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

Abstract

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