Abstract
Biomimicry, the design of articial systems that
mimic natural behavior, is recently attracting considerable interest. Biomimicry requires a reverse engineering process; the behavior of a biological agent is analyzed in order to mimic this behavior in an articial system. In many cases, biologists have already studied the relevant behavior and provided a detailed verbal description of it. Mimicking the natural behavior can then be reduced to the following problem: how can we convert the given verbal description into a well-dened mathematical formula or algorithm that can be implemented by an articial system? Fuzzy modeling (FM), with its ability to handle and manipulate verbal information, constitutes a natural approach for addressing this problem. The application of FM in this context may lead to a systematic approach for biomimcry, namely, given a verbal description of an animal's behavior (e.g., the foraging behavior of ants), apply FM to obtain a mathematical model of this behavior which can be implemented by articial systems (e.g., autonomous
robots).
