Initial experiments with a compact representation of a limited number of musical dimensions will be followed by a more flexible representation incorporating all the multidimensionality, complexity, and intricacies of a complete musical work.
As Pinker (1990) pointed out more representational format was needed to link with the memory representations incorporating knowledge of what the visual marks of the graph conveyed.
The only requirement is that the new representations incorporate the qualitative behavior of the process, and that they can be used in the control system design.
The representations incorporate elements culled from existing information-seeking behavior and information literacy instruction research, as well as evidence gathered from a study of third grade elementary school students, as they worked to fulfill a class project's requirements.
It is likely that these representations incorporate spatial insights that will result in new and fecund directions for ecological modeling to take.
In all cases, the results of simulations are compared with the spread simulated on the DYN representation, i.e., the representation that incorporates the most detailed information on the precise timing and duration of contacts.
A dual representation model of intrusive memory proposes that personally experienced events give rise to two types of representation: an image-based, egocentric representation based on sensory-perceptual features; and a more abstract, allocentric representation that incorporates spatiotemporal context.
The result of these combined efforts is a multimedia representation that incorporates music through the lens of history.
The AICc is an information-theory based measure of parsimonious data representation that incorporates the goodness of the fit (SSR) as well as the complexity of the model (k) and is used to rank the candidate models, thereby giving an objective measure for model selection and discrimination.
Sketch out at least one possible visual representation that incorporates all the things you know.
This approach expands an existing signaling network to a richer representation that incorporates the positive or negative nature of interactions and the synergistic behaviors among multiple components.
