Towards Nature Inspired Predictive Analytics – Can Birds and Dolphins Help Humans Predict the Future?
Birds do not collide when they fly in flocks. We may wonder how they do not and how they flock in a self-organized and well-orchestrated movement. It is a collective intelligence that is encapsulated within the interactions between the birds and the environment. The cohesive self-organized movement of a biological swarm such as flocking birds is commonly studied. Such phenomena have had successful applications in robotics and autonomous vehicles, and it has attracted a renewed interest from the Artificial Intelligence and the Predictive Analytics communities. Social insects and animals such as ants, bees, birds, and dolphins can be viewed as a beautifully living intelligent problem-solving system that we can learn from to design new predictive analytics algorithms. This talk will give a survey of biologically inspired machine learning algorithms, from birds’ flocking behavior and dolphins’ echolocation to ant colonies pheromone communication, and other types of swarm intelligence. Prof. Anasse Bari will introduce a new predictive analytics paradigm inspired from Swarm Intelligence, what he refers to as “Nature-Inspired Predictive Analytics,” and he will explain a new theory of artificial swarms that can be applied in many domains such as manufacturing, logistics, energy and mobility.