Cooperative large scale mobile agent systems

O Yadgar, C. L Ortiz Jr, S Kraus, E Sharabi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We consider environments that consist of a large set of relatively cheap and simple agents and a large set of objects. The agents should track the objects and identify how the objects' states change over time. Since the agents are simple, it is very difficult for an individual agent to track an object by itself. Thus, the agents must cooperate and exchange information in order to succeed in their tasks. The problem becomes even more difficult when agents can collect only partial information about nearby tasks obtained by possibly noisy sensors. We propose the Distributed Dispatcher Manager (DDM) system that organizes teams hierarchically to solve such largescale problems. We show that using large numbers of simple agents may be more beneficial than small numbers of so scalability for very large task and agent roblem domains• . Large-scale agent systems, scalability and complexity issues. ents and urban traffic controls may study drivers' be large-scale • ive at a better local assessment • given phisticated ones. DDM addresses three important issues: (i) how the agents should be distributed over an area, (ii) how agents should process local information, derived from possible noisy sensors, to provide a partial solution to nearby tasks, and (iii) how partial solutions should be integrated into a global solution. DDM's contributions include: (1) realtime processes for combining partial results to form an accurate global solution, (2) increased system fault tolerance, and (3
Original languageAmerican English
Title of host publicationThe Autonomous Intelligent Networks and Systems Symposium
StatePublished - 2003

Bibliographical note

Place of conference:USA


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