A new domain, increase in domain complexity, and dealing with modeling multiple agents and multiple behaviors for each agent seem to have been the primary contributors.
Here we review some of the earlier work as well as more recent studies on the control of human movement, focusing on behavioral and modeling studies dealing with task space and joint-space movement planning.
One missing element in these efforts, and other modeling efforts dealing with complex biologic processes, is a framework with which to capture the necessarily increasing scope and detail that such quantitative models will achieve as they progress.
The present methodology seamlessly integrates different modeling components dealing with stationary rigid boundaries of complex shape, moving rigid bodies, and highly deformable interfaces governed by nonlinear elasticity.
Further modeling papers dealing with shelf-space problems that do not include any of these considerations or that are not related to our decision problem are not the focus and not further analyzed.
A solar thermal cooling and heating system at Carnegie Mellon University was studied through its design, installation, modeling, and evaluation to deal with the question of how solar energy might most effectively be used in supplying energy for the operation of a building.
To illustrate the two direct modeling approaches for dealing with the measurement error inherent in cognitive test scores the MESE model and the use of PVs we begin with an example that uses data from the NALS.
Multiple criteria decision making (MCDM) is a modeling tool for dealing with such complex engineering problems.
Numerous clinical, experimental, and modeling studies have dealt with diagnosis of ear conditions, the design of implantable prostheses and hearing devices, and evaluation of devices or surgical treatment.
The first step in the modeling process deals with the selection of an accurate set of image metrics that are used as the input data of the model.
