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Empirical Agent-Based Modelling - Challenges and Solutions
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...
Complexity and Ecosystem Management
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.
Working Together
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...
Competitive Strategy
A new paradigm for balancing flexibility and commitment in management strategy through the amalgamation of real options and game theory. Corporate managers who face both strategic uncertainty and market uncertainty confront a classic trade-off between commitment and flexibility. They can stake a claim by making a large capital investment today, influencing their rivals' behavior, or they can take a “wait and see” approach to avoid adverse market consequences tomorrow. In Competitive Strategy, Benoît Chevalier-Roignant and Lenos Trigeorgis describe an emerging paradigm that can quantify and balance commitment and flexibility, “option games,” by which the decision-making approaches of...
Making World Development Work
"The authors reexamine world development - usually the province of economists - as professionals trained in the natural sciences. They show how we have and might use tested scientific and technical procedures and concepts, as well as science itself, to achieve much better results than what has been characteristic of the past. Leclerc and Hall contend that to scholars with a scientific background, the process of development, and the economic logic behind it, often look almost surrealistic. The basic question at the foundation of this review is this: Why should something so important as world development, something capable of absorbing such vast sums of money and of human goodwill, something that impacts the people and the environment so much, continue to be organized and planned using economic techniques and theories that are both unconfirmed experimentally and proven to have led to development failures?"--BOOK JACKET.
Resilient and Sustainable Farming Systems in Europe
An investigation of the sustainability of European farming systems in response to economic, environmental, institutional, and social challenges.
Growing Green
The Economic Benefits of Climate Action shows how well-designed policies can reduce the ECA region s carbon footprint while promoting growth opportunities and protecting the living standards of lower income households.
Principles of Economics in Context
Principles of Economics in Context lays out the principles of micro- and macroeconomics in a manner that is thorough, up to date, and relevant to students, attuned to the economic realities of the world around them. It offers engaging treatment of important current topics such as new thinking in behavioral economics, financial instability and market bubbles, debt and deficits, and policy responses to the problems of unemployment, inequality, and environmental sustainability. This new, affordable edition combines the just-released new editions of Microeconomics in Context and Macroeconomics in Context to provide an integrated full-year text covering all aspects of both micro and macro analysi...
Advances in Social Computing
Social computing is concerned with the study of social behavior and social context based on computational systems. Behavioral modeling provides a representation of the social behavior, and allows for experimenting, scenario planning, and deep und- standing of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies by humans in everyday life provides an unprecedented en- ronment of various social activities that, due to the platforms under which they take place, generate large amounts of stored data as a by-product, often in systematically organized form. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, a...
