Here we use discrete-choice theory to construct a fitness-landscape function for a bi-axial decision-making map that plots the magnitude of social influence in the learning process against the costs and payoffs of decisions.
Evolution is often envisaged by constructing a fitness landscape, a multidimensional surface defined by fitness as a function of genotype (or phenotype), where a single "step" on the surface is equivalent to a one locus mutation of the genotype [14].
Our approach was to construct a smooth fitness landscape over nutrient space, centred on a 'target' intake at which no fitness cost is incurred, and this leads to a natural classification of the simple possible fitness landscapes based on Taylor series approximations of landscape shape.
Earlier this year, when it came time to construct a new fitness center, grill and card room in the clubhouse there, one member donated the wallboard and other members installed it.
The models should be able to predict genomic transcriptional profiles under several external conditions in order to construct a transcriptomic fitness function.
As the main goal of the research is to improve audio retrieval performance by the means of feature synthesis, an intuitive approach for constructing a proper fitness function for the task would involve computing either the average retrieval precision (AP) or the ANMMR values.
This can be seen if we represent s as a function of the initial stability and change in stability (Wylie and Shakhnovich 2011) (5) To remove these sources of epistasis, we construct a model where the fitness contribution of every amino acid at each location is fixed.
For those discrete designs that occur frequently, an evolving database of continuous variable values is used to construct a spline approximation to the fitness as a function of the single continuous variable.
Rather than constructing an explicit fitness model, which is currently impossible for most organisms, we developed a general algorithm to infer fitness from the shape of reconstructed genealogical trees without using any molecular information.
They then constructed an experimental fitness function to measure technical debt by combining relevant metrics with influence from the QMOOD suite, as well as the SOLID principles of object-oriented design.
