HEURISTIC ECONOMIC MANAGEMENT & NEW INTUITIVE ECONOMICS
The Heuristic and Intuitive Management of Economic Complexity:
Researching into the scientific study of problem-solving programs that we don’t yet know how to write can be perceived as a vital and decisive challenge in human intellectual history. Our subject of heuristic economics is practically oriented, but we will not succeed without advancing the methodical thought of the economics discipline and management profession. Human intelligence implies the conspicuous character of the intellectual ability to reason logically, but social practice is a witness that the majority of human agents performs so poor at it. The social science of economics is a progressing body of knowledge and learning, but the sole application of pure logic seems not to be an intelligent tool to mimic economic action. The most advanced automatic theorem provers are interesting because of the methodical ways they discover theorems and proofs, not for the logic they do contain; logic is used to confirm results, but the process of discovery is intuitive; even in mathematics, progress is not made by logic. Human brains are built of neurons, i.e. living cells which do not approximate the determinism of, for example, electronics; the hippocampus is built of layers of neurons, and its function and structure is much more like that of a connection machine than a von Neumann one. Simply and empirically speaking, on the large scale, people basically do not behave logical.
A.Ghosal, ( 2001), Heuristic economics-its cybernetic undertone, Kybernetes, Vol.30Iss.9/10, pp.1118-1125 ( search at: www.emeraldinsight.com ) prepared the cybernetic argument for the scope of economic heuristics ; the systemic intuitionism of economic action is subject to heuristic search strategies (visit: intelligence.worldofcomputing.net/aisearch/heuristic-search.html ); in addition, it is decisive to understand an algorithm as a standard heuristic procedure to re-search via the sequence of formula, equation or calculation. Recently (2008), a paper on - Using Heuristics in Economic Decision Making –documents irrational decisions regarding money, violating the very axioms of the rational decision making model (zsem.academia.edu/AndrijanaMusura ) . As of July 2011, we can observe the battle between complexity (www.ted.com/talks/kevin_slavin_how_algorithms_shape_our_world.html ) and regulation ( www.iosco.org/library/pubdocs/pdf/IOSCOPD354.pdf ). In any case, what we can primarily perceive are the real economic results of a mathematized ideology of economism. At: star.tau.ac.il/~eshel/, it is possible to learn more about the econophysics of the behavior of –Stock Market and Epilepsy; the project under the supervision of Prof. Eshel Ben-Jacob clearly documents the pathological patterns of the economic monetary system. Empirically, economic theory and data do not fit together; the artificial exactness of the experimental laboratory or hermeneutic sophistication do not matter; we discover and detect an eminent bias in the empirical sequence of perception, observation and measurement of economic data ( www.math.mcgill.ca/vetta/CS764.dir/judgement.pdf ) ,in the tradition of D. Kahneman & A. Tversky ( Judgement under Uncertainty: Heuristics and Biases ). The scientific research process of economic theory and data and the heuristic interplay of theoretical induction and empirical deduction must be revisited; in the Popperian sense, the abstract reduction does not work or from the Polyanite view, the