Detail Emergence of Adaptive Searching Rules from the Dynamics of a Simple Nonlinear System Bibliografi Author: Nepomnyashchikh, Valentin A. ; Podgornyj, Konstantin A. (Co-Author) Topik: adaptive rules; artificial agents; dynamic systems Bahasa: (EN )     Penerbit: SAGE Publications     Tempat Terbit: London    Tahun Terbit: 2003     Jenis: Article - untuk jurnal ilmiah Fulltext: 245AB114.pdf (475.0KB; 1 download) Abstract Various organisms share certain basic rules for a searching behavior. We hypothesize that these rules may emerge from basic properties of nonlinear systems as a whole, rather then being evolved from a scratch gradually. In order to support this hypothesis, we have developed a virtual agent that consists of three simple nonlinear oscillators. These oscillators are driven by an internal noise, which results in phase transitions in their activity. External stimuli modify the activity via sensors and food consumption. The interaction among the activity of oscillators and external influences give rise to an emergence of searching rules that are similar to those shared by various organisms, thus favoring this hypothesis. The hypothesis can be verified further by investigating various types of nonlinear systems in different environments. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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