本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2005
摘要
We present a new definition of the concept of representation for 認知 science that is based on a study of the origin of structures that are used to store memory in evolving systems. This study consists of novel computer experiments in the 演化 of 細胞自動機 to perform nontrivial tasks as well as evidence from biology concerning generic memory. Our key observation is that representations require inert structures to encode 資訊 used to construct appropriate dynamic configurations for the evolving system. We propose criteria to decide if a given structure is a representation by unpacking the idea of inert structures that can be used as memory for arbitrary dynamic configurations. Using a 遺傳 algorithm, we evolved 細胞自動機 rules that can perform nontrivial tasks related to the density task (or majority class
※ 此為已發表論文，全文需透過期刊付費取得