Prometheus: a methodology for developing intelligent agents
By Lin Padgham, Michael Winikoff. 2002
522 citations recorded by the source corpus.
Subfields: Artificial Intelligence
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
- Anuj Mahajan
- Tarun Gupta
- Juan C. García-Ojeda
- Scott A. DeLoach
Citations in the corpus
- RODE: Learning Roles to Decompose Multi-Agent Tasks (2020, methodology): “…design complexity by decomposing 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 &…”
- O-MaSE: a customisable approach to designing and building complex, adaptive multi-agent systems (2010, background): “Goal models are widespread in many agent-oriented methodologies (DeLoach et al., 2001; Giorgini et al., 2005; Padgham and Winikoff, 2002).”
- Environments for Multiagent Systems State-of-the-Art and Research Challenges (2004, methodology): “Popular methodologies such as Message [42], Prometheus [58] or Tropos [70] offer support for some basic elements of the environment, however they do not consider the environment as a first class entity.”