Posts tagged ‘Claude Shannon’

August 27th, 2012

The Language of God

by Max Andrews

In our experience, intentions get actualized any number of ways[1]: A sculptor by chiseling at stone, musicians by writing notes, engineers by drawing up blueprints. In general, all actualizations of intentions can be realized in language. Precise enough sets of instructions in a natural language can tell the sculptor how to form the statue, musician how to record the notes, and engineer how to draw up blueprints.

Why should an act of speech be God’s mode of creation? Language is the universal medium for actualizing intentions. The language that proceeds from God’s mouth in the act of creation is the divine Logos (Jn. 1.1-5). In the act of creation God the Father speaks the divine Logos in the power of the Holy Spirit. The divine Logos is not just language in the ordinary sense (utterances that convey information), but the very ground and possibility of language. Words need power to accomplish their end and God’s Word has that power (Is. 55.11).

Given that we are made in God’s image, the Trinitarian structure of creation is reflected in human speech.

“The word [goes] out of the mouth of God in such a manner that it likewise ‘[goes] out of the mouth’ of men; for God does not speak openly from heaven, but employs men as his instruments, that by their agency he may make known his will.”[2]

August 2nd, 2011

Inferring Design From Data

by Max Andrews

The data presented must be evaluated as either being the result of necessity, chance, a combination thereof, or design (intelligent causation).  How may one infer design?  As William Dembski advocates in his work, The Design Inference, there must be a relay of specified complex information.[1]  In the 1940’s, Claude Shannon at Bell Laboratories developed a mathematical theory of information.  The information-carrying capacity of a sequence of a specific length can then be calculated using the expression I=-log2p.[2]  When this formula is applied to genetic sequence probability formulas the information being conveyed is more than mere Shannon information.  The word information in this theory is used in a special mathematical sense that must not be confused with its ordinary usage.  In particular, information must not be confused with meaning.[3]

Since the late 1950’s, biologists have equated the “precise determination of sequence” with the property “specificity” or “specification.”  Biologists have defined specificity tacitly as “necessary to achieving or maintaining function.”  They have determined that DNA base sequences are specified, not by applying information theory, but my making experimental assessments of the function of those sequences within the overall apparatus of gene expression.[4]  The same application of specificity would be applied to complexity.  Given the complexity of the components need for and to sustain life, the complexity is that which maintains function, a specified complexity.[5]

When arguing for design, the argument cannot take one to Christianity or even God.  All one can purport is an intelligent cause.[6]  The evidence cannot identify who or what the cause is.  This is constructive empiricism.  Constructive empiricism states that one can only refer to the aspects of that being, in this case, the intelligence of the cause, respective to the issue and evidence at hand.  It is only be a cumulative case argument can one infer that the intelligent cause is God.

By experience, it can be deduced that mind originates information (as previously described) and that the other competing hypotheses do not have the explanatory scope and power as design does.  It is by the means of abduction one can infer that design, or intelligent causation, is the best explanation for the data.  Chance and randomness cannot substantially account for the data.  The improbability alone is infinitesimally improbable.  The necessity explanation has no support and the physical variations of the cosmic landscape place the explanation at implausible.

            [1] William A. Dembski, The Design Inference (Cambridge:  Cambridge University Press, 1998).

            [2] This equated the amount of information transmitted with the amount of uncertainty reduced or eliminated by a series of symbols or characters.  Claude Shannon, “A Mathematical Theory of Communication,” Bell System Technical Journal 27 (1948):  379-423; 623-656.

            [3] Claude Shannon, W. Weaver, The Mathematical Theory of Communication (Champaign, IL:  University of Illinois Press, 1998), 8.

            [4] Stephen C. Meyer, “ A Scientific History—and Philosophical Defense—of the Theory of Intelligent Design.”

            [5] Ibid. To avoid equivocation, it is necessary to distinguish “information content” from mere “information carrying capacity,” “specified information” from mere “Shannon information,” “specified complexity” form mere “complexity.”

            [6] Intelligent causation is entirely consistent with the scientific method.  For example:  The design inference begins with the observation that intelligent agents produce complex specified information.  The hypothesis would follow with predictions of design.  For experiments, one would one need to test whether scientific data has complex specified information.  The conclusion may follow as:  Because X exhibits high levels of complex specified information, a quality known to be a product of intelligence, therefore, life was designed.