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. This book provides a state-of-the-art review of the theory and application of multi-agent systems for ecosystem management. It will prove indispensable for ecological economists, natural resource and social scientists, and policymakers. It will also appeal to students and scholars who are interested in modelling the human dimensions of global environmental change.

Integrated assessment modelling is an active and rapidly developing field, triggered by the debate on climate change and the move towards the goal of sustainable development. This book provides an integrated approach to modelling, using a transdisciplinary approach. The author summarizes the main issues involved in the changing global system, and gives an overview of the emerging field of integrated assessment. He then presents a general discussion of the methodological principles of a multidisciplinary integrated modelling approach. Existing tools are examined and new methodological approaches are applied to various aspects of the problem of global change. The case studies focus on optimizing climate change mitigating policies, the allocation of emission rights and the the adaptive behaviour of social and biological agents. Special attention is given to the role of uncertainty, especially the subjective interpretation of uncertainties (world views), and the role of adaptive multi-agent modelling. The book concludes with a discussion on future uses of integrated assessment modelling in the global environment. Modelling Global Change will be vital to economists and scientists who have an interest in integrated assessment modelling, global modelling and decision support, environmental and ecological economists and those interested in sustainable development.

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 numerous examples of collaborative, multimethod research related to collective action and the commons. They examine the pros and cons of case studies, meta-analyses, large-N field research, experiments and modeling, and empirically grounded agent-based models, and they consider how these methods contribute to research on collective action for the management of natural resources. Using their findings, the authors outline a revised theory of collective action that includes three elements: individual decision making, microsituational conditions, and features of the broader social-ecological context.

Acknowledging the academic incentives that influence and constrain how research is conducted, "Working Together" reworks the theory of collective action and offers practical solutions for researchers and students across a spectrum of disciplines.