The aim of this study is to model the adaptive strategies of protective (cryptic) coloration in fish. In the initial stage, natural language modeling was employed as a research tool, in conjunction with AI tools and Altshuller’s invention algorithm. Further verification of the conclusions obtained using this toolkit was conducted through computer analysis of the RGB model of digital photos of fish and plant communities in their habitats. A comparative analysis of the structure of correlation pleiads, representing the relationships of colorimetric parameters of different parts of the fish’s body, was performed using digital photos taken remotely from various angles. This study examines colorimetric parameters that have analogies with Margalef’s model of succession observed in dynamics. Using AI and Altshuller’s invention algorithm, contradictions were formulated between the requirements for diversity and evenness of these colorimetric parameters in the adaptive strategy of protective coloration in fish. The methods proposed by AI for resolving these contradictions were further verified through comparative analysis of the aforementioned correlation pleiads. The combination of Altshuller’s invention algorithm and artificial intelligence introduces a novel approach in this study. This study addresses aspects related to fundamental problems in biology. Additionally, the practical applications of the obtained results could contribute to the development of remote (aerospace) methods for recording the status of ichthyofauna.