Search for dissertations about: "Cooperative learning"

Showing result 1 - 5 of 44 swedish dissertations containing the words Cooperative learning.

  2. 1. Learning 'theory' at university and 'practice' in the workplace : A problematisation of the theory-practice terminology that the dualistic design of Work-integrated Learning institutionalises

    Author : Ville Björck; Kristina Johansson; Tomasz Szkudlarek; Göran Lassbo; Andreas Fejes; Högskolan Väst; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Work-integrated Learning; theory-practice terminology; dualism; discourse analysis; genealogy; third place; Work Integrated Learning; Arbetsintegrerat lärande;

    Abstract : Work-integrated Learning (WIL) is a label for a form of higher education whose usual design in many degree programmes involves splitting students' education into on-campus training and work placements. This thesis focuses on a theory-practice terminology that is reflected in this WIL design and spreads a dualistic thinking with a basic message. READ MORE

  4. 2. 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

  5. 3. Cooperative Compressive Sampling

    Author : Ahmed Zaki; Lars Kildehøj; Saikat Chatterjee; Jan Østergaard; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Compressive sampling; greedy algorithms; convex optimisation; RIP analysis; fusion strategy; distributed learning; sparse learning; stochastic matrix; consensus; sparse estimation; Telecommunication; Telekommunikation;

    Abstract : Compressed Sampling (CS) is a promising technique capable of acquiring and processing data of large sizes efficiently. The CS technique exploits the inherent sparsity present in most real-world signals to achieve this feat. Most real-world signals, for example, sound, image, physical phenomenon etc., are compressible or sparse in nature. READ MORE

  6. 4. 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

  7. 5. Embodied Evolution of Learning Ability

    Author : Stefan Elfwing; Henrik Christensen; Jarmo Alander; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Embodied Evolution; Evolutionary Robotics; Reinforcement Learning; Shaping Rewards; Meta-parameters; Hierarchical Reinforcement Learning; Computer science; Datalogi;

    Abstract : Embodied evolution is a methodology for evolutionary robotics that mimics the distributed, asynchronous, and autonomous properties of biological evolution. The evaluation, selection, and reproduction are carried out by cooperation and competition of the robots, without any need for human intervention. READ MORE