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Verwer, S. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
conference paper 2010
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De Weerdt, M.M. (author), Bos, A. (author), Tonino, J.F.M. (author), Witteveen, C. (author)
The promise of multi-agent systems is that multiple agents can solve problems more efficiently than single agents can. In this paper we propose a method to implement cooperation between agents in the planning phase, in order to achieve more cost-effective solutions than without cooperation. Two results are presented: First of all, we introduce a...
conference paper 2000
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De Weerdt, M.M. (author), Tonino, J.F.M. (author), Witteveen, C. (author)
In this paper we will use the framework to study cooperative heuristic multi-agent planning. During the construction of their plans, the agents use a heuristic function inspired by the FF planner (l3l). At any time in the process of planning the agents may exchange available resources, or they may request an agent to produce a missing resource....
conference paper 2001
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Witteveen, J.A.S. (author), Bijl, H. (author)
An efficient uncertainty quantification method for unsteady problems is presented in order to achieve a constant accuracy in time for a constant number of samples. The approach is applied to the aeroelastic problems of a transonic airfoil flutter system and the AGARD 445.6 wing benchmark with uncertainties in the flow and the structure.
conference paper 2009
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Verwer, S.E. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
We advocate the use of an explicit time representation in syntactic pattern recognition because it can result in more succinct models and easier learning problems. We apply this approach to the real-world problem of learning models for the driving behavior of truck drivers. We discretize the values of onboard sensors into simple events. Instead...
conference paper 2011
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Witteveen, J.A.S. (author), Bijl, H. (author)
A robust and efficient uncertainty quantification method is presented for resolving the effect of uncertainty on the behavior of multi-physics systems. The extrema diminishing method in probability space maintains a bounded error due to the interpolation of deterministic samples at constant phase in a transonic airfoil flutter problem.
conference paper 2009
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De Weerdt, M.M. (author), Witteveen, C. (author)
conference paper 2001
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Wilson, M. (author), Witteveen, C. (author), Huisman, B. (author)
conference paper 2012
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Wu, M. (author), De Weerdt, M.M. (author), La Poutré, H. (author), Yadati, C. (author), Zhang, Y. (author), Witteveen, C. (author)
conference paper 2009
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Witteveen, J.A.S. (author), Bijl, H. (author)
A monomial chaos approach is proposed for efficient uncertainty quantification in nonlinear computational problems. Propagating uncertainty through nonlinear equations can still be computationally intensive for existing uncertainty quantification methods. It usually results in a set of nonlinear equations which can be coupled. The proposed...
conference paper 2006
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Wilson, M. (author), Klos, T.B. (author), Witteveen, C. (author), Huisman, B. (author)
conference paper 2013
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Witteveen, J.A.S. (author), Bijl, H. (author)
conference paper 2008
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Verwer, S.E. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
A model for discrete event systems (DES) can be learned from observations. We propose a simple type of timed automaton to model DES where the timing of the events is important. Learning such an automaton is proven to be NP-complete by a reduction from the problem of learning deterministic finite state automata (DFA) without time. Based on this...
conference paper 2006
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De Weerdt, M.M. (author), Witteveen, C. (author)
Many different problems are called distributed or multiagent planning problems. Existing approaches each deal with only a subset of these problems. Which properties are essential in determining a solution method for multiagent planning problems? We argue that mainly the facts that communication is limited, agents have private goals, and the...
conference paper 2006
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Ter Mors, A.W. (author), Witteveen, C. (author), Zutt, J. (author), Kuipers, F.A. (author)
In context-aware route planning, there is a set of transportation agents each with a start and destination location on a shared infrastructure. Each agent wants to find a shortest-time route plan without colliding with any of the other agents, or ending up in a deadlock situation. We present a single-agent route planning algorithm that is both...
conference paper 2010
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Bos, A. (author), De Weerdt, M.M. (author), Witteveen, C. (author), Tonino, J.F.M. (author), Valk, J. (author)
conference paper 1999
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Endhoven, L. (author), Klos, T.B. (author), Witteveen, C. (author)
Multi-agent planning and scheduling concerns finding a joint plan to achieve some set of common goals with several independent agents each aiming to find a plan or schedule for their part of the goals. To avoid conflicts in these individual plans or schedules decoupling is used. Such a decoupling entails adding local constraints for the agents...
conference paper 2011
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Verwer, S.E. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
We describe an efficient algorithm for learning deterministic real-time automata (DRTA) from positive data. This data can be obtained from observations of the process to be modeled. The DRTA model we learn from such data can be used reason and gain knowledge about realtime systems such as network protocols, business processes, reactive systems,...
conference paper 2008
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Oosterman, J.E.G. (author), Ravenhorst, R. (author), Witteveen, C. (author), Van Leeuwen, P. (author)
At airports, the turnaround process of aircraft is crucial for a timely and efficient handling of air traffic. During this process, a number of services need to be provided during the time the aircraft is at the gate: e.g., de-boarding, cleaning, catering, fuelling, and boarding. These services are provided by different service providers (agents...
conference paper 2008
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Loeven, A. (author), Witteveen, J.A.S. (author), Bijl, H. (author)
In this paper a Two Step approach with Chaos Collocation for efficient uncertainty quantification in computational fluid-structure interactions is followed. In Step I, a Sensitivity Analysis is used to efficiently narrow the problem down from multiple uncertain parameters to one parameter which has the largest influence on the solution. In Step...
conference paper 2006
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