Interdisciplinary Applications of Agent-Based Social Simulation and Modeling

Interdisciplinary Applications of Agent-Based Social Simulation and Modeling

Diana Francisca Adamatti (Universidade Federal do Rio Grande, Brasil), Graçaliz Pereira Dimuro (Universidade Federal do Rio Grande, Brasil) and Helder Coelho (Universidade de Lisboa, Portugal)
Indexed In: SCOPUS View 1 More Indices
Release Date: April, 2014|Copyright: © 2014 |Pages: 376
ISBN13: 9781466659544|ISBN10: 1466659548|EISBN13: 9781466659551|DOI: 10.4018/978-1-4666-5954-4


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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Adaptive Agent-Based Models
  • Evolutionary Agent-Based Models
  • Game Theory in Agent-Based Models
  • Hybrid Agent Models
  • Real-World Social Simulation
  • Reliable Agent Models
  • Soft Computing in Agent-Based Models

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.)

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Diana Francisca Adamatti is associate professor at Universidade Federal do Rio Grande, Brazil. She received her PhD from Escola Politécnica da Universidade de São Paulo, Brazil (2007). She has a MSc from Universidade Federal do Rio Grande do Sul (2003) and BSc from Universidade de Caxias do Sul (2000), both in Brazil. Her research areas are Multiagent Systems, Trust and Natural Research Management.
Gracaliz Pereira Dimuro graduated in Civil Engineering (1980) at Universidade Católica de Pelotas, and has a M.Sc. degree (1992) and a Ph.D. degree (1998) in Computer Science, all from UFRGS. His current research interests are Agent and Multiagent Systems, Social Agent-based Simulation, Soft and Evolutionary Hybrid Agent Models, Fuzzy Logic and Systems. She is a research fellow of CNPq, member of the board of the Brazilian Society of Computational and Applied Mathematics (SBMAC), member of the editorial board of the journal Trends in Computational and Applied Mathematics (TEMA), member of the Special Committee of Artificial Intelligence (CEIA) of the Brazilian Computer Society (SBC), and advises graduate thesis at FURG.
Helder Coelho is full professor of Lisbon University, ECAI Fellow, Member of the Portuguese Academy of Engineering.