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Extra info for Self-Organization. Theories and Methods
Sample text
The ize is set to 51 agents. oration (heuristic or blind search) and, accordingly, the information contained mone table keeps increasing. ~'pheromone table's information increases, the agents can use this information ~~iqearch. Thus, the foragers may start performing an exploitation search and ,~;,can be reduced. 2). It can be observed that ifthere are not enough foragers to cope with fainty, the entropy may continue to increase, resulting to an excessive dispersion ch; ~· other hand, when the patrollers use the heuristic function, since this is too retp~re is not much uncertainty on which there is action to perlorm- and patrollers it to select a few actions, therefore after the initialization phase, the entropy of :'Jmone table tends to decrease to lower levels, even without foragers.
At this point, it can be said that the system self-organized by the means of taking into account how the spontaneous foragers have been introduced. A real example: the previous simulations show that the system is able to organize foragers and patrollers, synchronizing their behavior according to the events produced by each one. In a real problem, these events are produced by the real success or failure of each population. Patrollers and foragers tend to organize th ems elves in such a way; that both produce the same quantity of successful events.
Value of the threshold function Tµ(f r[i] ,pr[i]) according to the number of foragers (f r[i]), and the relationship betweenµ and the best solution found so far (g(best)/ µ). The patrollers number (pr[i]) is set to 50 agents. Finally, this function is included into the population dynamics as the mechanism that recruits new foragers in the cases where a patroller or a forager is unsuccessful can be seen in figure 10. Linking this function with the failure of a forager serves to decide when this forager must be released again, or when it is considered not worthly to do so because there is already enough active foragers.