Theory and Therapy of Representations • 3

Representation is a concept we find at the intersection of cybernetics, epistemology, logic, mathematics, psychology, and sociology.  In my studies it led me from math to psych and back again, with sidelong glances at the history of democratic governance.  Its time come round again, I find myself returning to the scenes of two recurring questions.

Scene 1.  Pragmatic Truth • Discussion 18

We do not live in axiom systems.  We do not live encased in languages, formal or natural.  There is no reason to think we will ever have exact and exhaustive theories of what’s out there, and the truth, as we know, is “out there”.  Peirce understood there are more truths in mathematics than are dreamt of in logic — and Gödel’s realism should have put the last nail in the coffin of logicism — but some ways of thinking just never get a clue.

That brings us to Question 1 —

  • What are formalisms and all their embodiments in brains and computers good for?

Scene 2.  Theory and Therapy of Representations • 1

Statistics were originally the data a ship of state needed for stationkeeping and staying on course.  The Founders of the United States, like the Cybernauts of the Enlightenment they were, engineered a ship of state with checks and balances and error‑controlled feedbacks for the sake of representing both reality and the will of the people.  In that connection Max Weber saw how a state’s accounting systems are intended as representations of realities its crew and passengers must observe or perish.

That brings us to Question 2 —

  • What are the forces distorting our representations of what’s observed, what’s expected, and what’s intended?

Resources

cc: Academia.eduBlueSkyLaws of FormMathstodonResearch Gate
cc: Conceptual GraphsCyberneticsStructural ModelingSystems Science

Posted in Accountability, Adaptive Systems, C.S. Peirce, Cybernetics, Democracy, Economics, Education, Expectation, Governance, Information, Inquiry, Intention, Justice, Law, Logic, Max Weber, Observation, Plato, Pragmata, Representation, Science, Semiotics, Society, Statistics, Systems Theory | Tagged , , , , , , , , , , , , , , , , , , , , , , , , | 4 Comments

Theory and Therapy of Representations • 2

December 19, 2011

In a complex society, people making decisions and taking actions at places remote from you have the power to affect your life in significant ways.  Those people govern your life, they are your government, no matter what spheres of influence they inhabit, private or public.  The only way you get a choice in that governance is if there are paths of feedback permitting you to affect the life of those decision makers and action takers in significant ways.  That is what accountability, response-ability, and representative government are all about.

Naturally, some people are against that.

In the United States there has been a concerted campaign for as long as I can remember — but even more concerted since the Reagan Regime — to get the People to abdicate their hold on The Powers That Be and just let some anonymous corporate entity send us the bill after the fact.  They keep trying to con the People into thinking they can starve the beast, to limit government, when what they are really doing is feeding the beast of corporate control, weakening their own power over the forces that govern their lives.

That is the road to perdition as far as responsible government goes.  There is not much of anything one leader or one administration can do unsupported if the People do not constantly demand a government of, by, and for the People.

Resource

cc: Academia.eduBlueSkyLaws of FormMathstodonResearch Gate
cc: Conceptual GraphsCyberneticsStructural ModelingSystems Science

Posted in Accountability, Adaptive Systems, C.S. Peirce, Cybernetics, Democracy, Economics, Education, Expectation, Governance, Information, Inquiry, Intention, Justice, Law, Logic, Max Weber, Observation, Plato, Pragmata, Representation, Science, Semiotics, Society, Statistics, Systems Theory | Tagged , , , , , , , , , , , , , , , , , , , , , , , , | 3 Comments

Theory and Therapy of Representations • 1

Again, in a ship, if a man were at liberty to do what he chose, but were devoid of mind and excellence in navigation (αρετης κυβερνητικης), do you perceive what must happen to him and his fellow sailors?

Plato • Alcibiades • 135 A

Statistics were originally the data a ship of state needed for stationkeeping and staying on course.  The Founders of the United States, like the Cybernauts of the Enlightenment they were, engineered a ship of state with checks and balances and error‑controlled feedbacks for the sake of representing both reality and the will of the people.  In that connection Max Weber saw how a state’s accounting systems are intended as representations of realities its crew and passengers must observe or perish.

