Constraints and Indications • 1

Re: Peirce ListChristophe MenantJon AwbreyChristophe Menant

The system-theoretic concept of constraint is one that unifies a manifold of other notions — definition, determination, habit, information, law, predicate, regularity, and so on.  Indeed, it is often the best way to understand these concepts.

Entwined with the concept of constraint is the concept of information, the power signs bear to reduce uncertainty and advance inquiry.  Asking what consequences those ideas have for Peirce’s theory of triadic sign relations led me some years ago to the following thoughts.

Here I am thinking of the concept of constraint that constitutes one of the fundamental ideas of classical cybernetics and mathematical systems theory.

For example, here is how Ashby introduces the concept of constraint in his Introduction to Cybernetics (1956).

A most important concept, with which we shall be much concerned later, is that of constraint.  It is a relation between two sets, and occurs when the variety that exists under one condition is less than the variety that exists under another.  Thus, the variety of the human sexes is 1 bit;  if a certain school takes only boys, the variety in the sexes within the school is zero;  so as 0 is less than 1, constraint exists.  (1964 ed., p. 127).

At its simplest, then, constraint is just an aspect of the subset relation.

The objective of an agent, organism, or similar regulator is to keep within its viable region, a particular subset of its possible state space.  That is the constraint of primary interest to the agent.

Incidentally, Ashby’s book, in my estimation still the best introduction to classical cybernetics going, is available online in PDF form:

  • Ashby, W.R. (1956), Introduction to Cybernetics, Methuen, London, UK.  Online.
This entry was posted in Adaptive Systems, Artificial Intelligence, Ashby, C.S. Peirce, Constraint, Control, Cybernetics, Determination, Error-Controlled Regulation, Feedback, Indication, Indicator Functions, Information, Inquiry, Inquiry Driven Systems, Intelligent Systems, Intentionality, Learning Theory, Peirce, Semiotic Information, Semiotics, Systems Theory, Uncertainty and tagged , , , , , , , , , , , , , , , , , , , , , , . Bookmark the permalink.

2 Responses to Constraints and Indications • 1

  1. Pingback: Constraints and Indications : 2 | Inquiry Into Inquiry

  2. Pingback: Conceptual Barriers • 1 | Inquiry Into Inquiry

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