Abstract
Building artificial lifelike autonomous agents is still considered an art, rather than a science. A generally accepted precise methodology is missing, and—given the properties of the real world—it is doubtful whether such a methodology will ever be developed. Nevertheless, it is possible to define criteria and provide heuristics for good designs. We have developed a number of design principles which, when applied, lead to what we would consider good designs from a cognitive science or artificial life (ALife) perspective. The paper illustrates some of these principles using a case study of classification.
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Pfeifer, R. Design principles for autonomous agents: A case study of classification. Artificial Life and Robotics 1, 43–46 (1997). https://doi.org/10.1007/BF02471112
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DOI: https://doi.org/10.1007/BF02471112