Christen, Patrik

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Patrik
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Patrik Christen

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Gerade angezeigt 1 - 10 von 23
  • Publikation
    Using generative artificial intelligence in university teaching
    (Springer, 2024) Kaufmann, Carla; Schmiedel, Theresa; Christen, Patrik; Abraham, Ajith; Bajaj, Anu; Hanne, Thomas; Hong, Tzung-Pei
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    System Metamodelling of Open-Ended Evolution Implemented with Self-Modifying Code
    (Complex Systems Publications, inc., 2023) Christen, Patrik
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    04B - Beitrag Konferenzschrift
  • Publikation
    04B - Beitrag Konferenzschrift
  • Publikation
    Philosophy-guided mathematical formalism for complex systems modelling
    (IEEE, 2022) Christen, Patrik; Del Fabbro, Olivier
    We recently presented the so-called allagmatic method, which includes a system metamodel providing a framework for describing, modelling, simulating, and interpreting complex systems. Its development and programming was guided by philosophy, especially by Gilbert Simondon’s philosophy of individuation, Alfred North Whitehead’s philosophy of organism, and concepts from cybernetics. Here, a mathematical formalism is presented to better describe and define the system metamodel of the allagmatic method, thereby further generalising it and extending its reach to a more formal treatment and allowing more theoretical studies. By using the formalism, an example for such a further study is provided with mathematical definitions and proofs for model creation and equivalence of cellular automata and artificial neural networks.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Automatic programming as an open-ended evolutionary system
    (Machine Intelligence Research Labs, 2022) Fix, Sebastian; Probst, Thomas; Ruggli, Oliver; Hanne, Thomas; Christen, Patrik
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Publikation
    Curb your self-modifying code
    (IEEE, 2022) Christen, Patrik
    Self-modifying code has many intriguing applications in a broad range of fields including software security, artificial general intelligence, and open-ended evolution. Having control over self-modifying code, however, is still an open challenge since it is a balancing act between providing as much freedom as possible so as not to limit possible solutions, while at the same time imposing restriction to avoid security issues and invalid code or solutions. In the present study, I provide a prototype implementation of how one might curb self-modifying code by introducing control mechanisms for code modifications within specific regions and for specific transitions between code and data. I show that this is possible to achieve with the so-called allagmatic method - a framework to formalise, model, implement, and interpret complex systems inspired by Gilbert Simondon’s philosophy of individuation and Alfred North Whitehead’s philosophy of organism. Thereby, the allagmatic method serves as guidance for self-modification based on concepts defined in a metaphysical framework. I conclude that the allagmatic method seems to be a suitable framework for control mechanisms in self-modifying code and that there are intriguing analogies between the presented control mechanisms and gene regulation.
    04B - Beitrag Konferenzschrift
  • Publikation
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Modelling and implementing open-ended evolutionary systems
    (MIT Press, 2021) Christen, Patrik; Čejková, Jitka; Holler, Silvia; Soros, Lisa; Witkowski, Olaf
    Having a model and being able to implement open-ended evolutionary systems is important for advancing our understanding of open-endedness. Complex systems science and newest generation high-level programming languages provide intriguing possibilities to do so, respectively. Here, some recent advances in modelling and implementing open-ended evolutionary systems are reviewed first. Then, the so-called allagmatic method to describe, model, implement, and interpret complex systems is introduced. After highlighting some current modelling and implementation challenges, model building blocks of open-ended evolutionary systems are identified, a system metamodel of open-ended evolution is formalised in the allagmatic method, and an implementation prototype with a high-level programming language is outlined. The proposed approach shows statistical characteristics of open-ended evolutionary systems and provides a promising starting point to interpret novelty generated at runtime.
    04B - Beitrag Konferenzschrift
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    Publikation
    Formation dominates resorption with increasing mineralized density and time postfracture in cortical but not trabecular bone: a longitudinal HRpQCT imaging study in the distal radius
    (Wiley, 2021) Atkins, Penny R.; Stock, Kerstin; Ohs, Nicholas; Collins, Caitlyn J.; Horling, Lukas; Benedikt, Stefan; Degenhart, Gerald; Lippuner, Kurt; Blauth, Michael; Christen, Patrik; Müller, Ralph
    01A - Beitrag in wissenschaftlicher Zeitschrift