New PDF release: Cisco IOS(TM) Software Quality of Service Solutions

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Sample text

The key difference with all this prior work is our use of stochastic models (RMTDPs) to evaluate allocations: this enables us to compute the benefits of role allocation, taking into account uncertainty and costs of reallocation upon failure. For example, in the mission rehearsal domain, if uncertainties were not considered, just one scout would have been allocated, leading to costly future reallocations or even in mission failure. Instead, with lookahead, depending on the probability of failure, multiple scouts were sent out on one or more routes, resulting in fewer future reallocations and higher expected reward.

1 do 4: if component i has a preceding component j then 5: Obtain start states, states[i] ← endStates[j] 6: states[i] ← removeIrrelevantFeatures(states[i]) {discard features not present in Si } 7: Obtain corresponding observation histories at start OHistories[i] ← endOHistories[j] 8: OHistories[i] ← removeIrrelevantObservations(OHistories[i]) 9: else 10: Obtain start states, states[i] 11: Observation histories at start OHistories[i] ← null 12: maxEval[i] ← 0 13: for all leaf-level policies π under parent do 14: maxEval[i] ← max(maxEval[i], maxsi ∈states[i],ohi ∈OHistories[i] (Evaluate(RM T DPi , si , ohi , π))) + 15: MAXEXP[parent] ← maxEval[i] Similarly, the starting observation histories for a component are the observation histories on completing the preceding component (no observation history for the very first component).

In Proceedings of the 2002 ACM Symposium on Applied Computing (SAC-02), pages 57–62, 2002. 6. P. R. Cohen and H. J. Levesque. Teamwork. Nous, 25(4):487–512, 1991. 7. J. L. T. da Silva and Y. Demazeau. Vowels co-ordination model. In Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2002), pages 1129–1136, 2002. 8. T. Dean and S. H. Lin. Decomposition techniques for planning in stochastic domains. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI-95), pages 1121–1129, 1995.

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Cisco IOS(TM) Software Quality of Service Solutions

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