Animal Social Complexity

For over 25 years, primatologists have speculated that intelligence, at least in monkeys and apes, evolved as an adaptation to the complicated social milieu of hard-won friendships and bitterly contested rivalries. Yet the Balkanization of animal research has prevented us from studying the same problem in other large-brained, long-lived animals, such as hyenas and elephants, bats and sperm whales. Social complexity turns out to be widespread indeed. For example, in many animal societies one individual's innovation, such as tool use or a hunting technique, may spread within the group, thus creating a distinct culture. As this collection of studies on a wide range of species shows, animals develop a great variety of traditions, which in turn affect fitness and survival. The editors argue that future research into complex animal societies and intelligence will change the perception of animals as gene machines, programmed to act in particular ways and perhaps elevate them to a status much closer to our own. At a time when humans are perceived more biologically than ever before, and animals as more cultural, are we about to witness the dawn of a truly unified social science, one with a distinctly cross-specific perspective?

A radical exploration of how rituals have influenced history over thousands of years. From infancy, we copy those around us in order to be like others, to be one with the tribe. Other primates will copy behaviour that leads to transparent benefits, such as access to food, but only humans promiscuously copy actions that have no obvious instrumental purpose. The copying of causally opaque behaviour (rituals) has allowed cultural groups to proliferate over time and space. The frequency and emotional intensity of ritual performances constrains the scale and structure of cultural groups. Rare, traumatic rituals (e.g. painful initiations) produce very strong social cohesion in small, relational groups such as military battalions or local cults whereas daily and weekly rituals (e.g. collective praying in mosques, churches, and synagogues) produce diffuse cohesion in indefinitely expandable communities. This pioneering study presents a theory of how these two 'ritual modes' have influenced the course of human history over many thousands of years and continue to shape the groups we live in today. The resulting programme of research offers a radically new paradigm for the social sciences, one that bridges across disciplinary silos, samples the full diversity of the world's populations, and plumbs our richest sources of information about cultural systems, past and present. In doing so, leading anthropologist Harvey Whitehouse shows how we can modify the way we tackle some of the most pressing challenges of our day, from violent extremism to global heating. All the problems humanity creates are ultimately problems of cooperation. Solving these problems will require social glue. Whitehouse suggests various practical ways in which our growing knowledge about the role of ritual in group bonding can help us achieve a more peaceful and prosperous future, not only for ourselves but for all species who share the planet with us.

This book demonstrates the application of network theory to the social organization of animals.

This volume examines all aspects of using agent or individual-based simulation. This approach represents systems as individual elements having their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society. Social systems include all those systems where the components have individual agency but also interact with each other. This includes human societies and groups, but also increasingly socio-technical systems where the internet-based devices form the substrate for interaction. These systems are central to our lives, but are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible but, on the other hand, natural language approaches are also inadequate for relating intricate cause and effect. This is why individual and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. This handbook marks the maturation of this new field. It brings together summaries of the best thinking and practices in this area from leading researchers in the field and constitutes a reference point for standards against which future methodological advances can be judged. This second edition adds new chapters on different modelling purposes and applying software engineering methods to simulation development. Revised existing content will keep the book up-to-date with recent developments. This volume will help those new to the field avoid "reinventing the wheel" each time, and give them a solid and wide grounding in the essential issues. It will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introduction, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called ‘Why read this chapter?’ followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section on ‘Further Reading’. Whilst sometimes covering technical aspects, this second edition of Simulating Social Complexity is designed to be accessible to a wide range of researchers, including both those from the social sciences as well as those with a more formal background. It will be of use as a standard reference text in the field and also be suitable for graduate level courses.

Social network analysis is used widely in the social sciences to study interactions among people, groups, and organizations, yet until now there has been no book that shows behavioral biologists how to apply it to their work on animal populations. Exploring Animal Social Networks provides a practical guide for researchers, undergraduates, and graduate students in ecology, evolutionary biology, animal behavior, and zoology. Existing methods for studying animal social structure focus either on one animal and its interactions or on the average properties of a whole population. This book enables researchers to probe animal social structure at all levels, from the individual to the population. No prior knowledge of network theory is assumed. The authors give a step-by-step introduction to the different procedures and offer ideas for designing studies, collecting data, and interpreting results. They examine some of today's most sophisticated statistical tools for social network analysis and show how they can be used to study social interactions in animals, including cetaceans, ungulates, primates, insects, and fish. Drawing from an array of techniques, the authors explore how network structures influence individual behavior and how this in turn influences, and is influenced by, behavior at the population level. Throughout, the authors use two software packages--UCINET and NETDRAW--to illustrate how these powerful analytical tools can be applied to different animal social organizations.

Social Complexity and Complex Systems in Archaeology turns to complex systems thinking in search of a suitable framework to explore social complexity in Archaeology. Social complexity in archaeology is commonly related to properties of complex societies such as states, as opposed to so-called simple societies such as tribes or chiefdoms. These conceptualisations of complexity are ultimately rooted in Eurocentric perspectives with problematic implications for the field of archaeology. This book provides an in-depth conceptualisation of social complexity as the core concept in archaeological and interdisciplinary studies of the past, integrating approaches from complex systems thinking, archaeological theory, social practice theory, and sustainability and resilience science. The book covers a long-term perspective of social change and stability, tracing the full cycle of complexity trajectories, from emergence and development to collapse, regeneration and transformation of communities and societies. It offers a broad vision on social complexity as a core concept for the present and future development of archaeology. This book is intended to be a valuable resource for students and scholars in the field of archaeology and related disciplines such as history, anthropology, sociology, as well as the natural sciences studying human-environment interactions in the past.

Animals and Inequality in the Ancient World explores the current trends in the social archaeology of human-animal relationships, focusing on the ways in which animals are used to structure, create, support, and even deconstruct social inequalities. The authors provide a global range of case studies from both New and Old World archaeology—a royal Aztec dog burial, the monumental horse tombs of Central Asia, and the ceremonial macaw cages of ancient Mexico among them. They explore the complex relationships between people and animals in social, economic, political, and ritual contexts, incorporating animal remains from archaeological sites with artifacts, texts, and iconography to develop their interpretations. Animals and Inequality in the Ancient World presents new data and interpretations that reveal the role of animals, their products, and their symbolism in structuring social inequalities in the ancient world. The volume will be of interest to archaeologists, especially zooarchaeologists, and classical scholars of pre-modern civilizations and societies.

This book presents an overview of the results of the research project DESPAMED funded by the Spanish Minister of Economy and Competitiveness. The aim of the book is to discuss the theoretical challenges posed by the study of social inequality and social complexity in early medieval peasant communities in North-western Iberia.