In the wild, a single shepherd can gather and lead a herd of hundreds of sheep, and people want to collect, lead or divert other species of animals as well. In the vicinity of airports, aircraft often have problems with flocks of birds, causing them damage to their engines or even crashes. Many have already researched various models of guidance using artificial intelligence in order to be able to tackle similar problems with robots or drones. The use of smart shepherds could also come in handy when collecting spilled oil on the water or when leading a panicked crowd of people to safety in crisis situations.
In this part, we study different models of sheep movement, develop a management model and further improve it with artificial intelligence methods. We propose solutions to various problems that arise in learning. Namely, we want to develop a model according to which shepherds transport the entire herd to the stable as quickly as possible. We first add the participation of several shepherds to the basic management model, then we find good model parameters for the selected herd sizes and number of shepherds. Finally, we develop a model in which the shepherd decides on the values of parameters on the basis of selected information.
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