Nature has great examples of non-human intelligence. One of them happens to be the Bubble Net Hunting of the Humpback Whales. I highly recommend watching a video of this magnificent behavior before reading this paper.
Stacey Hala, Howard J. Hamilton, and Paolo Domenici
We describe the BNH-Whale algorithm, which simulates a method of catching schooling fish employed by humpback whales called bubble net hunting. When this method is used, the fish are herded into a net of bubbles created by one or more whales. Modified flocking algorithms are used to guide whale and fish behaviour, with a relatively complex algorithm being used by the whales to trap and consume fish.
The paper intends to simulate the BNH behavior of the Humpback Whales using a decision-based model. The benefit of this practice is to allow biologists to investigate this phenomenon without disturbing it. It never occurred to me that one application of nature-inspired computational models is to actually study the behavior itself! It was mind-blowing indeed.
As I am reading the paper, I couldn’t stop myself from imagining this model implemented in a game engine such as Unity. It won’t only give a better presentation to the biologists, but it will also allow them to interact directly with the model and watch how it reacts to their changes in a 3D environment. Clearly, this could be a future work on this research.
The paper can be accessed at: http://www2.cs.uregina.ca/~hamilton/papers/conferences/hhdCANAI2016.pdf