The Development of a Service System for Facilitating Food Resource Allocation and Service Exchange

To address the current limitation of Alternative Food Networks (AFNs) in tackling urban–rural sustainability issues, this study proposes a Cooperative Human-Agent Service System (CHASS) by leveraging decentralized communication and coordination capability multi-agent system. The unique feature CHASS is collaboration between humans agents for real-world deployment. From perspective Service-Dominant Logic (S-DL), value co-created involved actors through service exchange; that is, one actor’s exchanges other one’s service. With S-DL, technology treated as an essential actant resource integration, customer co-creator. In study, we propose two-phase top trading cycle (TTC) negotiation mechanism to facilitate food allocation exchange. An agent-based model developed simulate environment integrated with form simulation system evaluation. addition, generalize research outcomes, use regression analysis clarify interaction algorithms applied platform human decisions under moderation environmental factors. results show effectiveness TTC-Negotiation support customers providers on CHASS. It shows applicability cooperative AFNs model.