@article{825225,
      recid = {825225},
      author = {Burguillo, Juan C.,},
      title = {Self-organizing coalitions for managing complexity :  agent-based simulation of evolutionary game theory models  using dynamic social networks for interdisciplinary  applications /},
      pages = {1 online resource.},
      abstract = {This book provides an interdisciplinary approach to  complexity, combining ideas from areas like complex  networks, cellular automata, multi-agent systems,  self-organization and game theory. The first part of the  book provides an extensive introduction to these areas,  while the second explores a range of research scenarios.  Lastly, the book presents CellNet, a software framework  that offers a hands-on approach to the scenarios described  throughout the book. In light of the introductory chapters,  the research chapters, and the CellNet simulating  framework, this book can be used to teach undergraduate and  master?s students in disciplines like artificial  intelligence, computer science, applied mathematics,  economics and engineering. Moreover, the book will be  particularly interesting for Ph. D. and postdoctoral  researchers seeking a general perspective on how to design  and create their own models.},
      url = {http://library.usi.edu/record/825225},
      doi = {https://doi.org/10.1007/978-3-319-69898-4},
}