Abstract. Human users trying to plan and accomplish informationdependent goals in highly dynamic environments with prevalent uncertainty must consult various types of information s...
Abstract. In this paper we formulate a novel Divide-andCoordinate (DaC) algorithm, the so-called Egalitarian Utilities Divide-and-Coordinate (EU-DaC) algorithm. The Divide-andCoord...
We present a new method for instance-specific algorithm configuration (ISAC). It is based on the integration of the algorithm configuration system GGA and the recently proposed sto...
Serdar Kadioglu, Yuri Malitsky, Meinolf Sellmann, ...
We investigate probabilistic propositional logic as a way of expressing and reasoning about uncertainty. In contrast to Bayesian networks, a logical approach can easily cope with i...
Abstract. This paper introduces restart and nogood recording techniques in the domain of qualitative spatial and temporal reasoning. Nogoods and restarts can be applied orthogonall...
Abstract. Irony is an effective but challenging mode of communication that allows a speaker to express sentiment-rich viewpoints with concision, sharpness and humour. Irony is espe...
Abstract. In this paper we introduce a new option pricing mechanism for reducing the exposure problem encountered by bidding agents with complementary valuations when participating...
Valentin Robu, Ioannis A. Vetsikas, Enrico H. Gerd...
Abstract. We investigate the problem of the verification of multiagent systems by means of parallel algorithms. We present algorithms for CTLK, a logic combining branching time tem...
Marta Z. Kwiatkowska, Alessio Lomuscio, Hongyang Q...
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
Ian P. Gent, Christopher Jefferson, Lars Kotthoff,...