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Bargiacchi, E. (author), Verschoor, C.R. (author), Li, G. (author), Roijers, D.M. (author)Decision-theoretic control of multiple units in game AI [3, 5] is a notoriously hard problem, because the size of the state and action spaces are exponential in the number of agents, making it an interesting testbed for decision theoretic learning algorithms. There are two main approaches: a centralized and decentralized approach. In the...conference paper 2013
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Huang, Z. (author), Ten Teije, A. (author), Van Harmelen, F. (author)In this demo we present SemanticCT, a semantically-enabled systems for clinical trials. SemanticCT is built on the top of LarKC, a platform for scalable semantic data processing. SemanticCT has been integrated with large-scale trial data and patient data, and provided various automatic services for clinical trials, which include automatic...conference paper 2013
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Alers, S. (author), Claes, D. (author), Fossel, J. (author), Hennes, D. (author), Tuyls, K. (author)In this demonstration we show how various approaches from different computer science domains have been combined to win the 2013 world championship title in the RoboCup@Work league. RoboCup@Work aims to facilitate the use of autonomous robots in industry. Among other contributions, we show how artificial intelligence can be successfully...conference paper 2013
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Sappelli, M. (author), Verberne, S. (author), Kraaij, W. (author)In this work, we present a binary classification problem in which we aim to identify those email messages that the receiver will reply to. The future goal is to develop a tool that informs a knowledge worker which emails are likely to need a reply. The Enron corpus was used to extract training examples. We analysed the word n-grams that...conference paper 2013
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Van den Herik, H.J. (author), Kuipers, J. (author), Vermaseren, J.A.M. (author), Plaat, A. (author)After the defeat of the human chess World Champion in 1997, many researchers turned their attention to the oriental game of Go. The minimax approach, so successful in chess, did not work in Go. Instead, around 2006 a new method was developed: MCTS (Monte Carlo Tree Search). The success of MCTS in Go caused researchers to apply the method to...conference paper 2013
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- Drugan, M.D. (author), Nowé, A. (author) conference paper 2013
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Mihaylov, M. (author), Wauters, T. (author), Vanden Berghe, G. (author)The proposed tool supports human planners in certifying organizations in their task of scheduling geographically distributed certification exams. It is highly configurable and provides an effective cost-quality tradeoff for the organization.conference paper 2013
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Scharpff, J.C.D. (author), Spaan, M.T.J. (author), Volker, L. (author), De Weerdt, M.M. (author)Scheduling of infrastructural maintenance poses a complex multi-agent problem. Commonly a central authority is responsible for the quality and throughput of the infrastructure, while the actual maintenance is performed by multiple self-interested contractors. Not only does the central authority have to (economically) incentivise agents to...conference paper 2013
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Yahyaa, S. (author), Manderick, B. (author)We introduce online kernel-based LSPI (or least squares policy iteration) which combines feature of online LSPI and offline kernel-based LSPI. The knowledge gradient is used as exploration policy in both online LSPI and online kernel-based LSPI in order to compare their performance on 2 discrete Markov decision problems. Automatic feature...conference paper 2013
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- Sadowski, K.L. (author), Bosman, P.A.N. (author), Thierens, D. (author) conference paper 2013
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Claes, D. (author), Robbel, P. (author), Oliehoek, F.A. (author), Hennes, D. (author), Tuyls, K. (author)Planning in cooperative multiagent systems can be neatly formalized using Multi-Agent MDPs, but solving these models is computationally costly. This paper introduces a sub-class of problems called spatial task allocation problems (SPATAPS) that model problems in which a team of agents has to service a dynamically changing set of tasks that is...conference paper 2013
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Dadvar, M. (author), Trieschnigg, D. (author), De Jong, F. (author)Cyberbullying is a serious social problem in online environments and social networks. Current approaches to tackle this problem are still inadequate for detecting bullying incidents or to flag bullies. In this study we used a multi-criteria evaluation system to obtain a better understanding of YouTube users? behaviour and their characteristics...conference paper 2013
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Endriss, U. (author), Fernandéz, R. (author)Crowdsourcing provides new ways of cheaply and quickly gathering large amounts of information contributed by volunteers online. This method has revolutionised the collection of labelled data, in computational linguistics and elsewhere. However, to create annotated linguistic resources from crowdsourced data we face the challenge of having to...conference paper 2013
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Tops, H. (author), Van den Bosch, A. (author), Kunneman, F. (author)We describe a system that estimates when an event is going to happen from a stream of microtexts on Twitter referring to that event. Using a Twitter archive and 60 known football events, we train machine learning classifiers to map unseen tweets onto discrete time segments. The time period before the event is automatically segmented; the...conference paper 2013
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Lanctot, M. (author), Wittlinger, C. (author), Den Teuling, N.G.P. (author), Winands, M.H.M. (author)MCTS has been successfully applied to many sequential games. This paper investigates Monte Carlo Tree Search (MCTS) for the simultaneous move game Tron. In this paper we describe two different ways to model the simultaneous move game, as a standard sequential game and as a stacked matrix game. Several variants are presented to adapt MCTS to...conference paper 2013
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Van Oijen, J. (author), Dignum, F. (author)In this paper we propose the use of a shared social context to facilitate agent perception of social dynamics within a virtual environment. We argue that through a shared context it can be more feasible to equip agents with social behaviors and reasoning rules for social intelligence, better suited for real-time constrained serious games with...conference paper 2013
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Kroes, P. (author), Beek, W. (author), Schlobach, S. (author)The Linked Open Data (LOD) cloud is too big for efficient computation and too heterogeneous for standard materialization techniques to cope with. The purpose of the DataHives system is to solve both of these problems by utilizing swarm intelligence to enhance a curated dataset. The system spawns software agents that traverse the LOD cloud...conference paper 2013
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Bosman, P.A.N. (author), Thierens, D. (author)Exploiting a problems structure to arrive at the most efficient optimization algorithm is key in many optimization disciplines. In evolutionary computation, especially for solving discrete optimization problems from a black-box optimization (BBO) perspective, linkage learning is an important research line because if important linkages are...conference paper 2013
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Zhou, S. (author), Smirnov, E.N. (author), Bou Ammar, H. (author), Peeters, R. (author)This paper shows that the region classification task can benefit from instance-transfer learning. It proposes to implement a standard region-classification algorithm using a general nonconformity function based on the Transfer AdaBoost algorithm. The experiments show that the new approach produces valid class regions when instances are...conference paper 2013
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- Wilson, M. (author), Klos, T.B. (author), Witteveen, C. (author), Huisman, B. (author) conference paper 2013