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The object of the study is the procedure for modeling adaptive strategies for the functioning of the protective coloration of a frog (Pelophylax esculentus) using Altshuller’s innovation algorithm. Verbal modeling by means of the Altshuller’s innovation algorithm using natural language was duplicated by the use of artificial intelligence tools. The systemic aspects of the functioning of the protective coloration of animals are extremely complex. This complexity sometimes creates obstacles of a fundamental nature for their formalized description. We are talking about a formalized description by means of mathematics and computer science. This problem can be solved by using verbal modeling by means of natural language. In particular, the means that are used in the Altshuller’s innovation algorithm. With the use of these means were formulated: the ideal goal of the functioning of the leaking coloration of the animal, the contradiction that impedes the achievement of this goal, the way to resolve this contradiction. As a goal, an adaptive strategy for the functioning of the protective coloration of the animal, which ensures its camouflage and prevents its unmasking, was adopted. The achievement of this goal is hampered by the contradiction in the requirements for the diversity of the protective coloration of the animal. The approach presented in this paper to the study of adaptive strategies for the functioning of the protective coloration of animals is interesting for the development of remote (aerospace) methods for recording aquatic animals.
