9,325 research outputs found

    Situation based strategic positioning for coordinating a team of homogeneous agents

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    . In this paper we are proposing an approach for coordinating a team ofhomogeneous agents based on a flexible common Team Strategy as well as onthe concepts of Situation Based Strategic Positioning and Dynamic Positioningand Role Exchange. We also introduce an Agent Architecture including a specifichigh-level decision module capable of implementing this strategy. Ourproposal is based on the formalization of what is a team strategy for competingwith an opponent team having opposite goals. A team strategy is composed of aset of agent types and a set of tactics, which are also composed of several formations.Formations are used for different situations and assign each agent a defaultspatial positioning and an agent type (defining its behaviour at several levels).Agents reactivity is also introduced for appropriate response to the dynamicsof the current situation. However, in our approach this is done in a way thatpreserves team coherence instead of permitting uncoordinated agent behaviour.We have applied, with success, this coordination approach to the RoboSoccersimulated domain. The FC Portugal team, developed using this approach wonthe RoboCup2000 (simulation league) European and World championshipsscoring a total of 180 goals and conceding none

    Positioning in Robots Soccer

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    High level coordination and decision making of a simulated robotic soccer team

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    Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 201

    Coordinating a team of agents in the forest firefighting domain

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    Documento confidencial. Não pode ser disponibilizado para consultaTese de mestrado. Inteligência Artificial e Sistemas Inteligentes. 2006. Faculdade de Engenharia. Universidade do Port

    FC Portugal 3D Simulation Team: Team Description Paper 2020

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    The FC Portugal 3D team is developed upon the structure of our previous Simulation league 2D/3D teams and our standard platform league team. Our research concerning the robot low-level skills is focused on developing behaviors that may be applied on real robots with minimal adaptation using model-based approaches. Our research on high-level soccer coordination methodologies and team playing is mainly focused on the adaptation of previously developed methodologies from our 2D soccer teams to the 3D humanoid environment and on creating new coordination methodologies based on the previously developed ones. The research-oriented development of our team has been pushing it to be one of the most competitive over the years (World champion in 2000 and Coach Champion in 2002, European champion in 2000 and 2001, Coach 2nd place in 2003 and 2004, European champion in Rescue Simulation and Simulation 3D in 2006, World Champion in Simulation 3D in Bremen 2006 and European champion in 2007, 2012, 2013, 2014 and 2015). This paper describes some of the main innovations of our 3D simulation league team during the last years. A new generic framework for reinforcement learning tasks has also been developed. The current research is focused on improving the above-mentioned framework by developing new learning algorithms to optimize low-level skills, such as running and sprinting. We are also trying to increase student contact by providing reinforcement learning assignments to be completed using our new framework, which exposes a simple interface without sharing low-level implementation details

    Modelo de estratégia e coordenação genérico para sistemas multi-agente

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    Estágio realizado na Universidade de Aveiro e orientado pelo Prof. Doutor Jose Nuno Panelas Nunes LauTese de mestrado integrado. Engenharia Electrotécnica e de Computadores. Faculdade de Engenharia. Universidade do Porto. 200

    Humanitarian Health Information Systems: Different Challenges and Responses.

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    The role of humanitarian organizations is becoming increasingly vital in a world characterized by conflicts, natural and man made disasters, and disease epidemics. For these organizations to be-come more effective, they need robust supporting information systems. These systems are complex to design and use for two reasons. One, the context is unstable, unpredictable and extremely dynamic. Two, the methods for design of these systems typically follow structured methods assuming routine information systems. There is thus a mismatch resulting in emerging contradictions, which in the short-run have adverse consequences, but in the longer run provide the potential for positive change. Theoretically, we draw upon some concepts from institutional theory, such as institutions, logics and contradictions to understand what are the emerging contradictions, why do they occur, and what can we do about them. Empirically, we study a large humanitarian organization (MSF), and analyze some of their processes around the design and development of their “humanitarian health management information system.” We identify contradictions arising from various technical, institutional and contextual conditions, and analyze how the potential for change carried in them can be positively leveraged upon
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