Authors
Gregory Wheeler
Frankfurt School Of Finance And Management
Abstract
Modelling a complex phenomenon such as the mind presents tremendous computational complexity challenges. Modelling field theory addresses these challenges in a non-traditional way. The main idea behind MFT is to match levels of uncertainty of the model with levels of uncertainty of the evaluation criterion used to identify that model. When a model becomes more certain, then the evaluation criterion is adjusted dynamically to match that change to the model. This process is called the Dynamic Logic of Phenomena for model construction and it mimics processes of the mind and natural evolution. This paper provides a formal description of DLP by specifying its syntax, semantics, and reasoning system. We also outline links between DLP and other logical approaches. Computational complexity issues that motivate this work are presented using an example of polynomial models.
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DOI 10.1080/11663081.2012.682439
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References found in this work BETA

Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Cambridge University Press.
Modal Logic: An Introduction.Brian F. Chellas - 1980 - Cambridge University Press.
What Might Cognition Be If Not Computation?Tim Van Gelder - 1995 - Journal of Philosophy 92 (7):345-81.

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