text: # Preference over reward modality 
  C[2] = [0 .0 , 3 .0 , -3 .0 ] # Rewards preferred , losses not preferred 
  
  # Preference over cue modality 
  C[3] = [0 .0 , 0 .0 ] # No preference 
  (cid:6)  (cid:5) 
  
  Then, we built**D**, which was the prior or initial belief over the environmental states. There 
  was a vector in**D**for each of the two state factors: the location state and the reward 
  condition. We let the agent start with a belief that it was at the centre location (index 1), 
  and gave uniform priors for the reward condition: 