Sistem multiagen (MAS: multi-agent system atau "sistem swaorganisasi") adalah sistem terkomputerisasi yang terdiri atas sejumlah agen cerdas yang saling berinteraksi.[1][2] Sistem multiagen mampu memecahkan masalah yang sulit atau bahkan mustahil diselesaikan oleh satu agen tunggal atau sistem monolitik.[3] Kecerdasan dalam sistem ini dapat mencakup pendekatan metodis, fungsional, prosedural, algoritme pencarian ataupun pembelajaran penguatan.[4] Dengan kemajuan dalam model bahasa besar (LLM), sistem multiagen berbasis LLM muncul sebagai bidang penelitian baru yang memungkinkan interaksi dan koordinasi yang lebih canggih di antara para agen.[5]
Meskipun memiliki banyak kesamaan, sistem multiagen tidak selalu sama dengan model berbasis agen (ABM: agent-based model). Tujuan dari ABM adalah mencari pemahaman penjelas mengenai perilaku kolektif agen-agen (tidak harus "cerdas") yang mengikuti seperangkat aturan sederhana, biasanya dalam sistem alami, alih-alih memecahkan masalah praktis atau rekayasa tertentu. Istilah ABM cenderung lebih sering digunakan dalam ranah sains, sementara MAS lebih lazim digunakan dalam bidang teknik dan teknologi.[6]
Beberapa penerapan di mana penelitian sistem multiagen dapat memberikan pendekatan yang tepat antara lain pada perdagangan daring,[7] penanggulangan bencana,[8][9] pengawasan target,[10] serta pemodelan struktur sosial.[11]
Referensi
- ↑ Yoav Shoham, Kevin Leyton-Brown. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press, 2009. http://www.masfoundations.org/
- ↑ H. Pan; M. Zahmatkesh; F. Rekabi-Bana; F. Arvin; J. Hu "T-STAR: Time-Optimal Swarm Trajectory Planning for Quadrotor Unmanned Aerial Vehicles" IEEE Transactions on Intelligent Transportation Systems, 2025.
- ↑ Hu, J.; Turgut, A.; Lennox, B.; Arvin, F., "Robust Formation Coordination of Robot Swarms with Nonlinear Dynamics and Unknown Disturbances: Design and Experiments" IEEE Transactions on Circuits and Systems II: Express Briefs, 2021.
- ↑ Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer. Multi-Agent Reinforcement Learning: Foundations and Modern Approaches. MIT Press, 2024. https://www.marl-book.com/
- ↑ Li, Guohao (2023). "Camel: Communicative agents for "mind" exploration of large language model society" (PDF). Advances in Neural Information Processing Systems. 36: 51991–52008. arXiv:2303.17760. S2CID 257900712.
- ↑ Niazi, Muaz; Hussain, Amir (2011). "Agent-based Computing from Multi-agent Systems to Agent-Based Models: A Visual Survey" (PDF). Scientometrics. 89 (2): 479–499. arXiv:1708.05872. doi:10.1007/s11192-011-0468-9. hdl:1893/3378. S2CID 17934527.
- ↑ Rogers, Alex; David, E.; Schiff, J.; Jennings, N.R. (2007). "The Effects of Proxy Bidding and Minimum Bid Increments within eBay Auctions". ACM Transactions on the Web. 1 (2): 9–es. CiteSeerX 10.1.1.65.4539. doi:10.1145/1255438.1255441. S2CID 207163424. Diarsipkan dari asli tanggal 2 April 2010. Diakses tanggal 18 Maret 2008.
{{cite journal}}: Kutipan menggunakan parameter usang|citeseerx=Pemeliharaan CS1: Tanggal diterjemahkan otomatis (link) - ↑ Schurr, Nathan; Marecki, Janusz; Tambe, Milind; Scerri, Paul; Kasinadhuni, Nikhil; Lewis, J.P. (2005). "The Future of Disaster Response: Humans Working with Multiagent Teams using DEFACTO". Diarsipkan (PDF) dari versi aslinya tanggal 3 Juni 2013. Diakses tanggal 8 Januari 2024.
