کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6853689 1437242 2018 51 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Discovery in complex adaptive systems
ترجمه فارسی عنوان
کشف در سیستم های تطبیقی ​​پیچیده
کلمات کلیدی
سیستم های پیچیده، سیستم های دینامیک، علوم شناختی، اندازه گیری، اتوماتای ​​سلولی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
The distinction between ontological ground-truth phenomena and epistemic measurements of those phenomena is discussed and analyzed in the context of complex cognitive systems research. A common style of computational simulation is identified as a Dissect-the-Simulation motif. In this style, a model of cognition is designed and when it generally mimics some cognitive behavior, its own ontic processes (which are fully accessible because it is a simulation) are proposed as potential ontic processes inside actual human cognition. I propose here a second style of modeling, which might be called Measure-the-Simulation. In this style, simulated versions of coarse-grained epistemic measurements are performed on the model with the intent of discovering how those epistemic measurements themselves may transform the actual ontic data, and thus induce a variety of mis-categorizations of phenomena. When our epistemic measurements are better understood, such mis-categorizations can perhaps be avoided. As a proof of concept, Conway's Game of Life is analyzed and measured with two different types of coarse-grained epistemic measures. Dramatic differences are identified in how a binary coarse-graining, versus a graded coarse-graining, transforms the discovery process for activity patterns on the lattice of this cellular automaton.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cognitive Systems Research - Volume 51, October 2018, Pages 40-55
نویسندگان
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