The problem representation it accepts is in first-order logic which is fully declarative.
In addition, I study issues in problem representation, including the robustness of encodings, abstraction, compilation, and approximation methods.
In other settings, case libraries have been shown to support problem solving competencies, such as argumentation and problem representation.
Based on the selected problem representation, we derive an algorithm that dynamically schedules real-time tasks on the processors of the distributed architecture.
The proposed MILP approximate problem representation is able to handle sequence-dependent changeovers, delivery due dates and limited manufacturing resources other than equipment units.
Therefore, this work focuses on providing a framework based on a semantic model that captures the diversity in scheduling problem representation.
The findings show that students who received integration prompts outperformed those who did not receive any in knowledge acquisition and problem representation for solving an ill-structured problem.
Clustering techniques and a Dead-End-Elimination algorithm are combined with a SAT problem representation of the CPD problem in order to design the amino acid sequences.
Moreover, in order to perform the classification task with reduced complexity and acceptable performance, usually features that are irrelevant, redundant, or noisy are excluded from the problem representation.
In this paper, we consider a scalable distributed-memory architecture for which we propose a problem representation that assigns real-time tasks on the processing units of the architecture to maximize deadline compliance rate.
