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Author Jung, Hyuckchul ♦ Tambe, Milind
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Large Group ♦ Several Way ♦ Right Coordination ♦ Multiagent Literature ♦ Significant Impact ♦ Performance Model ♦ Large Scale Multiagent System ♦ Observable Markov Decision Process ♦ Larger-scale Multiagent System ♦ Using Distributed Pomdp Building Block ♦ Small Group ♦ Performance Prediction ♦ Small-scale Model ♦ Markov Team Decision Process ♦ Cooperative Agent ♦ Building Block ♦ Local Interaction ♦ Right Strategy ♦ Conflict Resolution Strategy
Description Proceedings of the Second Joint Conference on Autonomous Agents and Multi-Agent Systems
Given a large group of cooperative agents, selecting the right coordination or conflict resolution strategy can have a significant impact on their performance (e.g., speed of convergence). While performance models of such coordination or conflict resolution strategies could aid in selecting the right strategy for a given domain, such models remain largely uninvestigated in the multiagent literature. This paper takes a step towards applying the recently emerging distributed POMDP (partially observable Markov decision process) frameworks, such as MTDP (Markov team decision process), in service of creating such performance models. To address issues of scale-up, we use small-scale models, called building blocks that represent the local interaction among a small group of agents. We discuss several ways to combine building blocks for performance prediction of a larger-scale multiagent system.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2003-01-01