How can customer-led task allocation optimize satellite services?
Task Allocation in Customer-led Two-sided Markets with Satellite Constellation Services
January 24, 2025
https://arxiv.org/pdf/2501.13364This paper proposes a customer-led task allocation model for two-sided markets (e.g., satellite imagery services) where customers (leaders) submit tasks and companies (followers) form teams to fulfill them. This contrasts with traditional models where companies set prices first. The model uses a Stackelberg game, showing improved efficiency through group buying (customers) and team formation (companies). Experiments demonstrate significant cost savings for customers and increased revenue for companies.
Key points for LLM-based multi-agent systems:
- Customer-led Dynamics: This model flips the traditional Stackelberg game, emphasizing customer agency, which is relevant to many LLM agent applications.
- Dynamic Team Formation: Companies form teams based on service overlap and costs, a concept applicable to cooperative LLM agents.
- Negotiation and Task Allocation: The minimum price task allocation mechanism could be replaced with more sophisticated LLM-based negotiation protocols.
- Group Buying & Collaboration: The group buying strategy for customers illustrates potential for collaborative LLM agent behavior.
- Decentralized Market: The model simulates a decentralized market where agents interact to find optimal solutions, mirroring the vision of many multi-agent LLM systems.