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 “"active inference"”.
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Focused active inference
… subset of observations - a problem known as active inference. Yet despite the myriad recent advances in both understanding and streamlining inference through probabilistic graphical models, which represent the structural sparsity of distributions, the propagation of information measures in …
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Active Inference in Multi-Objective Dynamic Environments
… less explored, yet promising paradigm is that of Active Inference - a theory which details a first-principled explanation of how agents use action and perception to successfully operate within an external environment. Much work has been done to explore the framework's viability in modelling …
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SEQUENTIAL DECISION MAKING FOR ACTIVE LEARNING AND INFERENCE IN ONLINE SETTINGS
… focuses on sequential decision making for active learning and inference in online settings. In particular, we consider the settings where the hypothesis space is large and labeled data are expensive. Examples include unusual activities in surveillance feedings, target search among large …
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Enhancing Augmented Reality with Audio: When and why it boosts online purchase intention
… product sounds in an AR experience, and by using active inference theory, it demonstrates how enhancing AR environments with sound can influence behavioural intentions in customers. Moreover, it presents two important auditory factors (i.e., sound pleasantness and sound controllability), each of …
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Advancing Efficiency and Safety in Autonomous Sequential Decision Making
… state. A novel framework that integrates active inference (AIF), based on the free energy principle, with RL in continuous-space POMDPs is introduced. By emphasizing the minimization of expected free energy (EFE), AIF augments RL, enhancing decision making in the face of state uncertainty. …
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Neural World Models for Computer Vision
… of the world through passive observation and active interaction. Their world model allows them to anticipate what might happen next and act accordingly with respect to an underlying objective. Such world models hold strong promises for planning in complex environments like in autonomous …
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Mechanisms of apathy in health and Parkinson's disease
… of action. I propose that apathy is a failure of active inference, caused by aberrant precision of prior beliefs. I hypothesised that apathy is associated with reduced precision of priors for action, and that the relative weighting of priors is modulated by noradrenaline. To test these hypotheses, …
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ON THE PROBABILISTIC MODELLING OF PAIN
Pain is a complex subjective experience encompassing sensory, affective, and cognitive dimensions. Evidence challenges the linear relationship between nociceptive activation and pain perception, revealing scenarios where pain is felt without nociceptive input or vice versa. This research is based …
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Models for Satisficing Mentalizing
… general ability to perform complex mental state inference has been shown in a range of studies. At the same time other studies have found that people exhibit cognitive biases, such as an egocentric bias in ToM tasks, especially in situations that require more intuitive or unsolicited ToM from …
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Artificial General Intelligence (AGI)-Native Wireless Systems: Digital Twins and World Models for Beyond 6G Networks
… with the reasoning, planning, and complex inference needed to operate in dynamic, real-world environments. This envisioned new generation of networks is driven by a cognitive brain architecture that is founded on three components: A perception module, a world model, and an action-planning …
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Human control of robots over discrete noisy channels with high latency: toward efficient EEG-based brain-robot interfaces
This thesis presents a framework for the design of interfaces that can only obtain noisy and discrete inputs at high latency from a human user (e.g., with an electroencephalograph) to control a robotic system (e.g., a robotic wheelchair) that can provide visual feedback. In this framework, the …