// Configuration file for pOpinionManager
// The vehicle's opinion for every option is configured below
//
// General assumptions for reasonable group behavior:
// gamma - delta > 0 : Cooperative
// gamma - delta < 0 : Competitive
// alpha >= 0
// beta  < 0


// -------------------------------------------
// Loiter1
social_option
{
               name = loiter
   active_condition = DEPLOY=true    // default options is 'always'
   active_condition = OPTIONS_ACTIVE=true
              input = LOITER_BIAS   // ODOMETRY_DIST
      option_output = OPTION=LOITER
      option_output = HOLD_OPTIONS=false

         social_mode = custom
   resistance_weight = 1.0
   
    intra_agent_same_option_coupling = 0.4   // Self reinforcement  (alpha)
//   intra_agent_inter_option_coupling = trail = -0.04            //  (beta)	
    inter_agent_same_option_coupling = -0.2  // influence of others (gamma)
//   inter_agent_inter_option_coupling = loiter2 = 0.2            //  (delta)
 //  randomly_perturb_params = true
      
   input_function_type =  none
            input_max  =  100
            input_min  = -100
            input_gain = 1.0
}

// -------------------------------------------
// Trail
social_option
{
               name = trail
   active_condition = DEPLOY=true    // default options is 'always'
   active_condition = OPTIONS_ACTIVE=true
              input = TRAIL_BIAS
      option_output = OPTION=TRAIL
      option_output = HOLD_OPTIONS=false
      option_output = SCENARIO_RESET_PAUSE=true
      option_output = ACTIVE_DETECT=false

         social_mode = custom
   resistance_weight = 1.0
   
    intra_agent_same_option_coupling = 0.4   // Self reinforcement  (alpha)
//   intra_agent_inter_option_coupling = loiter = -0.01            //  (beta)	
    inter_agent_same_option_coupling = -0.2  // influence of others (gamma)
//   inter_agent_inter_option_coupling = loiter1 = 0.2 //2.0           //  (delta)

   //randomly_perturb_params = true
   
   input_function_type =  none
            input_max  =  100
            input_min  = -100
            input_gain =  1.0
}