Lessons from the Past and Future Directions for Corporate Real Estate Research

This study seeks to answer several questions about corporate real estate research. The first, Where should corporate real estate research be focused in the future? is addressed by a proposed alternative corporate real estate research framework that differs from what has been followed in the past. A second question that follows from the first is then addressed: Given such an alternative research framework, what types of corporate real estate issues merit research consideration? Finally, a third closely related question is then examined: Which research methodologies, databases and statistical tools are likely to prove useful to academic researchers seeking promotion and tenure, as well as corporate executives and others interested in better understanding the impacts of corporate real estate decisions?

A New Rational Algorithm for View Updating in Relational Databases

The dynamics of belief and knowledge is one of the major components of any autonomous system that should be able to incorporate new pieces of information. In order to apply the rationality result of belief dynamics theory to various practical problems, it should be generalized in two respects: first it should allow a certain part of belief to be declared as immutable; and second, the belief state need not be deductively closed. Such a generalization of belief dynamics, referred to as base dynamics, is presented in this paper, along with the concept of a generalized revision algorithm for knowledge bases (Horn or Horn logic with stratified negation). We show that knowledge base dynamics has an interesting connection with kernel change via hitting set and abduction. In this paper, we show how techniques from disjunctive logic programming can be used for efficient (deductive) database updates. The key idea is to transform the given database together with the update request into a disjunctive (datalog) logic program and apply disjunctive techniques (such as minimal model reasoning) to solve the original update problem. The approach extends and integrates standard techniques for efficient query answering and integrity checking. The generation of a hitting set is carried out through a hyper tableaux calculus and magic set that is focused on the goal of minimality.Comment: arXiv admin note: substantial text overlap with arXiv:1301.515