Computational Biology 10 bees

Main idea:

• Explain the model
  • tell the story - how to extract individual behaviour from the behaviour of collective
• Model selection
  • obtain rational functions
  • show how to apply different methods for the default model (new bees, synch, agnostic)
  • Scalability of the refinement forces us to deal with parameter space explosion.
  • Hence 2 candidate “sub”-models: linear and sigmoidal
  • Data encoding as the data are sparse
  • Compare the results of optimisation and MH among default and submodels
• Application for 10 bees

To Do:

• write backbone/draft @matej