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 28 for “"Temporal Reasoning"”.
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Spatial Depth Cues in Temporal Reasoning
Space is a foundational schema for reasoning about time and as a result time is conceptualized in terms of spatial reality. The ego-moving cognitive metaphor suggests that time is static and immobile and the self moves through it. Conversely, the time-moving cognitive metaphor suggests time moves …
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Changing times : an Iivestigation in probabilistic temporal reasoning
… theory has to represent change and uncertain temporal evolutions at a minimal computational cost. The theory has to perform temporal projection to predict the effects of actions and events, as well as temporal explanation to interpret observed developments. Temporal projection and explanation …
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Enabling fast flexible planning through incremental temporal reasoning
… events arise in the environment. This requires temporally flexible plans that allow the agent to adapt to execution uncertainties by not overcommitting on time constraints, and a continuous planner that replans at any point when the current plan fails. To achieve both of these requirements, …
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VRCC-3D+: Qualitative spatial and temporal reasoning in 3 dimensions
<p>"Qualitative Spatial Reasoning (QSR) has varying applications in Geographic Information Systems (GIS), visual programming language semantics, and digital image analysis. Systems for spatial reasoning over a set of objects have evolved in both expressive power and complexity, but implementations …
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A general approach to temporal reasoning about action and change
Reasoning about actions and change based on common sense knowledge is one of the most important and difficult tasks in the artificial intelligence research area. A series of such tasks are identified which motivate the consideration and application of reasoning formalisms. There follows a …
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DOCUMENT-LEVEL RELATION EXTRACTION AND TEMPORAL REASONING WITH LARGE LANGUAGE MODELS
… Relation Extraction (DocRE), and (2) Temporal Reasoning.
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Methodologies for the Development of Qualitative Spatial and Temporal Reasoning Applications
… and intuitive qualitative spatial and temporal reasoning (QSTR) methods, which address the inherent limitations of purely numerical approaches for reasoning about space and time. However, despite the extremely significant theoretical advances that have been made in the QSTR field, there …
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Temporal Reasoning in Clinical Narratives: From Information Extraction to Early Disease Detection
… This thesis presents a unified framework for temporally grounded patient modeling that integrates structured event representations, fine-grained temporal reasoning, and scalable predictive architectures. Initial experiments show that concept-based models paired with visit-level temporal …
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A neural-symbolic system for temporal reasoning with application to model verification and learning
… integration of knowledge representation, reasoning and learning into a robust computational model is one of the key challenges in Computer Science and Artificial Intelligence. In particular, temporal models have been fundamental in describing the behaviour of Computational and …
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Spatial-temporal reasoning applications of computational intelligence in the game of Go and computer networks
<p>"Spatial-temporal reasoning is the ability to reason with spatial images or information about space over time. In this dissertation, computational intelligence techniques are applied to computer Go and computer network applications. Among four experiments, the first three are related to the game …
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Understanding time in natural language text
… what may happen in the future is critical for reasoning about those events. It is thus an important natural language processing (NLP) task to understand time. This thesis advances the study of time by developing new insights into some aspects of the problem of reasoning about time in text, new …
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A General Semantic Model of Negation in Natural Language: Representation and Inference
… modal operators, sentential adverbs, pragmatics, temporal reasoning, intensionality and non-logical reasoning.
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Reasoning about knowledge using extensional logics
… functions should be used to describe objects. 3) Temporal reasoning is often necessary to represent many real world problems. 4) In cases where more than one label can apply to the same object, an agent's knowledge about labels must be explicitly represented. When these guidelines are followed, …
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Analogical representation in temporal, spatial, and mnemonic reasoning
… a system that reduces the NP-hard problem of temporal reasoning to a lower complexity. Our approach simply minimizes the number of times that we must pay the exponential expense. Furthermore, the representation can encode uncertainty and unknownness in an efficient manner. This allows for …
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Policy Compilation for Stochastic Constraint Programs
… explicitly as logical constraints, (b) performs temporal reasoning to extract logical temporal conflicts, and (c) compiles out the constraints of a Weighted, Conditional, Stochastic CSP into a compact policy representation which may be efficiently queried. Such an architecture facilitates the …
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Envisionment-Based Scheduling Using Time Interval Petri Networks: Representation, Inference, and Learning
… tasks. The main extensions concern explicit temporal reasoning, context, and operator support. The new formalism is hence called Time Interval Petri Nets (TIPNs). (3) TIPN properties and relation to other Al and Petri Nets formalisms are studied. We also present analysis methods facilitating …
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Planning and scheduling of concurrent high-level activities for UUV mission operations
… ability to manage concurrent activities, perform temporal reasoning, and account for a mix of replenishable and non-replenishable vehicle resources.
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Distributed Multi-Agent Decision Making Under Uncertain Communication
… scheduling algorithms capable of independently reasoning over communication delay. A key gap that must be addressed is a single-agent scheduler capable of deciding when to act given uncertain observation, which can the form the basis for distributed multi-agent scheduling. Existing research has …
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A temporal prognostic model based on dynamic Bayesian networks: mining medical insurance data
… a very expressive and flexible model to solve temporal problems in medicine. However, this involves various challenges due both to the nature of the clinical domain, and the nature of the DBN modelling and inference process itself. The challenges from the clinical domain include insufficient …
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Valid Time RDF
… proposals extending RDF and OWL for handling temporal data and knowledge. They all focus on the valid time. Some of these proposals stay within the standards whereas others add new constructs to RDF and its query language, SPARQL. We first study these models in a comparative framework and …
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