Personal Perspective on MAS based on this research path
Agent Flexibility in Open Environments
- Agents need to be able to adapt their local problem solving to the available resources and goals of the system.
- Long-term learning needs to be an integral part of an agent architecture
- Agents not restricted to solving one goal at a time but may flexibly interleave their activities to solve multiple goals concurrently
- Error resolution/management needs to be integral part of agent problem solving
Satisficing control
- Less than optimal but still acceptable levels of coordination among agents is traded off for a significant reduction in computational costs to implement cooperative control.
- Emphasis on satisficing behavior subtly moves the focus from the performance of individual agents to the properties and character of the aggregate behavior of agents.