The Open Agent Architecture
By Adam Cheyer, David L. Martin. Autonomous Agents and Multi-Agent Systems, 2001
417 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/45dbf1a9971120c3ac9ae0ea5b2868e77796d1ad
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
- Oliver Lemon
- Olivier Pietquin
- James Henderson
- Tom Holvoet
- Danny Weyns
- Geert-Jan M. Kruijff
- Henrik Iskov Christensen
- Hendrik Zender
Citations in the corpus
- Environments for Multiagent Systems State-of-the-Art and Research Challenges (2004, methodology): “The Retsina-OAA InterOperator on top of the Retsina MAS architecture bridges the Retsina MAS infrastructure with the OAA platform (Open Agent Architecture) [18].”
- Events Detection for an Audio-Based Surveillance System (2005, neutral): “[15].”
- Developing intelligent agent systems - a practical guide (2004, background): “Examples: JADE11, Zeus12, OAA13 (Cheyer and Martin 2001)”
- A General, Abstract Model of Incremental Dialogue Processing (2009, neutral): “, CORBA,15 ICE,16 OAA (Cheyer and Martin, 2001), and many more).”
- Hybrid Reinforcement/Supervised Learning of Dialogue Policies from Fixed Data Sets (2008, methodology): “The annotation system is implemented using DIPPER (Bos et al. 2003) and OAA (Cheyer and Martin 2001), using several OAA agents (see Georgila, Lemon, and Henderson, 2005, and Georgila et al., submitted, for more details).”
- Situated Dialogue and Spatial Organization: What, Where… and Why? (2007, methodology): “The communication subsystem has been implemented as a distributed architecture using the Open Agent Architecture (Cheyer & Martin, 2001).”
- Data-Driven Methods for Adaptive Spoken Dialogue Systems (2012, methodology): “Thus, the required size of data set depends on the complexity of the learning problem, as well as the chosen approach and required accuracy of the user simulations–a problem which is also described as the “triple trade-off problem” [7].”