کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
378474 659158 2011 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Inductive rule learning on the knowledge level
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Inductive rule learning on the knowledge level
چکیده انگلیسی

We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be used within cognitive architectures to model regularity detection and generalization learning. Induced recursive rule sets represent the knowledge which can produce systematic and productive behavior in complex situations – that is, control knowledge for chaining actions in different, but structural similar situations. We argue, that an analytical approach which is governed by regularity detection in example experience is more plausible than generate-and-test approaches. After introducing analytical inductive programming with Igor we will give a variety of example applications from different problem solving domains. Furthermore, we demonstrate that the same generalization mechanism can be applied to rule acquisition for reasoning and natural language processing.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cognitive Systems Research - Volume 12, Issues 3–4, September–December 2011, Pages 237–248
نویسندگان
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