Abstract
While affective computing and the entertainment industry still maintain a substantial gap between themselves, biosignals are subject of digital acquisition through low budget technologic solutions at neglectable invasive levels preventing users from focusing their awareness in the equipment. The integration of electroencephalography, galvanic skin response and oximeter in a multichannel framework constitutes an effort in the path to identify emotional states via biosignals expression. In order to induce and detect specific emotions, gender specific sessions were defined based on the International Affective Picture System and performed in a controlled environment, Results granted by distinct analysis techniques showed that high frequency EEG waves are strongly related to emotions and are a solid ground to perform accurate emotion classification. They have also given strong indications that females are more sensitive to emotion induction. On the other hand, one might conclude that the attained success levels concerning relating emotions to biosignals are extremely encouraging not only to the continuation of this research topic but also to the application of these results in domains such as multimedia entertainment, advertising and medical treatments.

Abstract
Nowadays social networks are used for various recreational purposes. It is believed that every day is spent on average two hours per user in these networks games. Farmville is an application relating to one of the most successful social networks: Facebook. Farmville is a game that allows each user to use a diverse set of actions available for managing a virtual farm. However, this management quickly becomes a boring and time consuming process and often the user quits the application. In this context this project main objective is the development of a multi-agent system able to assist the player in Farmville. The system will help the user in most of his management tasks on the farm. The use of the implemented system ensures greater progress in the game, because there is a decrease in the time spent in performing the tasks enabling the user to focus on the strategies for advancing in the game.

Abstract
Over the years, air transport has increased gradually. This increase can cause difficulties in air traffic management, reducing its effectiveness. The use of intelligent agents in air traffic management seems to be a promising approach to overcome this difficulty. Thus this paper proposes the creation of a multi-agent system for autonomous air traffic management. Several concepts and proposals suggested by other authors about this topic are used in this implementation in an attempt to create a system based on the strengths of each work. This work is also part of a larger project, related to the coordination of intelligent agents in the execution of joint missions. The connection between the two systems is the management of the aircrafts that perform the missions. With this system, it is possible to manage the landings and departures of the aircrafts in an airport, manage the vehicles moving on the airport and even prevent collisions between aircrafts moving in the covered airspace.

Abstract
In this paper an overview of two humanoid simulation platforms is provided: Simspark, a 3D Robocup simulator and the robotics simulator SimTwo. Although these two simulators have different background, today they share the same humanoid robot model, namely the Albaderan NAO robot. According to the fact that developing reliable and robust biped locomotion and low level humanoid behaviors are still challenging tasks, simulation has an important role in improving humanoids movement development approaches. In this paper the two humanoid robotic simulators will be compared in face of simulating Humanoid low level behaviors. The comparison is based on identifying the same role and locomotion approaches. The results show that Simspark is closer to reality than SimTwo.

Abstract
Serious Games are growing into a significant area spurred by the growth in the use of video games and of new methods for their development. They have important applications in several distinct areas such as: military, health, government, and education. The design of computer games can offer valuable contributions to develop effective games in the rehabilitation area. This paper presents fundamental concepts relating to Serious Games followed by a survey of relevant work and applications on Serious Games for Rehabilitation. We propose a classification designed to properly distinguish and compare Serious Games for Rehabilitation systems in what concerns their fundamental characteristics. We also describe a particular Serious Game for Rehabilitation, RehaCom, as a case study. Finally, the paper presents some challenges and research opportunities in this area.

Abstract
RoboCup is a scientific and educational, international project that involves artificial intelligence, robotics and sport sciences. In these competitions, teams of all around the world participated in distinct leagues. In the begining of the Coach competition, one of RocoCup leagues,the goal of the researchers was to develop an agent (Coach that provides advices to teammates about how to act and with improve team performance. Using the resulting improved coach agent, with enhanced statistic calculation abilities, a huge amount of statistical data was gathered from the games held at Bremen 2006. This data was then stored and treated in a data warehouse system obtaining a good high level perspective/knowledge of the RoboCup simulated soccer tournament. According to the results, the team that represented our country, has a much more goal opportunities in comparison with the majority of the teams, but this team did not score many goals. In terms of more occupied regions, the best four teams in the tournament did not occupy many times the left and right wings, compared to others regions. In the future the our country team needs to develop new strategies that use these two areas preferrentialy in order to achieve better results.