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We propose CLP(QS), a declarative spatial reasoning framework capable of representing and reasoning about high-level, qualitative spatial knowledge about the world. We systematically formalize and implement the semantics of a range of qualitative spatial calculi using a system of non-linear polynomial equations in the context of a classical constraint logic(More)
Spatial assistance systems are computational embodiments of spatial decision-making and other forms of analytical abilities that otherwise typically require extensive domain-specific training, knowledge, and expertise. Broadly, such systems are essentially instruments of <i>assistance, assurance</i> and <i>empowerment</i>. Whereas these systems may vary in(More)
We position a narrative-centred computational model for high-level knowledge representation and reasoning in the context of a range of assistive technologies concerned with visuo-spatial perception and cognition tasks. Our proposed narrative model encompasses aspects such as space, events, actions, change, and interaction from the viewpoint of commonsense(More)
Conventional design support software tools cannot effectively manage the complex, heterogeneous information used in engineering and architecture (EA) tasks. Crucially, despite uncertainty being an inherent quality of EA information particularly in the early stages of a design project, current tools solely rely on numerical approaches which do not support(More)
To allow the immense volume of spatial data currently available to be used effectively, people need intelligent query tools that are simple and intuitive. Standard query tools have a number of serious usability limitations, as they often rely solely on numerical approaches when dealing with spatial information. The qualitative reasoning community has(More)
Although a wide range of sophisticated Qualitative Spatial and Temporal Reasoning (QSTR) formalisms have now been developed, there are relatively few applications that apply these commonsense methods. To address this problem, the authors of this chapter developed methodologies that support QSTR application design. They established a theoretical foundation(More)
We propose a human-centred model for abstraction, modelling and computing in function-driven spatial design for architecture. The primitive entities of our design conception ontology and computing framework are driven by classic notions of `structure, function, and affordance' in design, and are directly based on the fundamental human perceptual and(More)
We present a cognitive design assistance system equipped with analytical capabilities aimed at anticipating architectural building design performance with respect to people-centred functional design goals. The paper focuses on the system capability to generate narratives of visuo-locomotive user experience from digital computer-aided architecture design(More)