The goal of this paper is to determine if the results for dynamic job-shop scheduling problems are affected by the assumptions made with regard to the processing time distributions and the scheduler's knowledge of the processing times. Three dynamic jobshop…

The goal of the Programmer's Apprentice project is to develop a theory of how expert programmers analyze, synthesize, modify, explain, specify, verify, and document programs. This research goal overlaps both artificial intelligence and software engineering. From the viewpoint of artificial…

The typical subroutines that compute $\\sin(x)$ and $\\exp(x)$ bear little resemblance to our mathematical knowledge of these functions: they are composed of concrete arithmetic expressions that include many mysterious numerical constants. Instead of programming these subroutines conventionally, we can express…

Building off the work of Mark Granovetter and Nancy Howell Lee, this thesis observes the employment search networks of Princeton University seniors. I interviewed thirty-five students who were actively or had recently completed searches for employment and constructed visual representations…

Designed to provide an introductory grounding in Typography, The Complete Typographer teaches the essentials for the effective use of type - technical expertise and historical knowledge, an understanding of the functional and aesthetic qualities of different typefaces, and the organization…

Building on the strength of the first edition, Quantitative Methods for Business and Economics provides a simple introduction to the mathematical and statistical techniques needed in business. This book is accessible and easy to use, with the emphasis clearly on…

Empirical knowledge is lacking on reclined seating postures. To unify such data, a biomechanical model is needed that accurately predicts posture, the relative position of the pelvis, the point of load transfer to the seat, internal and external forces, and…

When training hidden-Markov-model-based part-of-speech (PoS) taggers involved in machine translation systems in an unsupervised manner the use of target-language information has proven to give better results than the standard Baum-Welch algorithm. The target-language-driven training algorithm proceeds by translating every possible…

The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learning phase. We argue that…

The past twenty years has seen growing academic and policy interest in the role of SMEs within a global context. There has been much debate surrounding the negative impact of globalisation on the international SME arising from increased competitive pressures.…