The creative cognition approach views creativity as the generation of novel and appropriate products through the application of basic cognitive processes to existing knowledge structures. It relies on converging evidence from anecdotal accounts of creativity and tightly controlled laboratory studies designed to examine the processes that are assumed to operate in those anecdotes. Specific examp...

It is inadequate to just assure the functional requirements. Quality of service (QoS) must also be satisfied. An important challenge for developing efficient Service Oriented Architecture (SOA) is to maintain the QoS attributes because of compositional and dynamical environment of SOA. It is significant to scrutinize how quality attributes are supported by SOA. However, implementation of SOA pr...

Color is commonly described in terms of the three perceptual attributes-hue, saturation, and brightness-of which only hue has a qualitative nature, saturation and brightness being of a quantitative nature. A possible reason for such a phenomenological structure of the color manifold, and its geometric representation, are discussed.

Actions can create preferences, increasing the value ascribed to commodities acquired at greater cost. This behavioural finding has been observed in a variety of species; however, the causal factors underlying the phenomenon are relatively unknown. We sought to develop a behavioural platform to examine the relationship between effort and reinforcer value in mice trained under demanding or lenie...

Simulation has been proposed and utilised widely in the field of the evaluation of information retrieval (IR) and interactive IR (IIR) systems. It can significantly reduce costs, make experiments easier to reproduce and save time to users and researchers. The question of how realistic these simulations are remains, to a great extent, unexplored. This is due to the fact that searching for inform...

In this paper, we describe the Adaptive Place Advisor, a user adaptive, conversational recommendation system designed to help users decide on a destination, specifically a restaurant. We view the selection of destinations as an interactive, conversational process, with the advisory system inquiring about desired item characteristics and the human responding. The user model, which contains prefe...

We introduce an interactive visualization system CViz for rule induction The process of learning classi cation rules is visualized which consists of ve components preparing and visualizing the original data cleaning the original data discretizing numerical attributes learn ing classi cation rules and visualizing the discovered rules The CViz system is presented and each component is discussed T...

Generalized additive independent (GAI) preference models are, in many situations, more interesting than additive models, as GAI models allow interdependencies between attributes. However, they are more difficult to construct (elicit), not only because the number of questions needed to be asked increases, but also because we must know what the interdependencies are, i.e. the structure of the mod...

Publishing data about individuals, in a privacy-preserving way, has led to a large body of research. Meanwhile, algorithms for anonymizing datasets, with relational or transaction attributes, that preserve data truthfulness, have attracted significant interest from organizations. However, selecting the most appropriate algorithm is still far from trivial, and tools that assist data publishers i...

Integrating neuroscientific data across labs is a challenging endeavour, and extracting meaning from this data is even harder still. NeuroElectro.org collects electrophysiology, neuron type, and experimental conditions data from published articles and provides all of this data in text format for analysis. Here, we present NeuroElectro Data’s Visualization (NED Vis), an interactive visual interf...