Multi-Agent-Based Simulations Applied to Biological and Environmental Systems

Multi-Agent-Based Simulations Applied to Biological and Environmental Systems

Indexed In: SCOPUS
Release Date: December, 2016|Copyright: © 2017 |Pages: 406
DOI: 10.4018/978-1-5225-1756-6
ISBN13: 9781522517566|ISBN10: 1522517561|EISBN13: 9781522517573
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Description & Coverage
Description:

The discovery and development of new computational methods have expanded the capabilities and uses of simulations. With agent-based models, the applications of computer simulations are significantly enhanced.

Multi-Agent-Based Simulations Applied to Biological and Environmental Systems is a pivotal reference source for the latest research on the implementation of autonomous agents in computer simulation paradigms. Featuring extensive coverage on relevant applications, such as biodiversity conservation, pollution reduction, and environmental risk assessment, this publication is an ideal source for researchers, academics, engineers, practitioners, and professionals seeking material on various issues surrounding the use of agent-based simulations.

Coverage:

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

  • Agent Societies
  • Biodiversity Conservation
  • Environmental Risk Assessment
  • Intuitive Agent-Based Software
  • Microbial Fuel Cells
  • Neuronal Assemblies
  • Pollution Reduction
  • Systems Biology Applications
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Editor/Author Biographies
Diana F. Adamatti is Assistant Professor at Universidade Federal do Rio Grande - Brazil. She received her PhD from Escola Politécnica da Universidade de São Paulo, Brazil. She has a MSc from Universidade Federal do Rio Grande do Sul and BSc from Universidade de Caxias do Sul, both in Brazil. Her many areas of research Aritificial Intelligence, Social Simulation and Multi-Agent-Based Simulation.
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