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Lee, Y. (author)E-learning has shifted the traditional learning paradigms in higher education, offering more flexible, ubiquitous, and personalized learning experiences. The previous years COVID-19 pandemic required a re-calibration of education to accommodate virtual learning environments from the traditional classroom-based education. Widespread learning...doctoral thesis 2024
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Tervoort, Paul (author)A lot of research has been conducted to make the task of plan generation more efficient. One idea to do so is the use of landmarks, which are sub-goals that must be true in every solution to the problem. The approximation of landmarks has a lower complexity than solving the task itself, and they can be used to guide the planner in the right...bachelor thesis 2024
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Marra, Giuseppe (author), Dumančić, S. (author), Manhaeve, Robin (author), De Raedt, Luc (author)This survey explores the integration of learning and reasoning in two different fields of artificial intelligence: neurosymbolic and statistical relational artificial intelligence. Neurosymbolic artificial intelligence (NeSy) studies the integration of symbolic reasoning and neural networks, while statistical relational artificial...review 2024
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Zhu, C. (author), Klapwijk, R.M. (author), Silva-Ordaz, Miroslava (author), Spandaw, J.G. (author), de Vries, M.J. (author)Spatial thinking is ubiquitous in design. Design education across all age groups encompasses a range of spatially challenging activities, such as forming and modifying mental representations of ideas, and visualizing the scenarios of design prototypes being used. While extensive research has examined the cognitive processes of spatial...journal article 2024
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Horvath, I. (author)System knowledge and reasoning mechanisms are essential means for intellectualization of cyber-physical systems (CPSs). As enablers of system intelligence, they make such systems able to solve application problems and to maintain their efficient operation. Normally, system intelligence has a human-created initial part and a system-produced ...journal article 2024
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Abou Eddahab-Burke, F. (author), Horvath, I. (author)This second Part of the paper (i) develops a detailed procedural model for handling complicated research problematics, (ii) transfers the procedural framework into a scenario of processing steps, (iii) demonstrates the deployment of the procedural scenario in a sample case, and (iv) addresses some important issues of research model development...journal article 2024
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Rainey, S. (author)This article examines the idea of mind-reading technology by focusing on an interesting case of applying a large language model (LLM) to brain data. On the face of it, experimental results appear to show that it is possible to reconstruct mental contents directly from brain data by processing via a chatGPT-like LLM. However, the author argues...journal article 2024
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de Haan, Laura (author)The frequent occurrence of catastrophic tailings dam failures underscores the urgent need to improve safety practices and minimise associated risks. This study introduces an advanced tool to evaluate the total Probability of Failure (PoF) of existing tailings dams systematically and effectively, supporting the rational prioritisation of...master thesis 2023
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Stoimenova, N. (author)Traditionally, the AI field has focused on providing answers in domains like chess, translation, protein folding, and item recommendations. These AI systems have a clear objectives and outcomes that can be easily classified as correct or incorrect. However, once such systems face the complexity of social contexts, they start to produce...doctoral thesis 2023
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Jaber, Wissam (author)Behaviour trees (BTs) serve as a powerful hierarchical structure for task execution, simplifying complex tasks but posing challenges in their manual design. The automatic generation of BTs addresses this concern, yet often lacks robust failure recovery options. This study presents Failure Recovery with Ontologically Generated Behaviour Trees ...master thesis 2023
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Zwanepol, Jeroen (author)Unmanned Underwater Vehicles (UUVs) operate in complex environments and need to be able to adapt to sudden failures, or changes in the environment. To achieve autonomous operation, UUVs must have the ability to self-adapt in such cases. To effectively handle component failures and unexpected events, self-adaptation must be applied to both the...master thesis 2023
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Zwinkels, Stan (author)In household and retail store environments, humans efficiently identify grasp regions of an object to perform everyday tasks. To enable robots to understand the requirements of a task and the properties of an object, a novel grasp framework, called the Shape Primitive and Reasoning Grasping Engine (SPaRGE), is proposed in this thesis. SPaRGE...master thesis 2023
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van Wee, G.P. (author), Banister, David (author)In an earlier publication (Van Wee & Banister, 2016), we explained that literature review papers (LRP) should explicitly report on the search and selection process of documents included. In this paper, we present two approaches for reporting the methodology for doing this: a basic approach and a reasoned approach. The basic approach includes...journal article 2023
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Voinea, Cristina (author), Marin, L. (author), Vica, Constantin (author)Many hypotheses have been advanced to explain the collective irrationality of COVID-19 vaccine hesitancy, such as partisanship and ideology, exposure to misinformation and conspiracy theories or the effectiveness of public messaging. This paper presents a complementary explanation to epistemic accounts of collective irrationality, focusing on...journal article 2023
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Zhu, C. (author), Klapwijk, R.M. (author)Encoding intangible data variables with visual, spatial, and physical properties demands a high level of spatial reasoning. The ability to reason spatially is widely deemed critical to science, technology, engineering, arts, and mathematics (STEAM) learning. While much research has explored the relationship between learning with...conference paper 2023
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Mâachou, Mohammed (author)Achieving human-like action planning requires profound reasoning and context-awareness capabilities. It is especially true for autonomous robotic mobile manipulation in dynamic environments. In the case of component failure, the autonomous robotic system requires reliable adaptation capabilities combined with a consistent understanding of the...master thesis 2022
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Empirical Evaluation of the Performance of CEVAE under Misspecification of the Latent DimensionalityBarták, Patrik (author)Causal machine learning deals with the inference of causal relationships between variables in observational datasets. <br/>For certain datasets, it is correct to assume a causal graph where information about unobserved confounders can only be obtained through noisy proxies, and CEVAE aims to address this case. <br/>The number of dimensions of...bachelor thesis 2022
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Tepjit, S. (author)Our research concentrated on a newly emerged problem related to smart cyber-physical systems (S-CPSs). The essence of the problem is that S-CPSs are based on reasoning mechanisms that enable them to generate context-dependent solutions for various application problems. Typically, development of application-specific reasoning mechanisms (ASRMs)...doctoral thesis 2022
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Harland, James (author), Thangarajah, John (author), Yorke-Smith, N. (author)Deliberation over goals is a fundamental feature of intelligent agent systems. In this article we provide pragmatic but principled mechanisms for quantifying the level of completeness of goals in a Belief-Desire-Intention (BDI) agent. Our approach leverages previous work on resource and effects summarization which we extend by accommodating both...journal article 2022
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Rocco, Roberto (author)This chapter investigates why a focus on justice should be included in planning and design education. The central argument, based on the ideas of moral philosopher Alasdair McIntyre, is that justice is a 'internal and necessary good' for the successful practise of spatial planning, without which it is meaningless. It contends that spatial...book chapter 2022