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  • 1.
    Annett, Judith
    et al.
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Berglund, Stefan
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Increasing Societal Well-Being Through Enhanced Empathy Using Computer Games2015In: Well-Being in Contemporary Society / [ed] Johnny H. Søraker, Jan-Willem Van der Rijt, Jelle de Boer, Pak-Hang Wong & Philip Brey, Springer, 2015, p. 135-155Chapter in book (Refereed)
    Abstract [en]

    Recent research suggests that the well-being of both individuals and society in general may have a neurobiological basis linked to empathy. This raises the issue of available routes for enhancing empathy (through interventions such as education, training, pharmacology, etc.). One of the most important features of the human brain, especially of the brains of children and teenagers, is its plasticity. Millions of children and teenagers spend many hours every day playing computer games. Many computer games include different forms of violence and aggression and there has been extensive research that indicates that there is a correlation between playing these games, aggression, and reduced disposition to pro-social behaviors. However, much less research has been conducted on the potential effects of pro-social and non-violent computer games. Since there is not yet a comprehensive model of the possible causal relationships between playing such games and neuropsychological function, neuroendocrine function (e.g. oxytocin release), empathy, pro-social behaviors, and individual and societal well-being, we provide a basic theoretical framework for empirical research on these issues. The aim of this framework is ultimately to establish not only correlational evidence, but to allow the development of experimental protocols to meaningfully examine the causal relationships and mechanisms.

  • 2.
    Torra, Vicenç
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Karlsson, Alexander
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Steinhauer, H. Joe
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Berglund, Stefan
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Artificial Intelligence2019In: Data Science in Practice / [ed] Alan Said, Vicenç Torra, Springer, 2019, p. 9-26Chapter in book (Refereed)
    Abstract [en]

    This chapter gives a brief introduction to what artificial intelligence is. We begin discussing some of the alternative definitions for artificial intelligence and introduce the four major areas of the field. Then, in subsequent sections we present these areas. They are problem solving and search, knowledge representation and knowledge-based systems, machine learning, and distributed artificial intelligence. The chapter follows with a discussion on some ethical dilemma we find in relation to artificial intelligence. A summary closes this chapter.

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