Algorithmic or Heuristic Problem-Solving Method
This study explores the problem surrounding the learners of AGI architecture within reference to decision making capabilities for the real world operation. While the operation of the AGI architecture can be applicable within a real world environment, however, few applicable methodologies and theories support its functionalities. Due to the inherent time-constraint, a direct application to the decision-making theory is not applicable. This study presents the predictive heuristics theory to solve the problem.
Objective of this paper is to use the heuristic theoretical framework to solve the problem posed by the application of AGI system, which is inherent with the time constraints.
Heuristic Application to solve the AGI System Application
In the contemporary environment, human problems are in a large scale where the decision-making procedures are subject to time constraints. One of these problems is the application of AGI architecture where decision is time constraint. The resources and decision theoretical framework fail to address this type of stochastic nature, thus, the predictive heuristic is a viable solution to the decision-making problems posed by the AGI architecture. The heuristics are defined as strategies of using readily accessible, loosely applicable, and information...
Algorithm is a computable set of steps arranged thus in order to achieve a certain end. There are various algorithms used in bioinformatics and not all are necessarily deterministic. Some are in fact known as randomized algorithms that incorporate randomness. Classification of algorithms in Bioinformatics Classification by purpose Each algorithm has a goal. The Quick Sort algorithm for instance sorts data in ascending or descending order, but algorithms in bioinformatics are grouped by
Portfolio Management In the project portfolio management context, a portfolio is an aggregation of active programs, projects and other business activities that indicate an organization's priorities, investments and allocation of resource (The standard for portfolio management, 2008). According to the editors of PM Network, "Portfolio management is the centralized management of one or more of those portfolios to achieve specific strategic business objectives" (2008, p. 75). Using project portfolio management
Solving the 1D Bin Packing Problem Using a Parallel Genetic Algorithm: A Benchmark Test The past few decades have witnessed the introduction in a wide range of technological innovations that have had an enormous impact on consumers, businesses and governmental agencies. Computer-based applications in particular have been key in facilitating the delivery of a wide range of services and information, and computer processing speeds have consistently increased incrementally. Computer processing speeds,
Machine Learning Method in Bioinformatics Bioinformatics involves an integrated approach involving the use of information technology, computer science to biology and medicine as professional and knowledge fields. It encompasses the knowledge associated with information systems, artificial intelligence, databases, and algorithms, soft computing, software engineering, image processing, modeling and simulation, data mining, signal processing, computation theory and information, system an d control theory, discrete mathematics, statistics and circuit theory. On the other
solution of the heterogeneous data integration problem is presented with the explanation if the criteria to be employed in the approval of the validity. The tools to be used are also indicated. The proposed solution is to use semantic web technologies (Semantic Data Integration Middleware (SIM) Architecture) for the initial integration process (Cardoso,2007) and then couple it with broker architecture to improve integration and interoperability while solving the problem of
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