Sentence examples for model decision making from inspiring English sources

The question of sustainability is considered using such a traditional Cost-Benefit Analysis approach, as undertaken in 1988 by a CIPM-Yangtze Joint Venture, and the Mauri Model Decision Making Framework (MMDMF).

SAP StreamWork is an attempt to model decision making processes in a social way that provides an audit trail.

To model decision making processes, an often used approach is the BDI-model (Rao and Georgeff 1991), which explains the reasoning process people undertake to get to certain actions in terms of B eliefs), D esires), and I ntentions).

This majority function task is similar to the visual motion task used in studies of perceptual decision making (e.g., [17]), but here we examine and model decision making on a system level by considering the algorithms potentially adopted by the brain to process discrete information.

According to this model, decision making in vmPFC is determined by the trade-off between cognitive control and affective processing.

In this case, when a user digitizes a feature from a photogrammetric model, decision making process about the method of editing, structuring, layering, and storing of the feature in GIS database, can be carried out by such an interface system.

In this way they have modeled decision making under the influence of cognition, combining the above two approaches.

Over time or trials, the response model has the form of a state-space model (e.g., [9]), with two components: (i) an evolution function that models perception and learning through surprise minimization and (ii) an observation function that models decision making through risk minimization.

However, a theoretical framework that is able to model decision-making within complex systems, as well as research methods to empirically identify them, is needed to help the field of STEM education meet these goals.

Over the past decades, new approaches based on artificial neural networks have been developed aiming to solve real life problems related to optimization, modeling, decision-making, classification, data mining, and nonlinear functions (behavior) approximation.

We construct an agent-based model of decision making systems consisting of human subjects such as producers, consumers, dismantlers and used-unit dealers.