Modelling medieval military logistics: an agent-based simulation of a Byzantine army on the march

Murgatroyd, Philip; Craenen, Bart; Theodoropoulos, Georgios; Gaffney, Vincent; Haldon, John

doi:10.1007/s10588-011-9103-9

Cited by 15 publications

(4 citation statements)

References 14 publications

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“…Lake 2001; Wren et al 2014) have mostly focused on dispersal, for example in the context of foragers looking for food or hominids moving out of Africa, rather than on the goal-oriented movement that is more commonly modelled in GIS. An exception to this is the study into army movement by Murgatroyd et al (2012), who used computer-intensive ABM to model the logistics and most probable marching route of Byzantine troops on their way to the lost battle of Manzikert.…”

Section: Lcps and Corridorsmentioning

confidence: 99%

Modelling of Pathways and Movement Networks in Archaeology: An Overview of Current Approaches

Verhagen

Nuninger

Groenhuijzen

2019

Computational Social Sciences

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This chapter presents and discusses current approaches and trends in computer-based modelling of pathways and movement networks in archaeology. After an introduction to the theoretical concepts involved, we present a state of the art of methodologies applied for reconstructing pathways and movement in ancient landscapes and discuss the various difficulties in using these methods as well as the most important technical hurdles involved. The problems of integrating optimal pathfinding algorithms with 'softer' socio-cultural variables are highlighted, as well as the limitations of modelling connections between places using least-cost path techniques. Network analysis reconstruction and analysis approaches are then reviewed as tools to better understand the overall structure of movement and communication in ancient landscapes. It is concluded that, while the potential of current approaches for understanding ancient movement is considerable, improvement is still needed in three main areas: the integration of approaches, sensitivity analysis and validation, and the theoretical underpinning of models of ancient movement.

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Section: Lcps and Corridorsmentioning

confidence: 99%

Modelling of Pathways and Movement Networks in Archaeology: An Overview of Current Approaches

Verhagen

Nuninger

Groenhuijzen

2019

Computational Social Sciences

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“…3 In particular, it seems that most apparently historical ABM actually involve what we might call an anthropological conception of history [2] in which agents behave according to fixed social rules that are simply played out over time. The clearest examples of these are research that is explicitly anthropological or archaeological [14,16,21,23,24]. However, other examples of ABM with this anthropological conception of history are those that (while dealing with clearly historical events) do so over sufficiently short time periods that behaviours and structures are also assumed to be constant [4,15].…”

Section: Abm and "History": A Very Brief Analytical Reviewmentioning

confidence: 99%

How Should Agent-Based Modelling Engage With Historical Processes?

Chattoe-Brown

Gabbriellini

2017

Advances in Intelligent Systems and Computing

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This paper consists of two main parts. After an introduction, the first part briefly considers the way that historical processes have been represented in ABM to date. This makes it possible to draw more general conclusions about the limitations of ABM in dealing with distinctively historical (as opposed to merely dynamic) processes. The second part of the paper presents a very simple ABM in which three such distinctively historical processes are analysed. These are the possible significance of unique individuals -so called Great Men, the invention and spread of social innovations from specific points in time and the creation of persistent social structures (also from specific points in time). The object of the paper is to advance the potential applicability of ABM to historical events as understood by historians (rather than anthropologists or practitioners of ABM.

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“…The potential of such applications to add to the debate follows from the increasing availability of relevant data and this suggests that these technologies may provide a step-change to our understanding of these complex, historic environments (Benjamin, 2011;Gaffney et al, 2009;Gaffney, Thomson, & Fitch, 2007;Kohler & Varien, 2012;Mithen, 2003). The distributed computational modelling of individual agents and complex ecological interactions between millions of agents and the environment will fill gaps in our knowledge that may be the result of the highly inaccessible nature of these lost landscapes (Gaffney et al, 2013) and, significantly, such studies will permit the generation of different hypotheses and scenarios to be explored through dynamic simulations in a manner that has never previously been imagined by archaeological researchers (Craenen, Murgatroyd, Theodoropoulos, Gaffney, & Suryanarayanan, 2012;Kohler & Gumerman, 2000;Lake, 2013;Murgatroyd, Craenen, Theodoropoulos, Gaffney, & Haldon, 2012). Whilst complexity science-based archaeological simulation that uses human input has never been attempted before, a similar work by Goldstone and Roberts on self-organisation in trail systems in groups of humans within a virtual environment have demonstrated the potentials of such work for future studies (Goldstone & Roberts, 2006).…”

Section: Introductionmentioning

confidence: 99%

Stigmergy in comparative settlement choice and palaeoenvironment simulation

2014

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Decisions on settlement location in the face of climate change and coastal inundation may have resulted in success, survival or even catastrophic failure for early settlers in many parts of the world. In this study, we investigate various questions related to how individuals respond to a palaeoenvironmental simulation, on an interactive tabletop device where participants have the opportunity to build a settlement on a coastal landscape, balancing safety, and access to resources, including sea and terrestrial foodstuffs, while taking into consideration the threat of rising sea levels. The results of the study were analyzed to consider whether decisions on settlement were predicated to be near to locations where previous structures were located, stigmergically, and whether later settler choice would fare better, and score higher, as time progressed. The proximity of settlements was investigated and the reasons for clustering were considered. The interactive simulation was

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Modelling medieval military logistics: an agent-based simulation of a Byzantine army on the march

Cited by 15 publications

References 14 publications

Modelling of Pathways and Movement Networks in Archaeology: An Overview of Current Approaches

Modelling of Pathways and Movement Networks in Archaeology: An Overview of Current Approaches

How Should Agent-Based Modelling Engage With Historical Processes?

Stigmergy in comparative settlement choice and palaeoenvironment simulation

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