Agent Based Modeling And Simulation In Archaeology
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Agent Based Modeling And Simulation In Archaeology
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Author : Gabriel Wurzer
language : en
Publisher: Springer
Release Date : 2014-11-08
Agent Based Modeling And Simulation In Archaeology written by Gabriel Wurzer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-08 with Science categories.
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.
Agent Based Modeling For Archaeology
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Author : Iza Romanowska
language : en
Publisher: SFI Press
Release Date : 2021-08-02
Agent Based Modeling For Archaeology written by Iza Romanowska and has been published by SFI Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-02 with Social Science categories.
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.
Agent Based Modeling For Archaeologists
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Author : Stefani Crabtree
language : en
Publisher: Santa Fe Institute Press
Release Date : 2020-07
Agent Based Modeling For Archaeologists written by Stefani Crabtree and has been published by Santa Fe Institute Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07 with categories.
Simulating Prehistoric And Ancient Worlds
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Author : Juan A. Barceló
language : en
Publisher: Springer
Release Date : 2016-10-20
Simulating Prehistoric And Ancient Worlds written by Juan A. Barceló and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-20 with Computers categories.
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.
Agent Based Modelling And Geographical Information Systems
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Author : Andrew Crooks
language : en
Publisher: SAGE
Release Date : 2018-12-13
Agent Based Modelling And Geographical Information Systems written by Andrew Crooks and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-13 with Reference categories.
This textbook explains how to design and build Agent Based Models and how to link them to Geographical Information Systems.
Agent Based Models
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Author : Nigel Gilbert
language : en
Publisher: SAGE
Release Date : 2008
Agent Based Models written by Nigel Gilbert and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
Aimed at readers with minimal experience in computer programming, this brief book provides a theoretical and methodological rationale for using ABM in the social sciences. It goes on to describe some carefully chosen examples from different disciplines, illustrating different approaches to ABM. It concludes with practical advice about how to design and create ABM, a discussion of validation procedures, and some guidelines about publishing articles based on ABM.
Agent Based Modelling And Landscape Change
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Author : James D. A. Millington
language : en
Publisher: MDPI
Release Date : 2018-09-27
Agent Based Modelling And Landscape Change written by James D. A. Millington and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Electronic book categories.
This book is a printed edition of the Special Issue "Agent-Based Modelling and Landscape Change" that was published in Land
Integrating Qualitative And Social Science Factors In Archaeological Modelling
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Author : Mehdi Saqalli
language : en
Publisher: Springer
Release Date : 2019-07-04
Integrating Qualitative And Social Science Factors In Archaeological Modelling written by Mehdi Saqalli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-04 with Social Science categories.
This book covers the methodological, epistemological and practical issues of integrating qualitative and socio-anthropological factors into archaeological modeling. This text fills the gap between conceptual modeling (which usually relies on narratives describing the life of a past community) and formalized/computer-based modeling which are usually environmentally-determined. Methods combining both environmental and social issues through niche and agent-based modeling are presented. These methods help to translate data from paleo-environmental and archaeological society life cycles (such as climate and landscape changes) into the local spatial scale. The epistemological discussions will appeal to readers as well as the resilience socio-anthropological factors provide facing climatic fluctuations. Integrating Qualitative and Social Science Factors in Archaeological Modelling will appeal to students and researchers in the field.
Agent Based Modeling And Simulation
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Author : S. Taylor
language : en
Publisher: Springer
Release Date : 2014-08-27
Agent Based Modeling And Simulation written by S. Taylor and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-27 with Business & Economics categories.
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.
X Machines For Agent Based Modeling
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Author : Mariam Kiran
language : en
Publisher: CRC Press
Release Date : 2017-08-30
X Machines For Agent Based Modeling written by Mariam Kiran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-30 with Computers categories.
From the Foreword: "This book exemplifies one of the most successful approaches to modeling and simulating [the] new generation of complex systems. FLAME was designed to make the building of large scale complex systems models straightforward and the simulation code that it generates is highly efficient and can be run on any modern technology. FLAME was the first such platform that ran efficiently on high performance parallel computers and a version for GPU technology is also available. At its heart, and the reason why it is so efficient and robust, is the use of a powerful computational model ‘Communicating X-machines’ which is general enough to cope with most types of modelling problems. As well as being increasingly important in academic research, FLAME is now being applied in industry in many different application areas. This book describes the basics of FLAME and is illustrated with numerous examples." —Professor Mike Holcombe, University of Sheffield, UK Agent-based models have shown applications in various fields such as biology, economics, and social science. Over the years, multiple agent-based modeling frameworks have been produced, allowing experts with non-computing background to easily write and simulate their models. However, most of these models are limited by the capability of the framework, the time it takes for a simulation to finish, or how to handle the massive amounts of data produced. FLAME (Flexible Large-scale Agent-based Modeling Environment) was produced and developed through the years to address these issues. This book contains a comprehensive summary of the field, covers the basics of FLAME, and shows how concepts of X-machines, can be stretched across multiple fields to produce agent models. It has been written with several audiences in mind. First, it is organized as a collection of models, with detailed descriptions of how models can be designed, especially for beginners. A number of theoretical aspects of software engineering and how they relate to agent-based models are discussed for students interested in software engineering and parallel computing. Finally, it is intended as a guide to developers from biology, economics, and social science, who want to explore how to write agent-based models for their research area. By working through the model examples provided, anyone should be able to design and build agent-based models and deploy them. With FLAME, they can easily increase the agent number and run models on parallel computers, in order to save on simulation complexity and waiting time for results. Because the field is so large and active, the book does not aim to cover all aspects of agent-based modeling and its research challenges. The models are presented to show researchers how they can build complex agent functions for their models. The book demonstrates the advantage of using agent-based models in simulation experiments, providing a case to move away from differential equations and build more reliable, close to real, models. The Open Access version of this book, available at https://doi.org/10.1201/9781315370729, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.