کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5759891 1623774 2018 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
New statistical models of nonergodic cognitive systems and their pathologies
ترجمه فارسی عنوان
مدل های آماری جدیدی از سیستم های شناختی غیر ارادی و پاتولوژی آنها
کلمات کلیدی
شناخت، نظریه کنترل، قضیه سرعت داده انرژی آزاد، گروهی تئوری اطلاعات، تغییر فاز، شکستن تقارن، توپولوژی،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی
Cognition most singularly involves choice that reduces uncertainty. Reduction of uncertainty implies the existence of an information source 'dual' to the cognitive process under study. However, information source uncertainty for path-dependent nonergodic systems cannot be described as a conventional Shannon 'entropy' since time averages are not ensemble averages. Nonetheless, the essential nature of information as a form of free energy allows study of nonergodic cognitive systems having complex dynamic topologies whose algebraic expression is in terms of directed homotopy groupoids rather than groups. This permits a significant extension of the Data Rate Theorem linking control and information theories via an analog to the spontaneous symmetry breaking arguments fundamental to modern physics. In addition, the identification of information as a form of free energy enables construction of dynamic empirical Onsager models in the gradient of a classic entropy that can be built from the Legendre transform of even path-dependent information source uncertainties. The methodology provides new analytic tools that should prove useful in understanding failure modes and their dynamics across a broad spectrum of cognitive phenomena, ranging from physiological processes at different scales and levels of organization to critical system automata and institutional economics.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 436, 7 January 2018, Pages 72-78
نویسندگان
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