Perspectives on Artificial Intelligence

Artificial Intelligence Perspectives on Granular Computing

The theory of rough sets, proposed by Pawlak (1982, 1991, 1998; Pawlak and Skowron, 2007a, 2007b), offers systematic approaches for analyzing information tables in terms of indiscernibility, granulation and approximations. It has led to many useful and effective approaches for data analysis and machine learning. The notions of indiscernability and definability can be defined by a decision logic...

Perspectives on Research in Artificial Intelligence and Artificial General Intelligence Relevant to DoD

Differing Methodological Perspectives in Artificial Intelligence Research

A variety of proposals for preferred methodological approaches has been advanced in the recent artificial intelligence (AI) literature Rather than advocating a particular approach, this article attempts to explain the apparent confusion of efforts in the field in terms of differences among underlying methodological perspectives held by practicing researchers The article presents a review of suc...

Artificial Intelligence for Artificial Artificial Intelligence

Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...

Perspectives on Business Intelligence

In the 1980s, traditional Business Intelligence (BI) systems focused on the delivery of reports that describe the state of business activities in the past, such as for questions like “How did our sales perform during the last quarter?” A decade later, there was a shift to more interactive content that presented how the business was performing at the present time, answering questions like “How a...