Modelling of Swarm Intelligence in Artificial Intelligence.

I need help creating a thesis and an outline on Modelling of Swarm Intelligence in Artificial Intelligence. Prepare this assignment according to the guidelines found in the APA Style Guide. An abstract is required. Yet as a result of this local simple interaction between the agents, and intelligent behaviour emerges at the global level. The agents are unaware of the ultimate global intelligent behaviour that their individual behaviours lead to.

One of nature’s many species that exhibit swarm behaviour are the social insects of which one is the ant. The Ant Colony Optimization (ACO) is an AI approach that models the natural behaviour of ants and embeds the modelled behaviour into artificial ants (artificial agents) (Dorigo, Maniezzo and Colorni, 1991). The artificial ants then collaborate with one another and with the environment. The collaboration leads to an emergent intelligence that helps solve complex practical optimization problems such as train schedules, finding optimal routes, etc.

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This essay presents an overview of how ants from nature deliver swarm intelligence, and how they are used to deliver the swarm intelligence in artificial systems. It also briefs how the derived AI model provides social benefits to humans and systems made for humans.

The general observation of the ant colonies is that the unsophisticated ants although blind can still jointly find out the shortest path between the food and their nest. Similar to many social insects, and communicates with each other through a volatile chemical substance called pheromone (Ahmed and Glasgow, 2012). The ants can sense the intensity and direction of the pheromones through their antennas. One of the different types of pheromones that the ant leaves behind is the food trail pheromone. Ants searching for food left behind the food pheromones which the other ants searching for food can use to follow to the food source. The self-organizing behaviour of ants is achieved through positive and negative feedback.

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