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A preliminary test of Hunt's general theory of competition: Using artificial adaptive agents to study complex and ill-defined environments

Article Abstract:

A model of competitive markets based on Hunt's General theory of competition (HGTC) was developed using AAA (acting like buyers and sellers) that live, learn, evolve, and adapt in silicon. The results are found to be consistent with HGTC and demonstrate that competition is disequilibrium provoking and that innovation and organizational learning are endogenous and a major source of competitive advantage.

Genetic algorithms, Game theory

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Tackling measurement problems with item response theory: Principles, characteristics, and assessment, with an illustrative example

Article Abstract:

The item response theory (IRT) approach that appears promising for addressing the interest in measurement issues is reviewed. It is observed that IRT offers an alternative and interesting perspective because it is functionally interesting, revealing that a phenomenon commonly believed to function effectively actually functions ineffectively from another standpoint.

Item response theory

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Toward understanding consumersE role in medical decisions for emerging treatments: Issues, framework and hypotheses

Article Abstract:

The consumersE perspective is utilized to examine emerging treatments those based on genetic technology and aimed at improving the quality of life in relation to medical decision-making. This study provides a conceptual framework portrayal of consumersE role in medical decision making.

Decision-making, Decision making, Emergency medical services, Patient care

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