104 research outputs found

    GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest

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    We provide a brief description of the GOAL-DTU system for the agent contest, including the overall strategy and how the system is designed to apply this strategy. Our agents are implemented using the GOAL programming language. We evaluate the performance of our agents for the contest, and finally also discuss how to improve the system based on analysis of its strengths and weaknesses.Comment: 28 pages, 45 figure

    Sustainable international experience: A collaborative teaching project

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    Within engineering education, there is an increasing need for providing our students with international experiences. This is most often done by exchange studies abroad. However, a majority of the students on engineering programs do not engage in any international exchange. This paper presents insights from a collaborative cross-disciplinary international project to give students international experience without having to travel. From both a sustainability perspective and a situation where e.g. a global virus outbreak stop students from travelling, solutions that give engineering students experience of working in an international setting are becoming increasingly important. Initial challenges, for the teachers involved in the project, that were addressed before the project started, included the assessment of students, the use of online collaborative tools, assessment of students and the dependence between the two courses. The learnings from the first and second iteration of the collaborative project were mainly focused around transparency, introduction of students to each other, communication, real-time issues and deadlines. By gradually remove these peripheral challenges for the students, resulting in making the students focus on the actual challenges surrounding the actual collaborative project. Even though this project is ongoing, the initial results clearly show that by integrating courses between different countries and disciplines, it is possible to create an environment that strengthens the students’ ability in teamwork, communication and addresses the cultural and professional aspects of working as an engineer in an international context

    Forecasting: theory and practice

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    Forecasting has always been in the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The lack of a free-lunch theorem implies the need for a diverse set of forecasting methods to tackle an array of applications. This unique article provides a non-systematic review of the theory and the practice of forecasting. We offer a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts, including operations, economics, finance, energy, environment, and social good. We do not claim that this review is an exhaustive list of methods and applications. The list was compiled based on the expertise and interests of the authors. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of the forecasting theory and practice
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