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 14 of 14 for “"Artificial General Intelligence"”.
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On Performance and Trustworthiness of AI: from inverse problems to Artificial General Intelligence
Artificial Intelligence (AI) has emerged as a powerful problem-solving tool, both in the mathematical field of inverse problems and, more recently, in broader applications with the advent of modern chatbots. However, AI systems have repeatedly been shown to be prone to producing hallucinations, …
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Artificial General Intelligence (AGI)-Native Wireless Systems: Digital Twins and World Models for Beyond 6G Networks
… systems that can reliably support physical artificial intelligence (AI) agents (e.g., robots, autonomous vehicles, etc.) requires advanced levels of intelligence beyond today's state-of-art. On the one hand, the 6G vision of AI-native networks typically relies on standard AI methods (e.g., …
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Towards a neuro-symbolic approach to moral judgment
The goal to build a safe Artificial General Intelligence requires an advancement beyond any single human being’s moral capacity. For the same reason why we desire democracy, a moral AGI will need to be able to represent a wide array of perspectives accurately. While there has been a lot of work to …
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Performance of an AGI-aspiring system & narrow-AI approaches : a systematic comparison
While research progresses in artificial general intelligence (AGI), as well as in traditional narrow-AI such as machine learning algorithms, direct comparisons between AI learners are few and far between. Evaluating and comparing the performance of different architectures is likely to prove …
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Predicate Calculus for Perception-led Automata
Artificial Intelligence is a fuzzy concept. My role, as I see it, is to put down a working definition, a criterion, and a set of assumptions to set up equations for a workable methodology. This research introduces the notion of Artificial Intelligent Agency, denoting the application of Artificial …
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The Promise of Technology: Politics and Advocacy in the Digital Age
… quantum computers, large language models, and artificial general intelligence. Drawing on the scholarship of Hannah Arendt and Emma Stone Mackinnon, I argue that the promise of technology is an overarching historical narrative of progress in time, to which the specific promise-making relating …
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Representation Learning for Agents in Non-Markovian Environments
… a representation learning scheme for AIXI, an artificial general intelligence framework. The generality of AIXI partially stems from treating each environment model as a probability distribution conditioned on the entire history. Approximations of AIXI typically assume the environment to be …
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Representation Learning for Agents in Non-Markovian Environments
… a representation learning scheme for AIXI, an artificial general intelligence framework. The generality of AIXI partially stems from treating each environment model as a probability distribution conditioned on the entire history. Approximations of AIXI typically assume the environment to be …
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The effectiveness of automatic item generation for the development of cognitive ability tests
… methods and the potential for measuring the intelligence of artificial general intelligence (AGI) is discussed in the final chapter, proposing that the use of AIG techniques create new opportunities as well as challenges for researchers that will redefine the assessment of intelligence.
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Naturally Generated Decision Trees for Image Classification
… away from specific systems and instead toward artificial general intelligence (AGI). AGI requires a deeper understanding over a broad range of information, and more so the ability to learn new information over time. In our work we embed networks of varying sizes and complexity within decision …
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Efficient and Collaborative Methods for Distributed Machine Learning
… encourage collaboration in the emerging era of Artificial General Intelligence (AGI). In this dissertation, we contribute to the establishment of a theoretically justified, methodologically comprehensive, and universally applicable Efficient and Collaborative Distributed Machine Learning …
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Neural diversity in multi-agent learning
Collective intelligence is key to life and pervasive in natural systems. Despite its importance, this emergent property remains largely unknown to us. While studies in natural systems have identified diversity as one of the core principles leading to its emergence, research in collective artificial …
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The Quest for Life and Intelligence in Digital Puppets.
… and discussed in this study requires both general, transferable human-machine interacting skills, and the specific digital puppetry skills necessary for project phases such as rigging and manipulation. This practical approach prioritises the physical, as opposed to the psycho-physical. …