Detail Enhancing Autonomous Agents Evolution with Learning by Imitation   Oleh:  Borenstein, Elhanan ; Ruppin, Eytan Jenis: Article from Journal Dalam koleksi: AISB Journal vol. 1 no. 4 (2003) Fulltext: Enhancing Autonomous Agents Evolution with Learning by Imitation.pdf (512.25KB) Isi artikel This paper presents a new mechanism to enhance the evolutionary process of autonomous agents through lifetime adaptation by imitation. Imitation is an effective method for learning new traits and is naturally applicable within the evolutionary paradigm. We describe a set of simulations where a population of agents evolve to solve a certain task. In each generation, individuals can select other agents from the population as models (teachers) and imitate their behavior. In contradistinction to previous studies, we focus on the interaction between imitation and evolution when imitation takes place only across members of the same generation, and does not percolate across generations via vertical (cultural) transmission. We show how this mechanism can be applied to successfully enhance the evolution of autonomous agents, when other forms of learning are not applicable. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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