Abstract
This document introduces COACH UNILANG, a standard language for coaching (Robo)Soccer teams. This language was developed with two main objectives: to coach FC Portugal 2001 team and as a proposal to be used in Fukuoka 2002 RoboCup coach competition. This language enables high-level and low-level coaching through coach instructions. High-level coaching includes changing tactics, formations used in each situation and changing player behavior. Low-level coaching includes defining formations, situations, player behavior and positioning with high detail. The language also enables the coach (functioning like an assistant coach) to send opponent modeling information and game statistical information to the players. © 2002 Springer-Verlag Berlin Heidelberg.

Abstract
FC Portugal is the result of a cooperation project between the Universities of Aveiro and Porto in Portugal. The project started in February 2000 and only three months later, in Amsterdam, FC Portugal became the first European Champion of RoboCup scoring a total of 86 goals without conceding a single goal. Three months later, in Melbourne, FC Portugal became RoboCup Simulation League World Champion scoring 94 goals, again without conceding any goal. This paper briefly describes some of the most relevant research developments and innovations that lead to FC Portugal team success. © 2001 Springer-Verlag Berlin Heidelberg.

Abstract
The challenge in developing agents for incomplete information games resides in the fact that the maximum utility decision for given information set is not always ascertainable. For large games like Poker, the agents' strategies require opponent modeling, since Nash equilibrium strategies are hard to compute. In light of this, simulation systems are indispensable for accurate assessment of agents' capabilities. Nevertheless, current systems do not accommodate the needs of computer poker research since they were designed mainly as an interface for human players competing against agents. In order to contribute towards improving computer poker research, a new simulation system was developed. This system introduces scientifically unexplored game modes with the purpose of providing a more realistic simulation environment, where the agent must play carefully to manage its initial resources. An evolutionary simulation feature was also included so as to provide support for the improvement of adaptive strategies. The simulator has built-in odds calculation, an agent development API, other platform agents and several variants support and an agent classifier with realistic game indicators including exploitability estimation. Tests and qualitative analysis have proven this simulator to be faster and better suited for thorough agent development and performance assessment. © 2013 Springer-Verlag.

Abstract
As the number of handicapped people increases worldwide, Intelligent Wheelchairs (IW) are becoming the solution to enable a higher degree of independence for wheelchair users. In addition, IW Projects relevance is increasing, mainly in the fields of robotics and safety-related systems due to their inherent and still unresolved problems related with environment uncertainty, safe communications and collaboration methodologies. This paper describes the development of new communication system, based on multi-agent systems (MAS) and motivated by Intelligent Wheelchair systems. It uses a message-oriented paradigm as a mean for fault-tolerant communications in open transmission systems as well as a facilitator for entity collaboration. It provides an overview of the related work in the area, the background and the main constraints to system development, contextualized an IW development project. The results achieved enable us to conclude on the effectiveness and adequacy of the proposed communication model to the field of mobile robots, as well as to conclude that it may outperform JADE in several test scenarios.

Abstract
This paper presents an overview of the RoboCup Rescue Simulation League and the rescue team FC Portugal. RoboCup Rescue Simulation is an international joint project that promotes research on distributed artificial intelligence and intelligent robotics. It offers a comprehensive urban disaster simulator and a competitive evaluation for researchers. This paper explains the objectives of the league, the mechanics of the simulator system and the main challenges in the research conducted using the RoboCup Rescue simulator. In this ever evolving and extensive urban disaster simulator, heterogeneous teams of agents try to minimize damage to both people and urban property after the occurrence of an earthquake. The city is filled with burning buildings, civilians trapped under debris and blocked roads. Teams of simulated fire brigades, policeman and ambulances collaborate in order to face the disaster. In this context, an overview of FC Portugal's rescue team is presented, including the major coordination algorithms and implemented agent's behaviours. Some of the most interesting league problems are discussed and FC Portugal's solutions are introduced. Results achieved in international competitions are also briefly presented, with emphasis on the last European championship, held in 2006, in Eindhoven, which FC Portugal won.

Abstract
The Visual Object Information Retrieval (VOIR) system described in this paper implements an image retrieval approach that combines two layers, the conceptual and the visual layer. It uses terms from a textual thesaurus to represent the conceptual information and also works with image regions, the visual information. The terms are related with the image regions through a weighted association enabling the execution of concept-level queries. VOIR uses region-based relevance feedback to improve the quality of the results in each query session and to discover new associations between text and image. This paper describes a user-centred and task-oriented comparative evaluation of VOIR which was undertaken considering three distinct versions of VOIR: a full-fledge version; one supporting relevance feedback only at image level; and a third version not supporting relevance feedback at all. The evaluation performed showed the usefulness of region based relevance feedback in the context of VOIR prototype.