International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Multiple researchers have developed fuzzy logic-based active and reactive controllers in multi-agent systems to help agents act intelligently. Some researchers have been adding the PageRank Algorithm into the fuzzy logic controller in robot soccer during the evolutionary process. It is known that the PageRank Algorithm is focused on the selection of a website to search by means of hyperlinks; popular websites are commonly selected by more users because they usually contain good content. Taking the PageRank Algorithm idea, we will develop a new agent selection method in multi-agent systems.
Multi-agent system definition MAS can be defined as a society of agents that interact with one another according to certain rules in order to accomplish some sets of goals autonomously. In a multi-agent system, four types of agent interactions can be established: Interaction, Coordination, Collaboration, and Coalition. These types of interactions are explained in the work of Wooldridge (2002). According to Omicini et al., the cooperation and coordination capabilities inside the multi-agent systems have been improving through the use of new technologies, like the Java language. For instance, the Java Agent Development framework can be used to develop a multi-agent system from Java beans.

Key Words: Fuzzy logic, Page Rank, Multi-Agent Systems, JADE, Agent Communication, Agent Selection

Downloads: | DOI: 10.17148/IJARCCE.2025.1411111