O-MaSE: a customisable approach to designing and building complex, adaptive multi-agent systems
By Scott A. DeLoach, Juan C. García-Ojeda. 2010
95 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Management Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Chongjie Zhang
- Tonghan Wang
- Bei Peng
- Shimon Whiteson
- Heng Dong
- Anuj Mahajan
- Tarun Gupta
- Victor R. Lesser
In Computer Networks and Communications
- Tonghan Wang
- Chongjie Zhang
- Shimon Whiteson
- Heng Dong
- Victor R. Lesser
- Bei Peng
- Vincent Hilaire
- Massimo Cossentino
In Management Information Systems
Citations in the corpus
- RODE: Learning Roles to Decompose Multi-Agent Tasks (2020, background): “…the task and specializing agents with the same role to certain sub-tasks (Wooldridge et al., 2000; Omicini, 2000; Padgham & Winikoff, 2002; Pav´on & G´omez-Sanz, 2003; Cossentino et al., 2005; Zhu & Zhou, 2008; Spanoudakis & Moraitis, 2010; DeLoach & Garcia-Ojeda, 2010; Bonjean et al., 2014).”
- ROMA: Multi-Agent Reinforcement Learning with Emergent Roles (2020, background): “…specialize in certain sub-tasks, and thus reduce the design complexity (Wooldridge et al., 2000; Omicini, 2000; Padgham & Winikoff, 2002; Pav ´ on & G ´ omez-Sanz, 2003; Cossentino et al., 2005; Zhu & Zhou, 2008; Spanoudakis & Moraitis, 2010; DeLoach & Garcia-Ojeda, 2010; Bonjean et al., 2014).”
- Handbook on Agent-Oriented Design Processes (2014, methodology): “Adaptable Multi-Agent Systems: The Case of the Gaia Methodology [4].”