- ↑ Genc, Zulkuf; et al. (2013). "Agent-Based Information Infrastructure for Disaster Management" (PDF). Intelligent Systems for Crisis Management. Lecture Notes in Geoinformation and Cartography. hlm. 349–355. doi:10.1007/978-3-642-33218-0_26. ISBN 978-3-642-33217-3.
- ↑ Hu, Junyan; Bhowmick, Parijat; Lanzon, Alexander (2020). "Distributed Adaptive Time-Varying Group Formation Tracking for Multiagent Systems With Multiple Leaders on Directed Graphs". IEEE Transactions on Control of Network Systems. 7: 140–150. doi:10.1109/TCNS.2019.2913619. S2CID 149609966.
- ↑ Sun, Ron; Naveh, Isaac (30 Juni 2004). "Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model". Journal of Artificial Societies and Social Simulation.
Bacaan lanjutan
- Wooldridge, Michael (2002). An Introduction to MultiAgent Systems. John Wiley & Sons. hlm. 366. ISBN 978-0-471-49691-5.
- Shoham, Yoav; Leyton-Brown, Kevin (2008). Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press. hlm. 496. ISBN 978-0-521-89943-7.
- Mamadou, Tadiou Koné; Shimazu, A.; Nakajima, T. (Agustus 2000). "The State of the Art in Agent Communication Languages (ACL)". Knowledge and Information Systems. 2 (2): 1–26.
{{cite journal}}: Pemeliharaan CS1: Tanggal diterjemahkan otomatis (link) - Hewitt, Carl; Inman, Jeff (Nov–Des 1991). "DAI Betwixt and Between: From "Intelligent Agents" to Open Systems Science" (PDF). IEEE Transactions on Systems, Man, and Cybernetics. 21 (6): 1409–1419. doi:10.1109/21.135685. S2CID 39080989. Diarsipkan dari asli (PDF) tanggal 2017-08-31.
{{cite journal}}: Pemeliharaan CS1: Tanggal diterjemahkan otomatis (link) - The Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS)
- Weiss, Gerhard, ed. (1999). Multiagent Systems, A Modern Approach to Distributed Artificial Intelligence. MIT Press. ISBN 978-0-262-23203-6.
- Ferber, Jacques (1999). Multi-Agent Systems: An Introduction to Artificial Intelligence. Addison-Wesley. ISBN 978-0-201-36048-6.
- Weyns, Danny (2010). Architecture-Based Design of Multi-Agent Systems. Springer. ISBN 978-3-642-01063-7.
- Sun, Ron (2006). Cognition and Multi-Agent Interaction. Cambridge University Press. ISBN 978-0-521-83964-8.
- Keil, David; Goldin, Dina (2006). Weyns, Danny; Parunak, Van; Michel, Fabien (ed.). Indirect Interaction in Environments for Multiagent Systems. LNCS 3830. Vol. 3830. Springer. hlm. 68–87. doi:10.1007/11678809_5. ISBN 978-3-540-32614-4.
{{cite book}}:|journal=diabaikan - Whitestein Series in Software Agent Technologies and Autonomic Computing, published by Springer Science+Business Media Group
- Salamon, Tomas (2011). Design of Agent-Based Models : Developing Computer Simulations for a Better Understanding of Social Processes. Bruckner Publishing. ISBN 978-80-904661-1-1.
- Templat:Russell Norvig 2003
- Fasli, Maria (2007). Agent-technology for E-commerce. John Wiley & Sons. hlm. 480. ISBN 978-0-470-03030-1.
- Cao, Longbing, Gorodetsky, Vladimir, Mitkas, Pericles A. (2009). Agent Mining: The Synergy of Agents and Data Mining, IEEE Intelligent Systems, vol. 24, no. 3, 64-72.
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