BDI Agents with Fuzzy Associative Memory for Vessel Berthing in Container Ports

Faster turnaround time of the vessels in berths has direct impact on the improvement of terminals productivity. The need for an intelligent system that dynamically adapts to the changing environment is apparent, as there is limited number of berths and resources available in container terminals for delivering services to vessels. BDI (Beliefs, Desires and Intentions) agents are being proposed in a complex collaborative environment in the vessel scheduling assuring better management and control in the terminal. BDI agents to deal with many criteria and different goals with uncertain beliefs, it is proposed that fuzzy associative memory to use in the planning process of the BDI architecture facilitating better decision making in the whole process. In this paper we propose hybrid BDI architecture with fuzzy associative memory in handling uncertainty issues of the vessel berthing in container terminals. Execution of Plans in a collaborative multi agent environment would be strengthened with the introduction of fuzzy associative memory in BDI agents.