Algorithmic Economics

A glossary of Algorithmic Theory (or “Algorithm Framework Theory”) is provided here, which also includes the author’s re-interpretation or comments on some traditional theoretical terms or topics. A few contents have not yet appeared in the text of Book I or this book, but in the subsequent Algorithmic writings.

Originally, "Algorithmic Economics" refers to the economic analysis of the design of a specific computer system by computer experts. Bin Li, an independent Chinese scholar, alleges that the ideas and principles in it can be expanded into, or re-interpreted as, the basic principles of a unified economics  -- and a unified social science. The relevant books and papers of Bin Li have published in Chinese or English, see the "Webpages and References" section of this entry.

This book originates an economic theory on how a person thinks, which can be used to frame theoretical analyses, resulting in the Grand Synthesis or unification both of economics and social sciences.
Human thoughts shall be entities, and thinking shall be actions, both featured spatiotemporally. Simulating a computer, human thinking can be interpreted as computational Operations which mean that Instructions, as the innate and general thinking tools, process information or data selectively, serially, and “roundaboutly”. A great deal of consequences are thereby reasoned, such as knowledges (human capital), bounded rationalities, subjectivities, dynamics & infinite developments, pluralities, patterns, externalities, innovations, convergences & divergences, economic men, money, institutions & organizations, psychologies, etc. The Algorithmic principles are applied illustratively in turn to economics, politics, laws, sociology, history, psychology, etc., both ontologically and methodologically.

Translation of my Chinese published book "A Theory for Unification of Social Sciences: Algorithm Framework Theory" into English, uploaded concurrently with progress, and serially by chapters.

This book originates an economic theory on how a person thinks, which can be used to frame theoretical analyses, resulting in the Grand Synthesis or unification both of economics and social sciences.
Human thoughts shall be entities, and thinking shall be actions, both featured spatiotemporally. Simulating a computer, human thinking can be interpreted as computational Operations which mean that Instructions, as the innate and general thinking tools, process information or data selectively, serially, and “roundaboutly”. A great deal of consequences are thereby reasoned, such as knowledges (human capital), bounded rationalities, subjectivities, dynamics & infinite developments, pluralities, patterns, externalities, innovations, convergences & divergences, economic men, money, institutions & organizations, psychologies, etc. The Algorithmic principles are applied illustratively in turn to economics, politics, laws, sociology, history, psychology, etc., both ontologically and methodologically. Any comments or feedback are very welcome!

Translation of my Chinese published book "Algorithm Framework Theory: A Basis for Unification of Social Sciences" into English, uploaded concurrently with progress, and serially by chapters.

This book originates an economic theory on how a person thinks, which can be used to frame theoretical analyses, resulting in the Grand Synthesis or unification both of economics and social sciences.
Human thoughts shall be entities, and thinking shall be actions, both featured spatiotemporally. Simulating a computer, human thinking can be interpreted as computational Operations which mean that Instructions, as the innate and general thinking tools, process information or data selectively, serially, and “roundaboutly”. A great deal of consequences are thereby reasoned, such as knowledges (human capital), bounded rationalities, subjectivities, dynamics & infinite developments, pluralities, patterns, externalities, innovations, convergences & divergences, economic men, money, institutions & organizations, psychologies, etc. The Algorithmic principles are applied illustratively in turn to economics, politics, laws, sociology, history, psychology, etc., both ontologically and methodologically. Any comments or feedback are very welcome!