Logan, B., and Theodoropoulos, G. "The distributed simulation of multiagent systems," Proc. of the IEEE, Vol.89, Issue 2, pp. 174 --185, Feb. 2001.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....which consist of, perhaps many, interacting robots working together to perform a task. As the number of interacting robots increases, so does the overall dimension and complexity of the system. There have been many e#orts exploring high level planning and coordination between groups of robots [1] [2], 3] 4] 5] however, none of these attempted to directly exploit any of the symmetry properties of distributed systems. The aim of this work is to consider discrete symmetries to reduce the order of complexity of large scale distributed systems. In this paper, we consider the ....

R. Logan and S. Theodoropoulos. The distributed simulation of multiagent systems. In Proceedings of IEEE, volume 89, pages 174--185, 2001.

....which consist of, perhaps many, robots working together to perform a specified task. As the number of robots increases, so does the overall dimension and complexity of the system. There have been many efforts exploring high level planning and coordination between groups of robots [15] 4] 7] [8], 13] however, none of these attempted to directly exploit any of the symmetry properties that distributed systems may posses. The aim of this work is to consider discrete symmetries to reduce the order of complexity of large scale distributed systems. In this paper, we consider nonlinear ....

R. Logan and S. Theodoropoulos. The distributed simulation of multiagent systems. In Proceedings of IEEE, volume 89, pages 174--185, 2001.

....agent accesses external sources, e.g. databases, rollbacks seem no longer feasible. Often a pure discrete simulation does not suffice, and continuous and discrete simulation strategies are combined, e.g. to simulate robots. As agents move continuously through space so do their spheres of interest [19] and thus the regions they can and want to access. Strategies for a dynamic load balancing and for a dynamic re distribution of logical processes have to be developed to adapt the execution to the current needs. Thus, methods have to be developed that support the efficient execution of combined, ....

B. Logan and G. Theodoropolous. The Distributed Simulation of Multi-Agent Systems. Proceedings of the IEEE, 89(2):174--185, 2001.

....models are not a ected by incoming events they will be activated the next time when their own internal event is scheduled. To eciently test more than a single deliberative agent, which consumes signi cant space and computation resources, often a concurrent, distributed simulation proves bene cial [36]. Therefore, the processor tree realizes different execution strategies, whereas one adopts a conservative strategy where only processes which occur at exactly the same simulation time are processed concurrently [53] two other strategies split simulation and agent processes into di erent threads ....

....virtual world have been implemented in James [56] This approach renders an additional modeling of agents super uous, as they can be tested as they are. This plug and test has also been raised as a requirement in testing multi agent systems, e.g. in the contributions by Logan and Theodoropoulos [36] and Sarjoughian and his colleagues [49] In James, the entire Mole agents with their states can be plugged into the virtual world. Therefore, a conservative variant of the above optimistic strategy has been developed, which allows simulation and deliberation to proceed concurrently however ....

B. Logan and G. Theodoropolous. The Distributed Simulation of Multi-Agent Systems. Proceedings of the IEEE, 89(2):174-185, 2001.

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Logan, B. & Theodoropoulos, G. (n.d.), `The distributed simulation of multi-agent systems', Proceedings of the IEEE. Macedonia, M., Zyda, M., Pratt, D. & Barham, P. (1995), Exploiting reality with multicast groups: a network architecture for large-scale virtual environments, in `Virtual Reality Annual International Symposium', pp. 2--10.

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Logan, B., and Theodoropoulos, G. "The distributed simulation of multiagent systems," Proc. of the IEEE, Vol.89, Issue 2, pp. 174 --185, Feb. 2001.

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