Praveen Paruchuri, Emma Bowring, Ranjit Nair, Jonathan P. Pearce, Nathan Schurr, Milind Tambe, and Pradeep Varakantham. 2006. “Mutiagent Teamwork: Hybrid Approaches .” In Computer society of India Communications (Invited).
Today within the multiagent community, we see at least four
competing methods to building multiagent systems: beliefdesire-intention (BDI), distributed constraint optimization
(DCOP), distributed POMDPs, and auctions or game-theoretic methods. While there is exciting progress within each
approach, there is a lack of cross-cutting research. This article highlights the various hybrid techniques for multiagent
teamwork developed by the teamcore group. In particular,
for the past decade, the TEAMCORE research group has
focused on building agent teams in complex, dynamic domains. While our early work was inspired by BDI, we will
present an overview of recent research that uses DCOPs and
distributed POMDPs in building agent teams. While DCOP
and distributed POMDP algorithms provide promising results, hybrid approaches allow us to use the complementary
strengths of different techniques to create algorithms that
perform better than either of their component algorithms
alone. For example, in the BDI-POMDP hybrid approach,
BDI team plans are exploited to improve POMDP tractability, and POMDPs improve BDI team plan performance.