This paper discusses a formation control problem in which a target formation is defined with both distance and signed area constraints. The control objective is to drive spatially distributed agents to reach a unique target rigid formation shape (up to rotation and translation) with desired inter-agent distances. We define a new potential function by incorporating both distance terms and signed...

This work considers the convergence rate of multi-agent systems with discrete-time single-integrator dynamics and undirected interaction topologies. In recent work it has been proven that in case of lattice interaction topologies the convergence rate can be bounded away from zero, independent of the network size, using asymmetric weightings that give the interaction graph a preferred communicat...

Supervised term weighting could improve the performance of text categorization. A way proven to be effective is to give more weight to terms with more imbalanced distributions across categories. This paper shows that supervised term weighting should not just assign large weights to imbalanced terms, but should also control the trade-off between over-weighting and under-weighting. Overweighting,...

An agent based system (HOOFS) has been developed in order to examine the interactions between foraging animals and a spatially explicit description of the environment, including vegetation growth processes. HOOFS makes use of the agent-based approach to develop a model of foraging in which animal decision making processes are explicitly modelled. The model has evolved from one where foraging de...

Drug smuggling is a worldwide problem with many negative e ects on the society. It is important to understand and predict smuggler's behavior in order to best position patrolling assets and disrupt his supply chain. The goal of this thesis is formalize smuggler's behavior and compare it with real-world data. Smuggler's route planner makes the main component of this thesis, it's formalized as bi...

Some degree of error is inevitable in multi-agent bioassays regardless of design or measurement technology. Estimation error can be reduced post facto by exploiting the matrix partial ordering of the bioassay survival estimates. The standard method for this is order-restricted regression (ORR). If the joint action of the bioassay agents admits a tolerance-based interpretation, additional struct...

Coordination of Communication in Robot Teams by Reinforcement Learning p. 156 Self-organized Multi-agent System for Robot Deployment in Unknown Environments p. 165 Selective Method Based on Auctions for Map Inspection by Robotic Teams p. 175 Study of a Multi-Robot Collaborative Task through Reinforcement Learning p. 185 Design of Social Agents p. 192 Event-Based System for Generation of Traffic...

Solving Term Weighting problem is one of the most important tasks for Information Retrieval and Information Extraction. Tipically, the TF-IDF method have been widely used for determining the weight of a term. In this paper, we propose a novel alternative fuzzy logic based method. The main advantage for the proposed method is the obtention of better results, especially in terms of extracting not...

P. Börnert, B. Aldefeld, K. Nehrke, H. Eggers Philips Research Laboratories, Hamburg, Germany Synopsis Coronary MR angiography (CMRA) can benefit in the future from the principles of molecular imaging. Specific contrast agents will offer the opportunity to image arterial plaque directly, if appropriate image contrasts (T1 or T2*) can be introduced. Spiral imaging has been shown to be robust and...