This document discusses bio-inspired computing as a problem solving technique. It begins by defining bio-inspired algorithms as those inspired by natural systems like ant colonies, bee swarms, and bird flocks. These algorithms are bottom-up, decentralized, adaptive, reactive, and distributed. The document then provides an example of applying the biological phenomenon of haptotaxis, or cell migration, to develop a location search algorithm for peer-to-peer networks. This bio-inspired algorithm, called Hapto-search, guides the search towards nodes with key identifiers closer to the target based on Hamming distance. While this approach mimics how biological systems solve problems, it has some limitations like getting stuck in local minima that need