The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

We are interested in the synthesis of autonomous agents using evolutionary techniques. Most work in this area utilizes a direct mapping from genotypic space to typic space. In order to address some of the limitations of this approach, we present a simplified yet biologically defensible model of the developmental process. The design issues that arise when formulating this model at the molecular, cellular and organismal level are discussed, and for each of these issues we describe how they were resolved in our implementation. We present and analyze some of the morphologies that can be explored using this model, specifically one that has agent-like properties. In addition, we demonstrate that this developmental model can be evolved.

Notes

Text Reference

Frank Dellaert and Randall Beer, "Toward an Evolvable Model of Development for Autonomous Agent Synthesis," Artificial Life IV, Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems, 1994.

BibTeX Reference

@inproceedings{Dellaert_1994_3308,
   author = "Frank Dellaert and Randall Beer",
   editor = "Rodney Brooks and Pattie Maes",
   title = "Toward an Evolvable Model of Development for Autonomous Agent Synthesis",
   booktitle = "Artificial Life IV, Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems",
   publisher = "MIT press",
   address = "Cambridge, MA",
   year = "1994",
}

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