Game Practice And The Environment
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Game Practice and the Environment
Author: Carlo Carraro
language: en
Publisher: Edward Elgar Publishing
Release Date: 2004-01-01
This book summarises the latest achievements of researchers involved in the application of game theory to the analysis of environmental matters. It provides an overview of different methods and applications, and gives the reader new insights on the solutions to complex environmental problems. The authors investigate various game theoretic approaches, including cooperative and non-cooperative game theory, and analyse both dynamic and static games. They illustrate the application of these approaches to global and local environmental problems, and present novel but effective tools to support environmental policy making. In particular, they focus on three important issues; climate negotiations and policy, the sharing of environmental costs, and environmental management and pollution control.
Game Theory and Policy Making in Natural Resources and the Environment
This book includes chapters by experts from developing and developed countries that apply game theory to issues in natural resources and the environment, demonstrating the usefulness of game theory in policy-making and appealing to a wide audience.
Intelligent Tutoring Systems
This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Tutoring Systems, ITS 2016, held in Zagreb, Croatia, in June 2016. The 20 revised full papers, 32 short papers, 35 posters, and 7 young researchers’ track papers presented in this volume were carefully reviewed and selected from 147 submissions. The specific theme of the ITS 2016 conference is "Adaptive Learning in Real World Contexts". ITS 2016 covers a wide range of topics such as: intelligent tutoring; informal learning environments, learning as a side effect of interactions; collaborative and group learning, communities of practice and social networks; simulation-based learning and serious games; dialogue and discourse during learning interactions; co-adaptation between technologies and human learning; ubiquitous and mobile learning environments; empirical studies of learning with technologies, understanding human learning on the web; adaptive support for learning, models of learners, diagnosis and feedback; modeling of motivation, metacognition, and affect aspects of learning; recommender systems for learning; virtual pedagogical agents and learning companions; ontological modeling, semantic web technologies and standards for learning; multi-agent and service oriented architectures for learning and tutoring environments; educational exploitation of data mining and machine learning techniques; instructional design principles or design patterns for educational environments; authoring tools and development methodologies for advanced learning technologies; domain-specific learning technologies, e.g. language, mathematics, reading, science, medicine, military, and industry; non conventional interactions between artificial intelligence and human learning; and privacy and security in e-learning environments.