Social simulation can be a difficult discipline to encompass fully. There are many methods, models, directions, and theories that can be discussed and applied to various social sciences. Anthropology, sociology, political science, economy, government, and management can all benefit from social simulation.
Interdisciplinary Applications of Agent-Based Social Simulation and Modeling aims to bring a different perspective to this interdisciplinary topic. This book presents current discussions and new insights on social simulation as a whole, focusing on its dangers, pitfalls, deceits, and challenges. This book is an essential reference for researchers in this field, professionals using social simulation, and even students studying this discipline.
Reviews and Testimonials
Computer scientists and social scientists address theoretical, methodological, technical, and instrumental issues concerning social simulation based mainly on artificial intelligence and multi-agent systems. Among the topics are agent interactions governed by morality, the usefulness of agent-based simulation in testing collective decision-making models, an agent-based model of vague beliefs in games, a unified framework for traditional and agent-based social networking modeling, agents' risk relations in strategic tax reporting, and an agent-based simulation study of knowledge-based externalities and geographical clusters.
– ProtoView Book Abstracts (formerly Book News, Inc.)