Research Catalogue

research expositions

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  ON THE EMERGENCE OF AN ENTITY OF ENTROPY v.0.7.3 (2021) author(s): Udo Maria Fon published in: Research Catalogue
  The last decades have shown that the human sensory system is hardly able to process not local events without technical support. And with technical support, the amount of collected data worldwide, can not be worked up by a single human brain. So either the human sensory organs are not designed to see what is going on in the world, or the human brain is not designed to process this vast amount of data. Is there a common denominator of perception and cognition existing? Or is the view of the world always scattered? In this social cognitive concept, specific scientific phenomenons are scaled to social interactions. And describes the interaction of individual and collective perception as co-creation of specific rooms of perception.
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  BRIEF HISTORY OF PERCEPTION (2021) author(s): Udo Maria Fon published in: Research Catalogue
  Even if this brief historical outline of perception is structured chronologically as far as possible, it is difficult to describe the variety of parallel events. This overview, therefore, makes no claim to completeness. It demonstrates that after the establishment of technical aids for the expansion of human perception, phases of an intensive exchange of information begin. This allows existing structures to be viewed and reflected on in a new way. But this does not mean the end of the world in any way. Only the end of an outdated worldview. And that means a new beginning.
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  Human-AI Design Version 0.9.2, 2024-09-24 (2024) author(s): Udo Maria Fon published in: Research Catalogue
  This paper introduces the Human-AI Design approach, a novel framework for addressing complex sustainability challenges through the integration of human expertise and artificial intelligence. The approach leverages social and global entropy concepts to quantify and visualize resource distribution and irreversible processes within social and ecological systems. By combining entropy modeling, participatory processes, and advanced AI techniques, Human-AI Design offers a comprehensive methodology for tackling multifaceted global issues. The paper presents a theoretical framework, outlines the methodology, and demonstrates its application through a case study on global water resource management. The approach's potential is further explored in extended applications across various domains, including education, urban planning, biodiversity conservation, and climate change mitigation. Future scenarios of human-AI coevolution are discussed, highlighting both the immense potential and significant challenges ahead. The Human-AI Design approach represents a promising step towards more effective and integrated solutions to global sustainability challenges, offering new possibilities for understanding and managing complex systems while emphasizing the importance of ethical considerations and adaptive implementation.
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