The question for our time is —

  • What are the forces distorting our representations of what’s observed, what’s expected, and what’s intended?

Repercussions

Resource

cc: Academia.eduBlueSkyLaws of FormMathstodonResearch Gate
cc: Conceptual GraphsCyberneticsStructural ModelingSystems Science

Posted in Accountability, Adaptive Systems, C.S. Peirce, Cybernetics, Democracy, Economics, Education, Expectation, Governance, Information, Inquiry, Intention, Justice, Law, Logic, Max Weber, Observation, Plato, Pragmata, Representation, Science, Semiotics, Society, Statistics, Systems Theory | Tagged , , , , , , , , , , , , , , , , , , , , , , , , | 4 Comments

Basal Ingredients Of Society • ℞

THE SOCIAL COMPACT

If then we discard from the social compact what is not of its essence, we shall find that it reduces itself to the following terms:

“Each of us puts his person and all his power in common under the supreme direction of the general will, and, in our corporate capacity, we receive each member as an indivisible part of the whole.”

Reference

  • Jean Jacques Rousseau, “The Social Contract”, G.D.H. Cole (trans.),
    Great Books of The Western World, Volume 38.

Resource

cc: Academia.eduBlueSkyLaws of FormMathstodonResearch Gate
cc: Conceptual GraphsCyberneticsStructural ModelingSystems Science

Posted in Adaptive Systems, Cybernetics, Democracy, Education, Governance, Inquiry, Inquiry Driven Systems, Learning Organizations, Politics, Reciprocity, Rousseau, Social Compact, Sustainability | Tagged , , , , , , , , , , , , | 3 Comments

Basal Ingredients Of Society • Prologue

I settled on the acronym BIOS to suggest the vital elements of life in society, a life in association with others, and not just any association but one whose flickers of life are sustained for more than a few vicissitudes of history.  Sustainability in that life requires democracy, a society based on a distinctive form of social compact.

Resource

cc: Academia.eduBlueSkyLaws of FormMathstodonResearch Gate
cc: Conceptual GraphsCyberneticsStructural ModelingSystems Science

Posted in Adaptive Systems, Cybernetics, Democracy, Education, Governance, Inquiry, Inquiry Driven Systems, Learning Organizations, Politics, Reciprocity, Rousseau, Social Compact, Sustainability | Tagged , , , , , , , , , , , , | 3 Comments

Tenacity, Authority, Plausibility, Inquiry

Re: Peter CameronMathematics and Logic

My favorite polymathematician, Charles Sanders Peirce, gave a fourfold classification of what he called “methods of fixing belief”, or “settling opinion”, most notably and seminally in his paper, “The Fixation of Belief” (1877).  Adjusting his nomenclature very slightly, if only for the sake of preserving a mnemonic rhyme scheme, we may refer to his four types as Tenacity, Authority, Plausibility (à priori pleasing praiseworthiness), and full-fledged Scientific Inquiry.

Reference

  • Peirce, C.S. (1877), “The Fixation of Belief”, Popular Science Monthly 12, 1–15.  Online.

cc: Academia.eduBlueSkyLaws of FormMathstodonResearch Gate
cc: Conceptual GraphsCyberneticsStructural ModelingSystems Science

Posted in Authority, Belief, Belief Fixation, C.S. Peirce, Fixation of Belief, Inquiry, Logic, Method, Philosophy of Science, Plausibility, Science, Scientific Inquiry, Scientific Method, Tenacity, Uncertainty | Tagged , , , , , , , , , , , , , , | 3 Comments

Interpreter and Interpretant • Selection 10

Transfer

Returning to the scene of Dewey’s “Sign of Rain” example, let’s continue examining how the transfer of knowledge through the analogy of experience works in that case.

By way of a recap, we began by considering a fragment K_\mathrm{pres} of the reasoner’s knowledge base which is logically equivalent to a conjunction of two rules.

