Lecture Notes in Computer Science, 2001, Volume 2159/2001, 685-694, DOI: 10.1007/3-540-44811-X_79

Taxonomy in Alife. Measures of Similarity for Complex Artificial Organisms

Maciej Komosiński and Marek Kubiak

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Abstract

In this paper a formal approach to construction of a similarity measure for complex creatures is presented. The simulation model is described, and a Framsticks agent is expressed in a formal way. This helps in defining a dissimilarity measure. Two main ideas are discussed with reference to biology, namely genotypic and phenotypic methods. The holistic phenotypic measure is then proposed, where a fast, heuristic algorithm is used. Examples of its application are shown, including mutation and crossing over analysis, and a clustering tree based on distances between pairs of seven artificial individuals.

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