Ant Observation

Observations of ants that introduced Myrmecology began to appear from the late 18th century to the early 19th century. Myrmecology comes from Greek Murmek which means ant. The most noteworthy are the three major names: Linne made "Systemae Naturae", he explained 18 kinds of ants. Fabricius created five genera and further explained other species. He gathered and studied European ants and explained about the many species that his predecessors ignored.

You can explore this by analogy. Imagine ants that observe human behavior. From the ant's point of view, humans did not spend time "solving anti-centric problems". In fact, the size and complexity of the simplest actions of humans far exceeds the concept of ants, so everything human beings can do is remotely understandable and even unobservable. I think that ant is most likely to explain the word "strange" by humans as it can be observed. Does anyone know which way they go? Perhaps they invented a new logical system that is incompatible with human neurology. Perhaps they discovered that our universe is a simulation and that we will connect with our creators to negotiate cultural exchanges. Perhaps they will use pure mathematics to break up the dark matter and turn our reality into an alternative quantum state that they are creator. Perhaps they will do something that we do not even have a language to explain.

Let's consider a group of ants looking for food. Random observation of ant colonies will reveal that ant often go straight between their anthilles and food sources. The concept of 'military' in ant marching has penetrated popular culture and most people (almost all human-friendly places) living in ant friendly areas are witnessing this particular behavior. Linear traveling is usually the shortest route and it seems to be an obvious solution to the problem of efficient food transport.

Artificial intelligence researcher Marco Dorigo explained how to provisionally generate "good solution" of TSP using ant colony simulation called ACS (ant colony system) in 1993. Due to the preference of each ant preference for micropheromones accumulated by other ants, it simulates the observed behavior in actual ant to find short paths between food sources and their nests . ACS sends a number of virtual Ant agents to discover many possible routes on the map. Each ant stochastically chooses the next city to visit, based on the distance the heuristic couples to the city and the amount of virtual pheromone that accumulates at the edge of the city. Ali explored and deposited pheromones on each side they passed through until the end of the trip. At this point, Ali who completed the shortest trip will deposit the virtual pheromone along their complete travel route (Global Track Update).