@article{1443981,
      recid = {1443981},
      author = {Treur, Jan, and Van Ments, Laila,},
      title = {Mental models and their dynamics, adaptation, and control  : a self-modeling network modeling approach /},
      publisher = {Springer,},
      address = {Cham, Switzerland :},
      pages = {1 online resource},
      year = {2022},
      note = {Includes index.},
      abstract = {This book introduces a generic approach to model the use  and adaptation of mental models, including the control over  this. In their mental processes, humans often make use of  internal mental models as a kind of blueprints for  processes that can take place in the world or in other  persons. By internal mental simulation of such a mental  model in their brain, they can predict and be prepared for  what can happen in the future. Usually, mental models are  adaptive: they can be learned, refined, revised, or  forgotten, for example. Although there is a huge literature  on mental models in various disciplines, a systematic  account of how to model them computationally in a  transparent manner is lacking. This approach allows for  computational modeling of humans using mental models  without a need for any algorithmic or programming skills,  allowing for focus on the process of conceptualizing,  modeling, and simulating complex, real-world mental  processes and behaviors. The book is suitable for and is  used as course material for multidisciplinary Master and  Ph.D. students.},
      url = {http://library.usi.edu/record/1443981},
      doi = {https://doi.org/10.1007/978-3-030-85821-6},
}