We investigated the relations among mental rotations and spatial perception abilities, handedness, and sexual orientation in both men and women. The present study included a relatively large sample and attempted to control statistically for important covariates such as general intelligence. Significant sex differences were obtained for mental rotations and spatial perception, but not for handed...

The dramatic increase in geospatial data occasioned by developments in digital mapping, remote sensing, IT, and widespread generalization of Geographic Information Systems (GIS), emphasises the importance of exploring new approaches to spatial analysis and modelling. This favours the creation of new knowledge and eventually helps the process of scientific discovery. In this context the special ...

The predicate logic gates are proposed for spatially modulated signals. Two voltage impulses are transmitted along the coupled wires, and they are considered as a predicate expression. The developed gates perform the logical operations AND, NOT and OR with these expressions. They are used for a predicate logic microprocessor. Key-Words: Artificial spatial intelligence, predicate logic, topologi...

The contribution presents a computational modeling approach to geographic knowledge processing in mind. Geographic knowledge is assumed to be stored in a piecemeal manner. Spatial knowledge fragments form a hierarchical structure of lean knowledge. An actual mental image representation is constructed when needed to perform a specific task. In this construction process missing information is com...

Spatio-temporal outliers are occurrences that can reveal significant information about the phenomena under investigation. They are detected after comparing their non-spatial attributes with their spatio-temporal neighbours. One of the important definitions that need to be made is the spatio-temporal neighbourhood of an instance. There can be no universally applicable definition of the spatio-te...

This paper proposes a continuous-time machine learning model that learns the chronological relationships and the intervals between events, stores and organises the learnt knowledge in different levels of abstraction in a network, and makes predictions about future events. The acquired knowledge is represented in a categorisation-like manner, in which events are categorised into categories of di...

Next-generation people-centred design systems, frameworks, assistive tools, educational aids, and design policies necessitate foundational abstraction and computational building blocks where the modalities of human perception, action, environmental experience, and design conception and semantics are central. Our research in this context addresses the following questions: – Contemporary CAAD too...

In ambient intelligence systems, it is necessary to represent and reason about dynamic spatial scenes and configurations. Primarily, the ability to perform predictive and explanatory analyses on the basis of available sensory data is crucial toward serving a useful intelligent function within such environments. In this paper, we present a qualitative model for representing the relevant aspects ...

The articulation of the Science of Design by Herbert Simon and the paradigmatic relevance of Artificial Intelligence in that context are closely intertwined topics: Simon elaborates the ‘Sciences of the Artificial’ in the context of the design of artefacts. Situated in this AI-centric view of design, we characterize “spatial computing for design” as a specialisation concerned with the developme...

The development of Ambient Intelligence (AmI) software applications implies dealing with a wide variety of devices, which runs in different environments. These applications also target a wide range of end-users, with different needs and requirements. Software Product Lines are a relatively modern software paradigm whose main goal is to offer techniques and mechanisms to the systematic developme...