Abstract
Artificial intelligent techniques provide different kind of searching methods in tree structure and those methods are implemented sequential and parallel manner using structured programming. Depth-first search is a tree search algorithm which enables the traversal from source node to neighbour nodes adjacent to source node in a graph and implemented sequentially in this fashion. The improvement of the sequential Depth-first search is sought in several research studies. One of the solutions to the improvement of Depth-first search is the design of multi agent system for the searching problem. In this research study, the proposed multi agent system for Depth-first search divides the entire graph into several clusters using bi-connected region method and consigns the agents to each cluster to perform the Depth-first search sequentially. The proposed method reveals the significance improvement in terms of the performance measure of the system than sequential Depth-first search.
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