A survey of multi-agent organizational paradigms
By Bryan Horling, Victor R. Lesser. 2004
752 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Marketing
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
- George Dimitri Konidaris
- Chris Amato
- Leslie Pack Kaelbling
- Juan C. García-Ojeda
- Dipti Srinivasan
- P. Balaji
- Adrian Weller
- Scott A. DeLoach
In Management Science and Operations Research
- Matt Andrews
- M. Woolcock
- Chris Amato
- Juan C. García-Ojeda
- Ahmed Hussein
- Dipti Srinivasan
- Adrian Weller
- Leslie Pack Kaelbling
In Marketing
Citations in the corpus
- Challenges for Transparency (2017, background): “Different paradigms of multi-agent organization should be explored (Horling and Lesser, 2004).”
- O-MaSE: a customisable approach to designing and building complex, adaptive multi-agent systems (2010, methodology): “, 2008) and includes notions that allow for hierarchical, holonic, and team-based decomposition of organisations (Horling and Lesser, 2004).”
- Building State Capability: Evidence, Analysis, Action (2017, background): “This expectation of effective downward authorization is often not met, however, and the authorization falls short of what one needs or hopes for (Horling and Lesser 2004; Nutt 1986).”
- Transparency: Motivations and Challenges (2017, background): “ direction, looking for ways to enable multiple agents to cooperate effectively (Evtimova et al., 2017; Mordatch and Abbeel, 2017). Different paradigms of multi-agent organization should be explored (Horling and Lesser, 2004). One motivation is the goal of AI agents which can autonomously generate fl”
- An Introduction to Multi-Agent Systems (2010, background): “A detailed description of these architectures, their formation and characteristics may be found in [34].”
- Multi-robot Task Allocation: A Review of the State-of-the-Art (2015, background): “The advantages of this type include the reduction of duplication of effort, resources, and increased savings of cost and time [29].”
- Planning with macro-actions in decentralized POMDPs (2014, background): “While many hierarchical approaches have been developed for multiagent systems [15], very few are applicable to multiagent models based on MDPs and POMDPs.”