Abstract
This paper briefly presents the research performed in the context of FC Portugal project concerning coordination methodologies applied to robotic soccer. FC Portugal's research has been integrated in several teams that have participated with considerable success in distinct RoboCup leagues and competitions. The paper includes a brief description of the main RoboCup competitions in which FC Portugal (and associated teams) has participated with focus in the simulation leagues and related challenges. It also presents a complete state of the art concerning coordination methodologies applied to robotic soccer followed by FC Portugal main contributions on this area. The team contributions include methodologies for strategic reasoning, coaching, strategic positioning, dynamic role exchange and flexible setplay definition and execution. These methodologies compose a complete coordination framework that enable a robotic team to play soccer or execute similar tasks. © Springer-Verlag Berlin Heidelberg 2013.

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This paper describes the development and evaluation process of a user interface for a scheduling system. It is intended to provide the user with a graphical and interactive way in order to define a scheduling problem as well as an interactive way to visualize and adapt a scheduling plan. The realization of these goals was achieved through a modular prototype whose development was based on a methodology focused on the usability evaluation: the star life cycle. In order to evaluate the usability prototype an evaluation session was made, allowing not only the ease of use evaluation, but also observing the different interaction forms provided by each participant.

Abstract
The back propagation algorithm is one of the best methods known for simultaneous linear and nonlinear impairment mitigation in long-haul fibre-optic links. Better understanding the full potential of such algorithm is key to improve the capacity of future links, whose design is likely to depend on the algorithm performance under different link configurations. In this paper, we carry out a novel and pertinent comparison in terms of the computational complexity requirements of both symmetric and asymmetric back-propagation implementation approaches for different dispersion map configurations, using simple single channel transmission, which results in the proposal of several design rules for the optimized deployment of ultra-long haul optical transport systems. In particular, it is concluded that dispersion unmanaged transmission is preferable in the sense of compatibility with different link design configurations as well as computational complexity requirements and maximum performance that can be achieved.

Abstract
The presence of anomalies in data compromises data quality and can reduce the effectiveness of learning algorithms. Standard data mining methodologies refer to data cleaning as a pre-processing before the learning task. The problem of data cleaning is exacerbated when learning in the computational model of data streams. In this paper we present a streaming algorithm for learning classification rules able to detect contextual anomalies in the data. Contextual anomalies are surprising attribute values in the context defined by the conditional part of the rule. For each example we compute the degree of anomaliness based on the probability of the attribute-values given the conditional part of the rule covering the example. The examples with high degree of anomaliness are signaled to the user and not used to train the classifier. The experimental evaluation in real-world data sets shows the ability to discover anomalous examples in the data. The main advantage of the proposed method is the ability to inform the context and explain why the anomaly occurs.