue detection, retrieval-augmented generation (RAG) based false positive mitigation, LLM-based code revision, structural dependency analysis, test case …
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Human-centered Ambient Artificial Intelligence In Smart Buildings
… model-enhanced Building Energy Management (BEM) AI agent was studied as an integration of perception, reasoning, and action modules. Evaluated on a proposed benchmark comprising 120 natural-language queries across four residential datasets, the agent achieved 86% accuracy in device control, 74% …
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Design Rules for LLM-Generated Code: A RealWorld Case Study
… abstract purposes and relationships of self-contained units of functionality. It enforces stringent design standards and aims to aid humans better understand complex software behavior. To test code extensibility, we develop three phases of new functionality to be added to the RealWorld API. Each …
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Towards Human-AI Teaming for Skill Development: From Dyadic Interview Practice to Triadic Programming Collaboration
… has become critical. This thesis explores how AI can support skill development in these domains, progressing from AI as a sole practice partner to AI as a collaborative teammate. Our first two studies investigate LLM-based conversational AI for interview preparation. Study 1 developed an …
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A computational model of moral learning for autonomous vehicles
… making tasks to artificial intelligence (AI) systems as we anticipate widespread adoption of autonomous systems such as autonomous vehicles (AV). However, recent string of fatal accidents involving AV reminds us that delegating certain decisions making tasks have deep ethical …
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An XR-Driven Digital Twin Platform for Cybersecurity Education
… twins as an educational tool within the domain of cybersecurity, specifically targeting the infrastructure of water treatment plants. A digital twin is a precise virtual model of a physical asset, process, or system, capturing its state, behavior, and interactions in real-time. By …
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User Engagement Dynamics: The Impact of Platform Design and Generative AI
… investigates how platform design choices and AI integration reshape user engagement dynamics on digital platforms. As platforms redesign interfaces and deploy AI-enabled features at scale, understanding how specific design choices influence feedback loops, cognitive load, and content discovery …
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Learning manipulative skills using an artificial intelligence approach.
The aim of this research was to design a non-linear controller based on an Artificial Neural Network and Reinforcement Learning algorithms implementation, which is able to perform an intelligent robotic assembly of mechanical components. Different information was applied and combined to develop a …
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Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision
… empower computers to make generalizations from available data: labeled and unlabeled. The more labeled data we have the better predictions we’ll make, but labeled data usually comes at a cost and should be used sparingly. In some cases, the nature of prediction problem can be changed by using a …
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Building Strategic AI Agents for Human-centric Multi-agent Systems
… addresses the challenge of developing strategic AI agents capable of effective decision-making and communication in human-centric multi-agent systems. While significant progress has been made in AI for strategic decision-making, creating agents that can seamlessly interact with humans in …
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Towards Building a Pedagogical Agent that Supports Children’s Exploration and Home Literacy Education
Early childhood education remains a critical topic and challenge in the past decades due to its impact on children’s future. Since the late 90s, early childhood and developmental psychology researchers have started promoting a new child-centered, exploration-and-play-focused early childhood …
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Enhancing Autonomous Robots in the AEC Industry using Foundation Models
… to address these issues; however, adoption remains in its early stages due to technical challenges in unstructured environments and the difficulty of establishing human-robot trust. This situation calls for systems that can generalize across tasks, automate tasks with transparent reasonings, …
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