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  • 1.
    Buason, Gunnar
    University of Skövde, Department of Computer Science.
    Competitive co-evolution of sensory-motor systems: Appendix2002Report (Other academic)
    Abstract [en]

    This serves as an appendix to report HS-IDA-MD-02-004, and documents in further detail the experimental results discussed therein.

  • 2.
    Buason, Gunnar
    et al.
    University of Skövde, School of Humanities and Informatics.
    Bergfeldt, Niclas
    University of Skövde, School of Humanities and Informatics.
    Ziemke, Tom
    University of Skövde, School of Humanities and Informatics.
    Brains, Bodies and Beyond: Competitive Co-Evolution of Robot Controllers, Morphologies and Environments2005In: Genetic Programming and Evolvable Machines, ISSN 1389-2576, E-ISSN 1573-7632, Vol. 6, no 1, p. 25-51Article in journal (Refereed)
    Abstract [en]

    This paper presents a series of simulation experiments that incrementally extend previous work on neural robot controllers in a predator-prey scenario, in particular the work of Floreano and Nolfi, and integrates it with ideas from work on the ‘co-evolution’ of robot morphologies and control systems. The aim of these experiments has been to further systematically investigate the tradeoffs and interdependencies between morphological parameters and behavioral strategies through a series of predator-prey experiments in which increasingly many aspects are subject to self-organization through competitive co-evolution. Motivated by the fact that, despite the emphasis of the interdependence of brain, body and environment in much recent research, the environment has actually received relatively little attention, the last set of experiments lets robots/species actively adapt their environments to their own needs, rather than just adapting themselves to a given environment.

  • 3.
    Buason, Gunnar
    et al.
    University of Skövde, School of Humanities and Informatics.
    Niklasson, Lars
    University of Skövde, School of Humanities and Informatics.
    NFFP3+ Concepts and Methods2004Report (Other academic)
  • 4.
    Ziemke, Tom
    et al.
    University of Skövde, School of Humanities and Informatics.
    Bergfeldt, Nicklas
    University of Skövde, School of Humanities and Informatics.
    Buason, Gunnar
    University of Skövde, School of Humanities and Informatics.
    Susi, Tarja
    University of Skövde, School of Humanities and Informatics.
    Svensson, Henrik
    University of Skövde, School of Humanities and Informatics.
    Evolving Cognitive Scaffolding and Environment Adaptation: A New Research Direction for Evolutionary Robotics2004In: Connection Science, ISSN 0954-0091, Vol. 16, no 4, p. 339-350Article in journal (Refereed)
    Abstract [en]

    Many researchers in embodied cognitive science and artificial intelligence, and evolutionary robotics in particular, emphasize the interaction of brain, body and environment as crucial to the emergence of intelligent, adaptive behaviour. Accordingly, the interaction between agent and environment, as well as the co-adaptation of artificial brains and bodies, has been the focus of much research in evolutionary robotics. Hence, there are plenty of studies of robotic agents/species adapting to a given environment. Many animals, on the other hand, in particular humans, to some extent can choose to adapt the environment to their own needs instead of adapting (only) themselves. That alternative has been studied relatively little in robot experiments. This paper, therefore, presents some simple initial simulation experiments, in a delayed response task setting, that illustrate how the evolution of environment adaptation can serve to provide cognitive scaffolding that reduces the requirements for individual agents. Furthermore, theoretical implications, open questions and future research directions for evolutionary robotics are discussed.

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