Sentence examples for computational decisions from inspiring English sources

Transect-based hydraulic geometry is well established but depends on a complex set of subjective fieldwork and computational decisions that sometimes go unexplained.

We present a computational decision support framework for treating preferences related to physical design features.

However, complex design tasks represent challenges for human cognition, and as such computational decision support systems emerge as a relevant topic.

The class NP (for Non-deterministic Polynomial) is the class that contains all those computational decision problems whose proposed solution ("guessed" by the non-deterministic Turing machine) can be verified by a deterministic Turing machine at polynomial cost.

The class \(\mathbf{P}\) (for Polynomial) is the class that contains all the computational decision problems that can be solved by a deterministic Turing machine at a polynomial cost.

Research in this paper adopts computational decision support methods from financial engineering that allows SoS practitioners the means to identify optimal 'portfolios' of systems based on dimensions of capability, cost and operational risk.

The framework facilitates computational decision support for meeting building performance goals, allows autonomy of specialized design tasks with timely and efficient use of analysis tools, and preserves dependencies between possibly competing building performance goals.

An expert system is a computer program that helps in solving problems demanding substantial human expertness by using explicitly exhibited domain knowledge and computational decision procedures.

Rule-based methods such as CART and C4.5 provide completely transparent computational decision making systems while still utilizing some nonlinear capabilities.

Computational offloading decisions consider total execution time, resource consumption, energy requirements, and privacy issues of an application before migrating a task to resource-rich cloud servers [28].

In MAS, autonomous computational agents make decisions based on goals within an environment, and they communicate information about their goal achievement to other independent agents [29, 30, 31].