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

Rodgers, Waymond

Abstract

This book describes the Throughput Model methodology that can enable individuals and organizations to better identify, understand, and use algorithms to solve daily problems. The Throughput Model is a progressive model intended to advance the artificial intelligence (AI) field since it represents symbol manipulation in six algorithmic pathways that are theorized to mimic the essential pillars of human cognition, namely, perception, information, judgment, and decision choice. The six AI algorithmic pathways are (1) Expedient Algorithmic Pathway, (2) Ruling Algorithmic Guide Pathway, (3) Analytical Algorithmic Pathway, (4) Revisionist Algorithmic Pathway, (5) Value Driven Algorithmic Pathway, and (6) Global Perspective Algorithmic Pathway.

As AI is increasingly employed for applications where decisions require explanations, the Throughput Model offers business professionals the means to look under the hood of AI and comprehend how those decisions are attained by organizations.

Citation

Rodgers, W. (2022). Dominant Algorithms to Evaluate Artificial Intelligence: From the View of Throughput Model. Bielefeld: Bentham Science Publishers. https://doi.org/10.2174/97898150495411220101

• Book Type: Authored Book
• Acceptance Date: Jun 1, 2022
• Online Publication Date: Jul 1, 2022
• Publication Date: Jul 18, 2022
• Deposit Date: Sep 21, 2022
• Publisher: Bentham Science Publishers
• ISBN: 9789815049541
• DOI: https://doi.org/10.2174/97898150495411220101
• Public URL: https://hull-repository.worktribe.com/output/4082290