This book highlights new and innovative approaches to archaeological research using computational modeling while focusing on the Neolithic transition around the world. The transformative effect of the spread and adoption of agriculture in prehistory cannot be overstated. Consequently, archaeologists have often focused their research on this transition, hoping to understand both the ecological causes and impacts of this shift, as well as the social motivations and constraints involved. Given the complex interplay of socio-ecological factors, the answers to these types of questions cannot be found using traditional archaeological methods alone. Computational modeling techniques have emerged as an effective approach for better understanding prehistoric data sets and the linkages between social and ecological factors at play during periods of subsistence change. Such techniques include agent-based modeling, Bayesian modeling, GIS modeling of the prehistoric environment, and the modeling of small-scale agriculture. As more archaeological data sets aggregate regarding the transition to agriculture, researchers are often left with few ways to relate these sets to one another. Computational modeling techniques such as those described above represent a critical next step in providing archaeological analyses that are important for understanding human prehistory around the world. Given its scope, this book will appeal to the many interdisciplinary scientists and researchers whose work involves archaeology and computational social science. .

Uebergang zur Landwirtschaft - Prähistorie - Wirtschaftsgeschichte.

This book highlights new and innovative approaches to archaeological research using computational modeling while focusing on the Neolithic transition around the world. The transformative effect of the spread and adoption of agriculture in prehistory cannot be overstated. Consequently, archaeologists have often focused their research on this transition, hoping to understand both the ecological causes and impacts of this shift, as well as the social motivations and constraints involved. Given the complex interplay of socio-ecological factors, the answers to these types of questions cannot be found using traditional archaeological methods alone. Computational modeling techniques have emerged as an effective approach for better understanding prehistoric data sets and the linkages between social and ecological factors at play during periods of subsistence change. Such techniques include agent-based modeling, Bayesian modeling, GIS modeling of the prehistoric environment, and the modeling of small-scale agriculture. As more archaeological data sets aggregate regarding the transition to agriculture, researchers are often left with few ways to relate these sets to one another. Computational modeling techniques such as those described above represent a critical next step in providing archaeological analyses that are important for understanding human prehistory around the world. Given its scope, this book will appeal to the many interdisciplinary scientists and researchers whose work involves archaeology and computational social science. Chapter “The Spread of Agriculture: Quantitative Laws in Prehistory?” is available open access under a Creative Commons Attribution 4.0 International License via springer.com.

This book highlights new and innovative approaches to archaeological research using computational modeling while focusing on the Neolithic transition around the world. The transformative effect of the spread and adoption of agriculture in prehistory cannot be overstated. Consequently, archaeologists have often focused their research on this transition, hoping to understand both the ecological causes and impacts of this shift, as well as the social motivations and constraints involved. Given the complex interplay of socio-ecological factors, the answers to these types of questions cannot be found using traditional archaeological methods alone. Computational modeling techniques have emerged as an effective approach for better understanding prehistoric data sets and the linkages between social and ecological factors at play during periods of subsistence change. Such techniques include agent-based modeling, Bayesian modeling, GIS modeling of the prehistoric environment, and the modeling of small-scale agriculture. As more archaeological data sets aggregate regarding the transition to agriculture, researchers are often left with few ways to relate these sets to one another. Computational modeling techniques such as those described above represent a critical next step in providing archaeological analyses that are important for understanding human prehistory around the world. Given its scope, this book will appeal to the many interdisciplinary scientists and researchers whose work involves archaeology and computational social science. Chapter “The Spread of Agriculture: Quantitative Laws in Prehistory?” is available open access under a Creative Commons Attribution 4.0 International License via springer.com.

This book presents a unique selection of fully reviewed, extended papers originally presented at the Social Simulation Conference 2014 in Barcelona, Spain. Only papers on the simulation of historical processes have been selected, the aim being to present theories and methods of computer simulation that can be relevant to understanding the past. Applications range from the Paleolithic and the origins of social life up to the Roman Empire and Early Modern societies. Case studies from Europe, America, Africa and Asia have been selected for publication. The extensive introduction offers a thorough review of the computer simulation of social dynamics in past societies as a means of understanding human history. This book will be of great interest to researchers in the social sciences, archaeology, evolutionary anthropology, and social history.

A holistic and comprehensive account of the nature of the transition from hunting to farming in prehistory. It addresses for the first time the main bioarchaeological aspects such as changes in mobility, behaviour, diet and population dynamics. This book is of major interest to the relevant audience since it offers for the first time a global perspective on the bioarchaeology of the transition to agriculture. It includes contributions from world-class researchers, with a particular emphasis on advances in methods (e.g. ancient DNA of pathogens, stable isotope analysis, etc.). The book specifically addresses the following aspects associated with the transition to agriculture in various world regions: Changes in adult and subadult stature and subadult growth profiles Diachronic trends in the analysis of functional morphological structures (craniofacial, vault, lower limbs, etc.) and whether these are associated with change in overall sex-specific morphological variability Changes in mobility Changes in behaviour which can be reconstructed from the study of the skeletal record. These include changes in activity patterns, sexual dimorphism, evidence of inter-personal trauma, and the like. Population dynamics and microevolution by examining intra and inter population variations in dental and cranial metric traits, as well as archaeogenetic studies of ancient DNA (e.g. mtDNA markers).

During virtually the entire four-million-year history of our habitation on this planet, humans have been hunters and gatherers, dependent for nourishment on the availability of wild plants and animals. Beginning about 10,000 years ago, however, the most remarkable phenomenon in the course of human prehistory was set in motion. At locations around the world, over a period of about 5,000 years, hunters became farmers. Far more than the domestication of plant and animal species was involved in this revolution, which was accompanied by massive changes in the structure and organization of the societies that adopted agriculture and by a totally new relationship with the environment. Whereas hunter-gatherers live off the land in an extensive fashion, exploiting a diversity of resources over a broad area, farmers utilize the landscape intensively. The implications of these changes in human activity and social organization reverberate down to the present day.