Agent Based Modeling And Simulation In Archaeology PDF Download
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| Author | : Gabriel Wurzer |
| Publisher | : Springer |
| Total Pages | : 276 |
| Release | : 2014-11-08 |
| Genre | : Science |
| ISBN | : 331900008X |
Download Agent-based Modeling and Simulation in Archaeology Book in PDF, ePub and Kindle
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.
| Author | : Iza Romanowska |
| Publisher | : SFI Press |
| Total Pages | : 442 |
| Release | : 2021-08-02 |
| Genre | : Social Science |
| ISBN | : 1947864386 |
Download Agent-Based Modeling for Archaeology Book in PDF, ePub and Kindle
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.
| Author | : Stefani Crabtree |
| Publisher | : Santa Fe Institute Press |
| Total Pages | : |
| Release | : 2020-07 |
| Genre | : |
| ISBN | : 9781947864252 |
Download Agent-Based Modeling for Archaeologists Book in PDF, ePub and Kindle
| Author | : Juan A. Barceló |
| Publisher | : Springer |
| Total Pages | : 404 |
| Release | : 2016-10-20 |
| Genre | : Computers |
| ISBN | : 3319314815 |
Download Simulating Prehistoric and Ancient Worlds Book in PDF, ePub and Kindle
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.
| Author | : James D. A. Millington |
| Publisher | : MDPI |
| Total Pages | : 327 |
| Release | : 2018-09-27 |
| Genre | : Electronic book |
| ISBN | : 3038422800 |
Download Agent-Based Modelling and Landscape Change Book in PDF, ePub and Kindle
This book is a printed edition of the Special Issue "Agent-Based Modelling and Landscape Change" that was published in Land
| Author | : S. Taylor |
| Publisher | : Springer |
| Total Pages | : 223 |
| Release | : 2014-08-27 |
| Genre | : Business & Economics |
| ISBN | : 1137453648 |
Download Agent-based Modeling and Simulation Book in PDF, ePub and Kindle
Operational Research (OR) deals with the use of advanced analytical methods to support better decision-making. It is multidisciplinary with strong links to management science, decision science, computer science and many application areas such as engineering, manufacturing, commerce and healthcare. In the study of emergent behaviour in complex adaptive systems, Agent-based Modelling & Simulation (ABMS) is being used in many different domains such as healthcare, energy, evacuation, commerce, manufacturing and defense. This collection of articles presents a convenient introduction to ABMS with papers ranging from contemporary views to representative case studies. The OR Essentials series presents a unique cross-section of high quality research work fundamental to understanding contemporary issues and research across a range of Operational Research (OR) topics. It brings together some of the best research papers from the esteemed Operational Research Society and its associated journals, also published by Palgrave Macmillan.
| Author | : Timothy A. Kohler |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 413 |
| Release | : 2000 |
| Genre | : Computers |
| ISBN | : 0195131681 |
Download Dynamics in Human and Primate Societies Book in PDF, ePub and Kindle
With an emphasis on small-scale societies in an effort to maximize realism in the modeling efforts applied to social evolution, this volume is an important step toward an actor-oriented, cross-disciplinary approach to understanding human behavior over time.".
| Author | : Andrew Crooks |
| Publisher | : SAGE Publications Limited |
| Total Pages | : 0 |
| Release | : 2019-01-16 |
| Genre | : Social Science |
| ISBN | : 9781473958654 |
Download Agent-Based Modelling and Geographical Information Systems Book in PDF, ePub and Kindle
This is the era of Big Data and computational social science. It is an era that requires tools which can do more than visualise data but also model the complex relation between data and human action, and interaction. Agent-Based Models (ABM) - computational models which simulate human action and interaction – do just that. This textbook explains how to design and build ABM and how to link the models to Geographical Information Systems. It guides you from the basics through to constructing more complex models which work with data and human behaviour in a spatial context. All of the fundamental concepts are explained and related to practical examples to facilitate learning (with models developed in NetLogo with all code examples available on the accompanying website). You will be able to use these models to develop your own applications and link, where appropriate, to Geographical Information Systems. All of the key ideas and methods are explained in detail: geographical modelling; an introduction to ABM; the fundamentals of Geographical Information Science; why ABM and GIS; using QGIS; designing and building an ABM; calibration and validation; modelling human behavior. An applied primer, that provides fundamental knowledge and practical skills, it will provide you with the skills to build and run your own models, and to begin your own research projects.
| Author | : Shu-Heng Chen |
| Publisher | : Oxford University Press |
| Total Pages | : 784 |
| Release | : 2018-01-12 |
| Genre | : Business & Economics |
| ISBN | : 0190877502 |
Download The Oxford Handbook of Computational Economics and Finance Book in PDF, ePub and Kindle
The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.
| Author | : Uri Wilensky |
| Publisher | : MIT Press |
| Total Pages | : 505 |
| Release | : 2015-04-03 |
| Genre | : Computers |
| ISBN | : 0262731894 |
Download An Introduction to Agent-Based Modeling Book in PDF, ePub and Kindle
A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach—with hundreds of examples and exercises using NetLogo—enables readers to begin constructing models immediately, regardless of experience or discipline. The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.
