Modeling The Past

How do researchers use dynamic network analysis (DYRA) to explore, model, and try to understand the complex global history of our species? Reduced to bare bones, network analysis is a way of understanding the world around us — a way called relational thinking — that is liberating but challenging. Using this handbook, researchers learn to develop historical and archaeological research questions anchored in DYRA. Undergraduate and graduate students, as well as professional historians and archaeologists can consult on issues that range from hypothesis-driven research to critiquing dominant historical narratives, especially those that have tended to ignore the diversity of the archaeological record.

To fully understand not only the past, but also the trajectories, of human societies, we need a more dynamic view of human social systems. Agent-based modeling (ABM), which can create fine-scale models of behavior over time and space, may reveal important, general patterns of human activity. Agent-Based Modeling for Archaeology is the first ABM textbook designed for researchers studying the human past. Appropriate for scholars from archaeology, the digital humanities, and other social sciences, this book offers novices and more experienced ABM researchers a modular approach to learning ABM and using it effectively. Readers will find the necessary background, discussion of modeling techniques and traps, references, and algorithms to use ABM in their own work. They will also find engaging examples of how other scholars have applied ABM, ranging from the study of the intercontinental migration pathways of early hominins, to the weather–crop–population cycles of the American Southwest, to the trade networks of Ancient Rome. This textbook provides the foundations needed to simulate the complexity of past human societies, offering researchers a richer understanding of the past—and likely future—of our species.

Post-socialist development in Bulgaria has led to fundamental changes in social life and political relations and threatened village identity. This study underlinessome of the fundamental processes at work across eastern Europe that explain the widespread ambiguity in regard to post-socialist reform.

This book contains the most comprehensive question bank and model answers for ZIMSEC A-Level exam questions. It also includes syllabus review notes and exercises. Examiners provide observations and tips and point out common errors that students make when answering questions. If you use this book faithfully, you can't fail, and the Grade "A" is very much within your reach.

This book contains the most comprehensive question bank and model answers for ZIMSEC A-Level History exam questions. It also includes syllabus review notes and exercises. History subject Examiners provide observations and tips and point out common errors that students make when answering questions. If you use this book faithfully, it will be almost impossible for you to fail. Use this book and earn yourself a Grade "A" in History.

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This book offers the ultimate collection of questions and model answers for ZIMSEC A-Level exams. Inside, you'll find detailed syllabus review notes, practice exercises, and invaluable insights from examiners, including tips and common mistakes to avoid. With dedicated use of this resource, success is assured, making a Grade "A" highly attainable.

One of the more interesting developments in the field of archaeology in the recent past is the emergence of predictive modeling as an integral component of the discipline. Within any developing and expanding field, one may expect some initial controversy that will, presumably, diminish as the techniques are tested, refined, and finally accepted. We are still very much in the initial stages of learning how to go about using predictive modeling in archaeology, and this book represents an effort by some of the leading experts in the field to present a comprehensive and detailed examination of this approach to understanding how people in the past used the landscape in which they lived.