Such a mechanism establishes a direct link between positional accuracy models (typically described via the deviation of true location from observed location) and uncertainty models (typically expressed as the probability of being true, e.g. the probability of enclosing the true utility location).
Volcanic ash transport and dispersal models typically describe particle motion via a turbulent velocity field.
Lifecycle models typically describe the activities carried out, their deliverables, the roles of the people involved, and how the process moves from one activity to the next.
Mechanism-based PK/PD models typically describe first-order physiological processes that require systems of ordinary differential equations.
These models typically describe the structure within a genome (e.g., the abundance distribution of protein domains within different domain classes [ 34]), whereas our model describes population structure.
These models typically describe sexual organisms with many biallelic loci segregating independently (free recombination), but can also apply to asexual organisms with a high mutation rate (hence many alleles at one 'locus'locus
These models typically describe a process by which sensory information about potential actions "accumulate" and potentially compete until a "threshold" is reached, at which point a response is selected (Beck et al., 2008; Bogacz, 2007; Cisek, 2007; Cisek, Puskas, & El-Murr, 2009; Gold & Shadlen, 2002; Krajbich, Armel, & Rangel, 2010; Ratcliff & McKoon, 2008; Usher & McClelland, 2001; Wang, 2008).
The cybernetic model is typically described by set of equations for reaction rates following Monod kinetics by assuming to vary directly with the relative enzyme concentration and to exhibit saturation dependence on all substrates.
The models are typically described using domain-specific languages and tools that are readily accessible to the domain experts.
These dynamics are typically described by models.
