This article based on new archival documents introduces a new episode of mass operations, which took place in June and July of 1927 and was directed against the broad group of “anti-Soviet” forces. It preceded many practices of mass terror of the 1930s with judicial and extra-legal mechanisms. The goal of this article is to explain motivations, justifications, and mechanisms of this repressive campaign and to put this episode in the wider context of Soviet terror. Facing the combination of a perceived danger of war and real internal social hostility expressed in broad defeatism, both threatening the perpetuation of their governmental powers, authorities resorted to repressions. The 1927 episode highlights the factor of a perceived threat of war as a crucial motivating element in Soviet repressive tactics.

Article on the presence and absence of the past and the sites of memory and forgetting in F. C. Delius' "Die Flatterzunge."

Article discussing the form of Daniel Defoe's 'Colonel Jack.'

Twelve papers and four panel discussions are included. A separate abstract was prepared for each paper. The panel discussions were on: technical and physical policy elements affecting world oil supply and demand; financial, tax, and tariff issues in world oil supply and demand; the world economy as influenced by world oil prices and availability; the use of models and analysis in the policy process. (DLC)

Welcome to the Proceedings of the fourth in a series of agent simulation conferences cosponsored by Argonne National Laboratory and The University of Chicago. Agent 2003 is the second conference in which three Special Interest Groups from the North American Association for Computational Social and Organizational Science (NAACSOS) have been involved in planning the program--Computational Social Theory; Simulation Applications; and Methods, Toolkits and Techniques. The theme of Agent 2003, Challenges in Social Simulation, is especially relevant, as there seems to be no shortage of such challenges. Agent simulation has been applied with increasing frequency to social domains for several decades, and its promise is clear and increasingly visible. Like any nascent scientific methodology, however, it faces a number of problems or issues that must be addressed in order to progress. These challenges include: (1) Validating models relative to the social settings they are designed to represent; (2) Developing agents and interactions simple enough to understand but sufficiently complex to do justice to the social processes of interest; (3) Bridging the gap between empirically spare artificial societies and naturally occurring social phenomena; (4) Building multi-level models that span processes across domains; (5) Promoting a dialog among theoretical, qualitative, and empirical social …