Debates over the causes and consequences of the “Axial Age” – and its relevance for understanding and explaining “modernity” – continue to rage within and across a wide variety of academic disciplines, including anthropology, sociology, archaeology, history, social theory, and cognitive science. We present a computational model that synthesizes three leading theories about the emergence of axial civilizations. Although these theories are often treated as competitors, our computational model shows how their most important conceptual insights and empirically based causal claims (...) can be integrated within a single computational architecture. The plausibility of the latter is supported by the results of our simulation experiments, which were able to simulate the emergence and growth of an axial civilization. The model shows how the relevant theories can be rendered consistent, while challenging the claims of any one to comprehensiveness. (shrink)

This uniquely inspirational and practical book explores human simulation, which is the application of computational modeling and simulation to research subjects in the humanities disciplines. It delves into the fascinating process of collaboration among experts who usually don’t have much to do with one another – computer engineers and humanities scholars – from the perspective of the humanities scholars. It also explains the process of developing models and simulations in these interdisciplinary teams. Each chapter takes the reader on a journey, (...) presenting a specific theory about the human condition, a model of that theory, discussion of its implementation, analysis of its results, and an account of the collaborative experience. Contributing authors with different fields of expertise share how each model was validated, discuss relevant datasets, explain development strategies, and frankly discuss the ups and downs of the process of collaborative development. Readers are given access to the models and will also gain new perspectives from the authors’ findings, experiences, and recommendations. Today we are in the early phases of an information revolution, combining access to vast computing resources, large amounts of human data through social media, and an unprecedented richness of methods and tools to capture, analyze, explore, and test hypotheses and theories of all kinds. Thus, this book’s insights will be valuable not only to students and scholars of humanities subjects, but also to the general reader and researchers from other disciplines who are intrigued by the expansion of the information revolution all the way into the humanities departments of modern universities. (shrink)

The social sciences and humanities are fragmented into specialized areas, each with their own parlance and procedures. This hinders information sharing and the growth of a coherent body of knowledge. Modeling and simulation can be the scientific lingua franca, or shared technical language, that can unite, integrate, and relate relevant parts of these diverse disciplines.Models are well established in the scientific community as mediators, contributors, and enablers of scientific knowledge. We propose a potentially revolutionary linkage between social sciences, humanities and (...) computer simulation, forging what we call “human simulation.” We explore three facets of human simulation, namely: the simulation of humans, the design of simulations for human use, and simulations that include humans as well as simulated agents among the actors. We describe the potential of human simulation using several illuminating examples. We also discuss computational, epistemological, and hermeneutical challenges constraining the use of human simulation. (shrink)

Modeling is as old as humanity. It is one of the ways in which we experience the world, teach our children, and entertain ourselves. The digital computer, on the other hand, is approximately 60 years old but as computing power increases and access to technology becomes easier, more disciplines are using statistical and computational simulations. From the humanities to social sciences, scholars are advocating for a computational branch of their field of study. This is very exciting, and we want to (...) make sure that all disciplines stay connected and share their insights as they grow in their respective areas. Religion is a complex system that consists of humans, society, culture and social constructs that have evolved over millennia. The study of religion relies on empirical approaches to collect and analyze data to generate or validate existing theories. Modeling and simulation allows us to venture beyond statistical observation and into an exploration of the causal relationships between the different aspects of religion. It provides us with the ability to understand the system as a whole, the possibility of projecting how religion will evolve in the future and the capability to compare, contrast and merge seemingly conflicting theories of religion. In this article, we present five critical things that scholars in psychology of religion should know about the discipline of Modeling and Simulation. The goal of this short primer is to highlight the universal aspects of Modeling and Simulation and to provide a unifying view that transcends disciplines. (shrink)

We present a perspective of the national transplant program based on organizational theory and complexity theory, framing the system’s allocation of donor organs as an interorganizational directed multiplex of agents with diverse belief formation in a cooperative-competitive environment. Simulation and analysis of this macroscale complexity may help explain known behavioural variations across member organizations. However, the transplant community still relies on system-scale simulations since effective macroscale methodologies are not well established. Therefore, we offer this perspective of the national transplant program (...) as a means to stimulate new methods that capture macroscale impacts of policy development for deceased donor organ allocation. (shrink)

Operating universities under pandemic conditions is a complex undertaking. The Artificial University responds to this need. TAU is a configurable, open-source computer simulation of a university using a contact network based on publicly available information about university classes, residences, and activities. This study evaluates health outcomes for an array of interventions and testing protocols in an artificial university of 6,500 students, faculty, and staff. Findings suggest that physical distancing and centralized contact tracing are most effective at reducing infections, but there (...) is a tipping point for compliance below which physical distancing is less effective. If student compliance is anything short of high, it helps to have separate buildings for quarantining infected students, thereby gracefully increasing compliance. Hybrid in-person and online classes and closing fitness centers do not significantly change cumulative infections but do significantly decrease the number of the infected at any given time, indicating strategies for “flattening the curve” to protect limited resources. Supplementing physical distancing with centralized contact tracing decreases infected individuals by an additional 14%; boosting frequency of testing for student-facing staff yields a further 7% decrease. A trade-off exists between increasing the sheer number of infection tests and targeting testing for key nodes in the contact network. There are significant advantages to getting and acting on test results quickly. The costs and benefits to universities of these findings are discussed. Artificial universities can be an important decision support tool for universities, generating useful policy insights into the challenges of operating universities under pandemic conditions. (shrink)

Religious practices centered on controlled trance states, such as Siberian shamanism or North African zar, are ubiquitous, yet their characteristics vary. In particular, cross-cultural research finds that female-dominated spirit possession cults are common in stratified societies, whereas male-dominated shamanism predominates in structurally flatter cultures. Here, we present an agent-based model that explores factors, including social stratification and psychological dissociation, that may partially account for this pattern. We posit that, in more stratified societies, female agents suffer from higher levels of psychosocial (...) trauma, whereas male agents are more vulnerable in flatter societies. In societies with fewer levels of formal hierarchy, males come into informal social competition more regularly than in stratified contexts. This instability leads to a cultural feedback effect in which dissociative experiences deriving from chronic psychosocial stress become canalized into a male religious trance role. The model reproduces these patterns under plausible parameter configurations. (shrink)