Sentence examples for problem-solving systems from inspiring English sources
Genetic algorithms, evolution strategies and genetic programming belong to the class of probabilistic search procedures known as evolutionary algorithms that use computational models of natural evolutionary processes to develop computer-based problem-solving systems.
In spite of the increase in complexity that additional cell populations will bring to the GDP model, at its heart, GDP bears one of the hallmarks that we have come to expect of biological problem-solving systems – it is remarkably simple.
Evolutionary algorithms are computer-based problem-solving systems based on principles of evolutionary theory.
Dr. Dornhaus's own agile work on social insects has attracted the attention of computer scientists and engineers because "they need such algorithms to design artificially distributed problem-solving systems".
Previous computer-assisted problem-solving systems have incorporated all the problem-solving steps within a single stage, making it difficult to diagnose stages at which errors occurred when a student encounters difficulties, and imposing a too-high cognitive load on students in their problem solving.
Living systems are problem-solving systems.
It needs a massive overhaul, one that's wisely planned and executed without the pressure making decisions under a crisis-by-crisis problem-solving system.
If the goal, for example, is to create a dialogue-based problem-solving system for circuit fault diagnosis, emergency response, medical contingencies, or vacation planning, then an approach based on logical (or at least symbolic) representations of the dialogue, underlying intentions, and relevant constraints and knowledge is at present the only viable option.
They still sometimes have trouble combining their cognitive skills into a larger problem-solving system.
In a study conducted in 2011, Arjun Singh was able to demonstrate the positive effect of the "patient-oriented problem-solving system" (POPS a form of problem-based learning) on knowledge retention in his students [ 16].
Finally, we discuss extensions to other types of machine learning and problem solving systems.
