Multi-agent planning (MAP) approaches are typically oriented at solvingloosely-coupled problems, being ineffective to deal with more complex,strongly-related problems. In most cases, agents work under completeinformation, building complete knowledge bases. The present article introducesa general-purpose MAP framework designed to tackle problems of any couplinglevels under incomplete information. Agents in our MAP model are partiallyunaware of the information managed by the rest of agents and share only thecritical information that affects other agents, thus maintaining a distributedvision of the task.
展开▼
