From Agents to Organizations: An Organizational View of Multi-agent Systems
By Jacques Ferber, Olivier Gutknecht, Fabien Michel. International Workshop on Agent-Oriented Software Engineering, 2003
777 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/c1ca551e684983d5e9c11f8432122c64b204d8f5
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
- Heng Dong
- Juan C. García-Ojeda
- Scott A. DeLoach
- Victor R. Lesser
- Massimo Cossentino
- Valeria Seidita
Citations in the corpus
- Environments for Multiagent Systems State-of-the-Art and Research Challenges (2004, background): “[23][84] or the environment can be structured as an intermediating entity as e.”
- Environment as a first class abstraction in multiagent systems (2007, background): “[24] make a distinction between agent-centered MAS and organization-centered MAS.”
- O-MaSE: a customisable approach to designing and building complex, adaptive multi-agent systems (2010, methodology): “Therefore, OAs represent an extension to the traditional agent-group-role (AGR) model (Ferber and Gutknecht, 1998; Ferber et al., 2003) and the organisational meta-model proposed by Odell et al.”
- Handbook on Agent-Oriented Design Processes (2014, methodology): “In particular, ELDAMeth has been integrated with Gaia [11], PASSI [4], and MCP [9] by using a process-driven method engineering approach [3].”
- ROMA: Multi-Agent Reinforcement Learning with Emergent Roles (2020, background): “However, these works exploit prior domain knowledge to decompose tasks and predefine the responsibilities of each role, which prevents role-based MAS from being dynamic and adaptive to uncertain environments.”