This major study reflects the increasing significance of careful model formation and testing in those academic subjects that are struggling from intuitive and aesthetic obscurantism toward a more disciplined and integrated approach to their fields of study. The twenty-six original contributions represent the carefully selected work of progressive archaeologists around the world, covering the use of models on archaeological material of all kinds and from all periods from Palaeolithic to Medieval. Their common theme is archaeological generalisation by means of explicit model building, testing, modification and reapplication. The contributors seek to show that it is the use of certain models in particular ways that defines archaeology as the practice of one discipline, with a set of general tenets that are as applicable in Peru as in Persia, Australia as Alaska, Sweden as Scotland, on material from the second millennium B.C. to the second millennium A.D. They assert that careful model formulation within archaeology and the cautious exchange and testing of models within and beyond the discipline provides the only route to the formation of the common, internationally valid body of theory which defines a vigorous and coherent discipline and distinguishes it from being a collection of merely regionally applicable special cases.

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.

Archaeology has been historically reluctant to embrace the subject of agent-based simulation, since it was seen as being used to "re-enact" and "visualize" possible scenarios for a wider (generally non-scientific) audience, based on scarce and fuzzy data. Furthermore, modeling "in exact terms" and programming as a means for producing agent-based simulations were simply beyond the field of the social sciences. This situation has changed quite drastically with the advent of the internet age: Data, it seems, is now ubiquitous. Researchers have switched from simply collecting data to filtering, selecting and deriving insights in a cybernetic manner. Agent-based simulation is one of the tools used to glean information from highly complex excavation sites according to formalized models, capturing essential properties in a highly abstract and yet spatial manner. As such, the goal of this book is to present an overview of techniques used and work conducted in that field, drawing on the experience of practitioners.

Although archaeologists are using GIS technology at an accelerating rate, publication of their work has not kept pace. A state-of-the-art exploration the subject, GIS and Archaeological Site Location Modeling pulls together discussions of theory and methodology, scale, data, quantitative methods, and cultural resource management and uses loc

How should archaeologists and other social scientists tackle the big and little questions about change in socionatural systems? Although fieldwork is certainly the place to start, it alone is not enough to answer troublesome "how" or "why" questions. To make sense of what they find in the field, archaeologists build models-possible explanations for the data. This book is about new developments in applying dynamic models for understanding relatively small-scale human systems and the environments they inhabit and alter. Beginning with a complex systems approach, the authors develop a "model-based archaeology" that uses specific, generally quantitative models providing partial descriptions of socionatural systems of interest that are then examined against those systems. Taken together, the chapters in this volume constitute an argument for a new way of thinking about how archaeology is (and should be) conducted.

The use of computation in archaeology is a kind of magic, a way of heightening the archaeological imagination. Agent-based modelling allows archaeologists to test the ‘just-so’ stories they tell about the past. It requires a formalization of the story so that it can be represented as a simulation; researchers are then able to explore the unintended consequences or emergent outcomes of stories about the past. Agent-based models are one end of a spectrum that, at the opposite side, ends with video games. This volume explores this spectrum in the context of Roman archaeology, addressing the strengths, weaknesses, and opportunities of a formalized approach to computation and archaeogaming.