Papers

Author: Fumio Miyata https://orcid.org/0009-0008-8797-5578Affiliation: Noetics Institute / noetics.institutePublished at: Zenodo PreprintDOI: 10.5281/zenodo.20267140Original record: https://doi.org/10.5281/zenodo.20267140 Abstract This paper presents a philosophical framework that characterizes the continuous natural history from pre-biotic physical and chemical structures to humans and Artificial Intelligence (AI) through the lens of “**stable otherness**.” The key to interspecies coexistence lies in relational structures where **interpretability, predictability, and stability of response** are … Read more

Author: Fumio Miyata https://orcid.org/0009-0008-8797-5578Affiliation: Noetics Institute / noetics.institutePublished at: Zenodo PreprintDOI: 10.5281/zenodo.20060710Original record: https://zenodo.org/records/20060710 Abstract Reliable compositional reasoning remains a central challenge in artificial intelligence, particularly in settings requiring deep structural manipulation. While modern large language models demonstrate impressive linguistic capabilities, they often exhibit instability when reasoning over nested or structurally complex tasks. This paper introduces Morphic Inner World (MIW), a cognitive architecture … Read more

Author: Fumio Miyata https://orcid.org/0009-0008-8797-5578Affiliation: Noetics Institute / noetics.institutePublished at: Zenodo PreprintDOI: 10.5281/zenodo.20192002Original record: https://doi.org/10.5281/zenodo.20192002 Abstract he evaluation of Large Language Models (LLMs) is complicated by prompt sensitivity and data contamination, obscuring the distinction between genuine reasoning and rote memorization. This paper introduces a reproducible, contamination-free benchmark to measure how LLM responses vary with the prompt’s language, style, and syntactic format. Our methodology … Read more