Dominant Algorithms to Evaluate Artificial Intelligence: From the view of Throughput Model

Author(s): Waymond Rodgers

DOI: 10.2174/9789815049541122010005

Six Dominant Decision-making Algorithms

Pp: 69-95 (27)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

Algorithms have been implemented to benefit decision-making for hundreds of years and pre-date computers. While algorithms are hardly a contemporary invention, they are nonetheless progressively intricate in systems implemented to support decisionmaking. Algorithmic decision-making is the processing of input data or perceptual processing to influence a judgment or decision choice. Further, algorithms are utilized to support decisions such as prioritization, classification, association, and filtering. This chapter illustrates a broad introduction to six fundamental algorithms for decision making. These algorithms in total make up the Throughput Model. Each algorithm is clearly presented and can comprehensively assist individuals and organizations in considering a wide range of issues. 

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