Searched for: +
(1 - 20 of 28)

Pages

document
Noroozian, A. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
The fundamental problem with P2P networks is that quality of service depends on altruistic resource sharing by participating peers. Many peers freeride on the generosity of others. Current solutions like sharing ratio enforcement and reputation systems are complex, exploitable, inaccurate or unfair at times. The need to design scalable...
conference paper 2012
document
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
document
Verwer, S. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
conference paper 2010
document
Planken, L.R. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
When agents need to interact in order to solve some (possibly common) problem, resolving potential conflicts beforehand is often preferred to coordination during execution. Agents may lose some flexibility, but their course of action will be more predictable and often also more efficient, obtaining a socially optimal outcome instead of a local...
conference paper 2010
document
Wu, M. (author), De Weerdt, M.M. (author), La Poutré, H. (author), Yadati, C. (author), Zhang, Y. (author), Witteveen, C. (author)
conference paper 2009
document
Verwer, S. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
conference paper 2008
document
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
document
Verwer, S.E. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
This paper describes an efficient algorithm for learning a timed model from observations. The algorithm is based on the state merging method for learning a deterministic finite state automaton (DFA). This method and its problem have been the subject of many studies within the grammatical inference field, see e.g. (de la Higuera, 2005)....
conference paper 2008
document
Verwer, S.E. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
A common model for discrete event systems is a deterministic finite automaton (DFA). An advantage of this model is that it can be interpreted by domain experts. When observing a real-world system, however, there often is more information than just the sequence of discrete events: the time at which these events occur may be very important. In...
conference paper 2007
document
Verwer, S.E. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
We describe an algorithm for learning simple timed automata, known as real-time automata. The transitions of real-time automata can have a temporal constraint on the time of occurrence of the current symbol relative to the previous symbol. The learning algorithm is similar to the redblue fringe state-merging algorithm for the problem of learning...
conference paper 2007
document
Steenhuisen, J.R. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
In crisis response, hierarchical organizations are being replaced by dynamic assemblies of autonomous agents that promise more agility. However, these autonomous agents might cause a decrease in effectiveness when individually constructed plans for moderately-coupled tasks are not jointly feasible. Existing coordination techniques can be applied...
conference paper 2007
document
Verwer, S.E. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
We are interested in identifying a model for discrete event systems from observations. A common way to model discrete event systems is by using deterministic finite state automata (DFA). When observing a system, however, there often is information in addition to the system events, namely, their times of occurrence. If this time information is...
conference paper 2006
document
Verwer, S.E. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
In our paper we focus on learning systems of which the execution is determined by a finite set of discrete events. The full version of this paper appeared in: Proceedings of the 15th Annual Machine Learning Conference of Belgium and the Netherlands (Benelearn 2006): http://resolver.tudelft.nl/uuid:faab7982-46bf-4d52-8a2a-324a88542584
conference paper 2006
document
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
document
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
document
Witteveen, C. (author), De Weerdt, M.M. (author)
conference paper 2006
document
De Weerdt, M.M. (author), Van der Krogt, R.P.J. (author), Witteveen, C. (author)
We discuss a resource-based planning framework where agents are able to merge plans by exchanging resources. In this framework, plans are specified as structured objects composed of resource consuming and resource producing processes (actions). A plan itself can also be conceived as a process consuming input resources and producing output...
conference paper 2003
document
Van der Krogt, R.P.J. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
Opportunities arise in planning when changes in the environment make new propositions available to the planner. Replanning methods often focus only on the negative effects that changes in the environment have and therefore do not apply well. This paper introduces a method that is specifically focused on the opportunity problem. This method is...
conference paper 2003
document
Van der Krogt, R.P.J. (author), De Weerdt, M.M. (author), Witteveen, C. (author)
We discuss a rigorous unifying framework for both planning and replanning, extending an existing logic-based approach to resource-based planning. The primitive concepts in this Action Resource Framework (ARF) are actions and resources. Actions consume and produce resources. Plans are structures composed of actions, resource facts and an explicit...
conference paper 2003
document
De Weerdt, M.M. (author), Witteveen, C. (author)
conference paper 2001
Searched for: +
(1 - 20 of 28)

Pages