{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T22:22:14Z","timestamp":1775082134474,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819584192","type":"print"},{"value":"9789819584208","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-8420-8_19","type":"book-chapter","created":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:13:44Z","timestamp":1775074424000},"page":"241-254","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-agent System Architectures Comparison: A Use Case in\u00a0Telecom Customer Service"],"prefix":"10.1007","author":[{"given":"Weiwei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangyao","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanning","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianwei","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changming","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wanglei","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,2]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Li, X., Wang, S., Zeng, S., Wu, Y., Yang, Y.: A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges. In: Vicinagearth (2024)","DOI":"10.1007\/s44336-024-00009-2"},{"key":"19_CR2","unstructured":"Guo, T., Chen, X., Wang, Y., et al.: Large language model based multi-agents: a survey of progress and challenges. arXiv:2402.01680 (2024)"},{"key":"19_CR3","unstructured":"Chen, S., Liu, Y., Han, W., Zhang, W., Liu, T.: A survey on llm-based multi-agent system: recent advances and new frontiers in application. arXiv:2412.17481 (2024)"},{"key":"19_CR4","unstructured":"Schick, T., Dwivedi-Yu, J., Dess\u00ec, R., et al.: Toolformer: language models can teach themselves to use tools. In: Advances in Neural Information Processing Systems (2023)"},{"key":"19_CR5","unstructured":"Yao, S., Zhao, J., Yu, D., et al.: ReAct: synergizing reasoning and acting in language models. In: International Conference on Learning Representations (ICLR) (2022). arXiv:2210.03629"},{"key":"19_CR6","unstructured":"Wu, Q., Bansal, G., Zhang, J., et al.: AutoGen: enabling next-gen LLM applications via multi-agent conversation. In: First Conference on Language Modeling (2024)"},{"key":"19_CR7","unstructured":"Li, G., Hammoud, H., Itani, H., et al.: CAMEL: communicative agents for \u201cMind\u201d exploration of large language models. In: Advances in Neural Information Processing Systems (2023)"},{"key":"19_CR8","unstructured":"Hong, S., Zhuge, M., Chen, J., et al.: MetaGPT: meta programming for multi-agent collaborative framework. In: The Twelfth International Conference on Learning Representations (2023)"},{"key":"19_CR9","unstructured":"LangGraph\u2014Build resilient language agents as stateful workflows. GitHub repository (2025). https:\/\/github.com\/langchain-ai\/langgraph. Accessed 9 Aug 2025"},{"key":"19_CR10","doi-asserted-by":"crossref","unstructured":"Maldonado, D., Cruz, E., Torres, J., et al.: Multi-agent systems: a survey about its components, framework and workflow. IEEE Access (2024)","DOI":"10.1109\/ACCESS.2024.3409051"},{"key":"19_CR11","unstructured":"Huang, X., et al.: Understanding the planning of LLM agents: a survey. arXiv:2402.02716 (2024)"},{"key":"19_CR12","unstructured":"Zhang, W., Cui, C., Zhao, Y., et al.: Agentorchestra: a hierarchical multi-agent framework for general-purpose task solving arXiv:2506.12508 (2025)"},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Liu, J., Wu, K., Zhang, Y., et al.: LLM-powered hierarchical language agent for real-time human-AI coordination. arXiv:2312.15224 (2023)","DOI":"10.65109\/ZDXP6361"},{"key":"19_CR14","doi-asserted-by":"crossref","unstructured":"Qu, C., et al.: Tool learning with large language models: a survey. Front. Comput. Sci. 19(8), 198343 (2025)","DOI":"10.1007\/s11704-024-40678-2"},{"key":"19_CR15","unstructured":"Han, B., Zhang, S.: Exploring advanced LLM multi-agent systems based on blackboard architecture. arXiv:2507.01701 (2025)"},{"key":"19_CR16","unstructured":"Han, B., Zhang, S.: Exploring advanced LLM multi-agent systems based on blackboard architecture. arXiv preprint arXiv:2507.01701 (2025)"},{"key":"19_CR17","unstructured":"Chen, Z., Liu, Y.: A new decentralized Multi-agent System for Peer-to-Peer energy market considering variable prosumer penetration with privacy protection. Sustain. Energy Grids Netw. (2024)"},{"key":"19_CR18","unstructured":"Yan, B., et al.: Beyond self-talk: a communication-centric survey of llm-based multi-agent systems. arXiv:2502.14321 (2025)"},{"key":"19_CR19","unstructured":"Du, Y., Li, S., Torralba, A., Tenenbaum, J., Mordatch, I.: Improving factuality and reasoning in language models through multiagent debate. In: Forty-first International Conference on Machine Learning (2023)"},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Liang, T., He, Z., Jiao, W., et al.: Encouraging divergent thinking in large language models through multi-agent debate. arXiv:2305.19118 (2023)","DOI":"10.18653\/v1\/2024.emnlp-main.992"}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-8420-8_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:13:49Z","timestamp":1775074429000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-8420-8_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819584192","9789819584208"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-8420-8_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Authors Jianwei Fang and Hanning Zhang are the chairs of the SAID-Eco 2025 workshop committee.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ICA3PP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Algorithms and Architectures for Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhengzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ica3pp2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ieee-cybermatics.org\/2025\/ica3pp\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}