The Georgia Institute of Technology has been a catalyst for economic growth in the Southeast United States since its founding in 1885. Over the past 30 years, it has become known as one of the top technological universities in the world. As part of a strategic planning effort in mid2009, it sought to strengthen its thought leadership and impact through the implementation of a global innovation ...

Deep Thought is a logic tutor where students practice constructing deductive logic proofs. Within Deep Thought is a data-driven mastery learning system (DDML), which calculates student proficiency based on rule scores weighted by expert-decided weights in order to assign problem sets of appropriate difficulty. In this study, we designed and tested a data-driven proficiency profiler (DDPP) metho...

We describe the “Deep Thought” algorithm, which can, among other things, take a commutator presentation for a finitely generated torsion-free nilpotent group G, and produce explicit polynomials for the multiplication of elements of G. These polynomials were first shown to exist by Philip Hall, and allow for “symbolic collection” in finitely generated nilpotent groups. We discuss various practic...

We propose a novel extension of the encoder-decoder framework, called a review network. The review network is generic and can enhance any existing encoderdecoder model: in this paper, we consider RNN decoders with both CNN and RNN encoders. The review network performs a number of review steps with attention mechanism on the encoder hidden states, and outputs a thought vector after each review s...

When developing an intelligent tutoring system, it is necessary to have a significant number of highly varied problems that adapt to a student’s individual learning style. In developing an intelligent tutor for logic proof construction, selecting problems for individual students that effectively aid their progress can be difficult, since logic proofs require knowledge of a number of concepts an...

Editor’s note: This editorial launches a series written by editors and co-authored with a senior executive, thought leader, or scholar from a different field to explore new content areas and grand challenges with the goal of expanding the scope, interestingness, and relevance of the work presented in the Academy of Management Journal. The principle is to use the editorial notes as “stage setter...

Futurists agree that interposable symmetries are an interesting new topic in the field of theory, and information theorists concur. After years of extensive research into the transistor, we disconfirm the construction of IPv7, which embodies the extensive principles of evoting technology. Here we confirm not only that digital-to-analog converters and digital-toanalog converters are generally in...

To survive in a world where knowledge is limited, time is pressing, and deep thought is often an unattainable luxury, decision-makers must use bounded rationality. In this precis of Simple heuristics that make us smart, we explore fast and frugal heuristics—simple rules for making decisions with realistic mental resources. These heuristics enable smart choices to be made quickly and with a mini...

*TOM MCMULLEN is a Vice President and North American Reward Practice Leader for Hay Group, accountable for client project delivery, reward capability development and thought leadership. MEL STARK is a Vice President with Hay Group. He is a Regional Reward Practice in the firm's Metro New York Office and manages the firm's relationship with Fortune Magazine. He is focused on adding clarity to cl...