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B. Porr [4]Bernd Porr [3]
  1. Towards Closed Loop Information: Predictive Information.B. Porr, A. Egerton & F. Wörgötter - 2006 - Constructivist Foundations 1 (2):83-90.
    Motivation: Classical definitions of information, such as the Shannon information, are designed for open loop systems because they define information on a channel which has an input and an output. The main motivation of this paper is to present a closed loop information measure which is compatible with constructivist thinking. Design: Our information measure for a closed loop system reflects how additional sensor inputs are utilised to establish additional sensor-motor loops during learning. Our information measure is based on the assumption (...)
     
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  2.  4
    Future State Maximisation and Hard-Wired Structures.Bernd Porr - 2020 - Constructivist Foundations 16 (1):064-065.
    Future state maximisation offers a clear departure from both fixed reactive systems and systems that learn models based on reactive experience. In this commentary, I argue that FSX is not ….
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    Subsystem Formation Driven by Double Contingency.Bernd Porr & Paolo Di Prodi - 2014 - Constructivist Foundations 9 (2):199-211.
    Purpose: This article investigates the emergence of subsystems in societies as a solution to the double contingency problem. Context: There are two underlying paradigms: one is radical constructivism in the sense that perturbations are at the centre of the self-organising processes; the other is Luhmann’s double contingency problem, where agents learn anticipations from each other. Approach: Central to our investigation is a computer simulation where we place agents into an arena. These agents can learn to (a) collect food and/or (b) (...)
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  4. “Truthful” Acting Emerges Through Forward Model Development.B. Porr - 2016 - Constructivist Foundations 11 (3):612-613.
    Open peer commentary on the article ““Black Box” Theatre: Second-Order Cybernetics and Naturalism in Rehearsal and Performance” by Tom Scholte. Upshot: My aim is to show that “truthful” acting that emerges through improvisation is equivalent to the development of mutual forward models in the actors. If these models match those of the audience members, this is perceived as “truthful.”.
     
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  5. Authors' Response: What to Do Next: Applying Flexible Learning Algorithms to Develop Constructivist Communication.B. Porr & P. Di Prodi - 2014 - Constructivist Foundations 9 (2):218-222.
    Upshot: We acknowledge that our model can be implemented with different reinforcement learning algorithms. Subsystem formation has been successfully demonstrated on the basal level, and in order to show full subsystem formation in the communication system at least both intentional utterances and acceptance/rejection need to be implemented. The comments about intrinsic vs extrinsic rewards made clear that this distinction is not helpful in the context of the constructivist paradigm but rather needs to be replaced by a critical reflection on whether (...)
     
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  6. The Construction of the Environment.B. Porr - 2013 - Constructivist Foundations 9 (1):21-22.
    Open peer commentary on the article “Constructivism and Computation: Can Computer-Based Modeling Add to the Case for Constructivism?” by Manfred Füllsack. Upshot: The environment is not slowly constructed by the agent but is an integral part of being an agent because both, agent and environment, are part of a closed loop system. By identifying the perturbations impacting on the loops, with the help of second-order cybernetics, the agent can identify them as its environment.
     
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  7.  1
    Why Is Current AI Divinatory?Bernd Porr - 2021 - Constructivist Foundations 16 (3):362-363.
    Esposito claims that current algorithms are divinatory. I agree with her, but for different reasons. Her point is that they are divinatory because they only use correlations, but current algorithms….
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