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Advances in the social sciences have emerged through a variety of research methods: field-based research, laboratory and field experiments, and agent-based models. However, which research method or approach is best suited to a particular inquiry is frequently debated and discussed. Working Together examines how different methods have promoted various theoretical developments related to collective action and the commons, and demonstrates the importance of cross-fertilization involving multimethod research across traditional boundaries. The authors look at why cross-fertilization is difficult to achieve, and they show ways to overcome these challenges through collaboration. The authors provide...
Studies that integrate scientific, technological, and economic dimensions of industrial ecology and material flows. The use of economic modeling techniques in industrial ecology research provides distinct advantages over the customary approach, which focuses on the physical description of material flows. The thirteen chapters of Economics of Industrial Ecology integrate the natural science and technological dimensions of industrial ecology with a rigorous economic approach and by doing so contribute to the advancement of this emerging field. Using a variety of modeling techniques (including econometric, partial and general equilibrium, and input-output models) and applying them to a wide ran...
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...
This instructional book showcases techniques to parameterise human agents in empirical agent-based models (ABM). In doing so, it provides a timely overview of key ABM methodologies and the most innovative approaches through a variety of empirical applications. It features cutting-edge research from leading academics and practitioners, and will provide a guide for characterising and parameterising human agents in empirical ABM. In order to facilitate learning, this text shares the valuable experiences of other modellers in particular modelling situations. Very little has been published in the area of empirical ABM, and this contributed volume will appeal to graduate-level students and researc...
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.
Looks at the importance of cooperation in human beings and in nature, arguing that this social tool is as important an aspect of evolution as mutation and natural selection.
The Routledge Handbook of Research Methods for Social-Ecological Systems provides a synthetic guide to the range of methods that can be employed in social-ecological systems (SES) research. The book is primarily targeted at graduate students, lecturers and researchers working on SES, and has been written in a style that is accessible to readers entering the field from a variety of different disciplinary backgrounds. Each chapter discusses the types of SES questions to which the particular methods are suited and the potential resources and skills required for their implementation, and provides practical examples of the application of the methods. In addition, the book contains a conceptual an...
Theories of the Policy Process provides a forum for the experts in policy process research to present the basic propositions, empirical evidence, latest updates, and the promising future research opportunities of each policy process theory. In this thoroughly revised fifth edition, each chapter has been updated to reflect recent empirical work, innovative theorizing, and a world facing challenges of historic proportions with climate change, social and political inequities, and pandemics, among recent events. Updated and revised chapters include Punctuated Equilibrium Theory, Multiple Streams Framework, Policy Feedback Theory, Advocacy Coalition Framework, Narrative Policy Framework, Institut...
The quality of ecosystems is affected by the actions of different stakeholders who use them in a variety of ways. In order to understand this complex relationship between humans and nature, it is vital to understand the complexity of the interacting agents. The authors in this book attempt to do this by applying multi-agent systems to the problems of ecosystem management. The multi-agent approach to ecosystem management is a relatively new and rapidly developing field which takes a formal computational approach towards the interaction of humans with their environment. The authors highlight some of the promising new methodologies which are emerging in the field from disciplines such as computer science and computational social science. They move on to address a number of important topics including diffusion processes, common-pool resources, land use change and the participatory use of models, in an attempt to solve contemporary management issues. They clearly demonstrate the potential utility of multi-agent systems in the context of theoretical problems and practical case studies.
The explosive growth in computational power over the past several decades offers new tools and opportunities for economists. This handbook volume surveys recent research on Agent-based Computational Economics (ACE), the computational study of economic processes modeled as dynamic systems of interacting agents. Empirical referents for "agents" in ACE models can range from individuals or social groups with learning capabilities to physical world features with no cognitive function. Topics covered include: learning; empirical validation; network economics; social dynamics; financial markets; innovation and technological change; organizations; market design; automated markets and trading agents; political economy; social-ecological systems; computational laboratory development; and general methodological issues.*Every volume contains contributions from leading researchers*Each Handbook presents an accurate, self-contained survey of a particular topic *The series provides comprehensive and accessible surveys