Osher Yadgar

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We present a system called the Distributed Dispatcher Manager (DDM) for effectively managing very large-scale networks of thousands of sensor agents and thousands of objects. DDM makes use of a hierarchical team organization in which the solution process is distributed into smaller fragments of problems that can be solved partially by simple agents. We(More)
Cooperation among autonomous agents has been discussed in the DAI community for several years. Papers about cooperation 6,455, negotiation 333, distributed planning 55, and coalition formation 28,488, have provided a variety of approaches and several algorithms and solutions to situations wherein cooperation is possible. However, the case of cooperation in(More)
  • Charles L Ortiz, Eric Hsu, Marie Desjardins, Timothy Rauenbusch, Barbara Grosz, Osher Yadgar +1 other
  • 2001
We explore a class of task allocation mechanisms that are incremental and can be tuned to the computational resource limitations of agents. Our focus is on distributed task and resource allocation problems involving coalitions of cooperative agents that must negotiate among themselves on the distribution of tasks. Our emphasis is on the design of mechanisms(More)
A framework for cooperative goal-satisfaction in large-scale Multi-Agent Systems (MAS) is presented in this paper. This is performed by demonstrating the applicability of a low complexity physics-oriented approach to a large-scale transportation problem. The framework is based on modeling cooperative MAS by a physics-oriented model. According to the model,(More)
In this paper, we describe the Distributed Dispatcher Manager (DDM), a system for monitoring large collections of dynamically changing tasks. We assume that tasks are distributed over a virtual space. Teams consist of very large groups of cooperative mobile agents. Each agent has direct access to only local and partial information about its immediate(More)
In this paper, we describe the Distributed Dispatcher Manager (DDM), a system for managing resource in very large-scale task and resource domains. In DDM, resources are modeled as cooperative mobile teams of agents and objects or tasks are assumed to be distributed over a virtual space. Each agent has direct access to only local and partial information(More)
—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(More)