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Showing result 1 - 5 of 114 swedish dissertations matching the above criteria.

  2. 1. Adding Challenge to a Teachable Agent in a Virtual Learning Environment

    Author : Camilla Kirkegaard; Agneta Gulz; Annika Silvervarg; Björn Johansson; Lena Pareto; Linköpings universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; educational technology; educational software; teachable agents; learning;

    Abstract : The topic of this thesis concerns what happens when challenging behavior is added to a teachable agent in a virtual learning environment. The aim of adding challenging behavior to teachable agents is to encourage students to engage in learning behaviors, improve their motivation and engagement, which may result in a deeper level of comprehension and an improved learning experience. READ MORE

  4. 2. Learning-by-modeling : Novel Computational Approaches for Exploring the Dynamics of Learning and Self-governance in Social-ecological Systems

    Author : Emilie Lindkvist; Maja Schlüter; Jon Norberg; Örjan Ekeberg; James Dyke; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Complex adaptive systems; Renewable resources; Adaptive management; Small-scale fisheries; Artificial intelligence; Reinforcement learning; Agent-based modeling; agent-baserade modeller; artificiell intelligens; social-ekologiska system; komplexa adaptiva system; förnyelsebara naturresurser; adaptiv förvaltning; Sustainability Science; vetenskap om hållbar utveckling;

    Abstract : As a consequence of global environmental change, sustainable management and governance of natural resources face critical challenges, such as dealing with non-linear dynamics, increased resource variability, and uncertainty. This thesis seeks to address some of these challenges by using simulation models. READ MORE

  5. 3. A Learning-driven Approach for Behavior Modeling in Agent-based Simulation

    Author : Robert Junges; Franziska Klügl; Mathias Broxvall; Lars Braubach; Örebro universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; agent-based simulation; agent modeling; agent learning;

    Abstract : Agent-based simulation is a prominent application of the agent-based system metaphor. One of the main characteristics of this simulation paradigm is the generative nature of the outcome: the macro-level system behavior is generated from the micro-level agent behavior. READ MORE

  6. 4. Data-Efficient Learning of Semantic Segmentation

    Author : David Nilsson; Mathematical Imaging Group; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; semantic segmentation; embodied learning; active learning; semantic video segmentation; computer vision; deep learning;

    Abstract : Semantic segmentation is a fundamental problem in visual perception with a wide range of applications ranging from robotics to autonomous vehicles, and recent approaches based on deep learning have achieved excellent performance. However, to train such systems there is in general a need for very large datasets of annotated images. READ MORE

  7. 5. Learning in the Loop : On Neural Network-based Model Predictive Control and Cooperative System Identification

    Author : Rebecka Winqvist; Bo Wahlberg; Cristian R. Rojas; Axel Ringh; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Learning; Model Predictive Control; System Identification; Optimal Transport; Inlärning; Modellprediktiv reglering; Systemidentifiering; Optimal transport; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Inom reglerteknik har integrationen av maskininlärningsmetoder framträtt som en central strategi för att förbättra prestanda och adaptivitet hos styrsystem. Betydande framsteg har gjorts inom flera viktiga aspekter av reglerkretsen, såsom inlärningsbaserade metoder för systemidentifiering och parameterskattning, filtrering och brusreducering samt reglersyntes. READ MORE