Agent based simulation architecture for evaluating operational policies in transshipping containers
Autonomous Agents and Multi-Agent Systems
Shared learning vector quantization in a new agent architecture for intelligent deliberation
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
FRIENDs: Brain-monitoring agents for adaptive socio-technical systems
Multiagent and Grid Systems
| Hi-index | 0.00 |
Vessel berthing system in a container terminal is regarded as a very complex dynamic application in today' business world. We propose a new extended BDI framework with an intelligent module for handling complex situations. Change rate of beliefs (驴) and expected cost of reaching the final goal state from different states in the plan hierarchy have been considered by the agent in the proposed architecture. This would enable agents to identify the alternative plans in the intention structure with the change of the environment. Dynamic selection of plans and expected cost of achieving the final goal state from various plan paths are modeled with the use of a supervised neural network. Adaptive neuro fuzzy inference system (ANFIS) has been incorporated in making the final rational decisions in the agent model.