Osher Yadgar

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Cooperation among autonomous agents has been discussed in the DAI community for several years. Papers about cooperation [6,45], negotiation [33], distributed planning [5], and coalition formation [28,48], have provided a variety of approaches and several algorithms and solutions to situations wherein cooperation is possible. However, the case of cooperation(More)
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)
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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)
A framework for cooperative goal-satisfaction in large-scale MultiAgent 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)
One major issue currently preventing the adoption of autonomous unmanned air vehicles (UAVs) is the lack of airspace management to prevent the UAVs from colliding with each other, with human-piloted planes or helicopters, with static objects such as buildings, and with dynamic flying objects such as flocks of birds. In this work, we present a novel airspace(More)
As technology advances, unmanned aerial vehicles (UAVs) are capable of more complex missions. Miniaturization results in a migration of capability from larger to smaller UAV platforms and in cost reduction. According to the DoDs Unmanned Aircraft Systems Roadmap 2005-2030, military UAVs are now required to execute intelligence, surveillance, reconnaissance,(More)
We introduce the Consensual N-Player Prisoner’s Dilemma as a large-scale dilemma. We then present a framework for cooperative consensus formation in large-scale MAS under the N-Person Prisoner’s Dilemma. Forming consensus is performed by demonstrating the applicability of a low-complexity physics-oriented approach to a large-scale ad hoc network problem.(More)