Sökning: "Ziemke Tom"
Visar resultat 6 - 10 av 21 avhandlingar innehållade orden Ziemke Tom.
6. Child-Robot Behavioral Alignment and Creativity Performance
Sammanfattning : In recent years, robots have been prevalent in almost all domains. One of the most common applications of social robotics is for education with children. This dissertation addresses the integration of creativity-related education in child-robot interactions. Creativity is a required skill in the 21st century. LÄS MER
7. The Effects of Emotions and Their Regulation on Decision-making Performance in Affective Serious Games
Sammanfattning : Emotions are thought to be one of the key factors that critically influence human decision-making. Emotion-regulation can help to mitigate emotion-related decision biases and eventually lead to a better decision performance. LÄS MER
8. Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach
Sammanfattning : When performing predictive data mining, the use of ensembles is claimed to virtually guarantee increased accuracy compared to the use of single models. Unfortunately, the problem of how to maximize ensemble accuracy is far from solved. LÄS MER
9. Hanging out in the game café : Contextualising co-located computer game play practices and experiences
Sammanfattning : What social practices are people involved when staying in a game café? What kind of social setting is the game café? What are the attitudes towards playing computer games at home and in public among parents? What are the media representations of co-located game playing in public? What are the sensory experiences of playing co-located game play in public? This dissertation gives a descriptive and analytical account of the contexts and meanings of playing co-located computer games in public settings such as game cafés and LAN parties. The overall aim with the dissertation is to describe and investigate the social and cultural meanings and contexts of playing computer games in a game café. LÄS MER
10. På AI-teknikens axlar : om kunskapssociologin och stark artificiell intelligens
Sammanfattning : This dissertation is concerned with Sociology’s stance in the debate on Strong Artificial Intelligence, i.e. such AI that is able to shape new knowledge without human interference. There is a need for sociologists to realize the difference between two approaches to constructing AI systems: Symbolic AI (or Classic AI) and Distributed AI – DAI. LÄS MER