K_\mathrm{pres} \Leftrightarrow (B \Rightarrow A) \land (B \Rightarrow D).

K_\mathrm{pres} may be thought of as a piece of knowledge or item of information allowing for the possibility of certain conditions, expressed in the form of a logical constraint on the present universe of discourse.

Next we found it convenient to express all logical statements in terms of their models, that is, in terms of the primitive circumstances or elements of experience over which they hold true.

  • Let E_\mathrm{past} be the chosen set of experiences, or the circumstances in mind under “past experience”.
  • Let E_\mathrm{poss} be the collective set of experiences, or the prospective total of possible circumstances.
  • Let E_\mathrm{pres} be the current experience, or the circumstances immediately present to the reasoner.

If we think of the knowledge base K_\mathrm{pres} as referring to the “regime of experience” over which it is valid, then the sets of models involved in the analogy may be ordered according to the relationships of set inclusion or logical implication existing among them.

Figure 4 shows the subsumption relations involved in the analogy of experience.

Analogy of Experience
\text{Figure 4. Analogy of Experience}

In logical terms, the analogy of experience proceeds by inducing a Rule about the validity of a current knowledge base and then by deducing a Fact, the applicability of that knowledge base to a current experience.

  • Step 1 is Inductive, abstracting a Rule from a Case and a Fact.

\begin{array}{lll}  E_\mathrm{past} \Rightarrow E_\mathrm{poss}, & \text{Chosen events fairly sample Collective events.} & \text{Case} \\  E_\mathrm{past} \Rightarrow K_\mathrm{pres}, & \text{Chosen events support the Knowledge regime.} & \text{Fact} \\  \hline  E_\mathrm{poss} \Rightarrow K_\mathrm{pres}, & \text{Collective events support the Knowledge regime.} & \text{Rule}  \end{array}

  • Step 2 is Deductive, admitting a Case to a Rule and arriving at a Fact.

\begin{array}{lll}  E_\mathrm{pres} \Rightarrow E_\mathrm{poss}, & \text{Current events fairly sample Collective events.} & \text{Case} \\  E_\mathrm{poss} \Rightarrow K_\mathrm{pres}, & \text{Collective events support the Knowledge regime.} & \text{Rule} \\  \hline  E_\mathrm{pres} \Rightarrow K_\mathrm{pres}, & \text{Current events support the Knowledge regime.} & \text{Fact}  \end{array}

References

  • Awbrey, J.L., and Awbrey, S.M. (1995), “Interpretation as Action : The Risk of Inquiry”, Inquiry : Critical Thinking Across the Disciplines 15(1), 40–52.  ArchiveJournal.  Online (doc) (pdf).
  • Dewey, J. (1910), How We Think, D.C. Heath, Boston, MA.  Reprinted (1991), Prometheus Books, Buffalo, NY.  Online.

Resources

cc: Academia.eduBlueSkyLaws of FormMathstodonResearch Gate
cc: Conceptual GraphsCyberneticsStructural ModelingSystems Science

Posted in C.S. Peirce, Hermeneutics, Interpretation, Interpretive Frameworks, Logic, Logical Graphs, Objective Frameworks, Relation Theory, Semiotics, Sign Relations, Triadic Relations, Visualization | Tagged , , , , , , , , , , , | 4 Comments

Interpreter and Interpretant • Selection 9

Transfer

Let’s examine how the transfer of knowledge through the analogy of experience works in the case of Dewey’s “Sign of Rain” example.

For concreteness, consider a fragment K_\mathrm{pres} of the reasoner’s knowledge base which is logically equivalent to a conjunction of two rules.

K_\mathrm{pres} \Leftrightarrow (B \Rightarrow A) \land (B \Rightarrow D).

K_\mathrm{pres} may be thought of as a piece of knowledge or item of information allowing for the possibility of certain conditions, expressed in the form of a logical constraint on the present universe of discourse.

It is convenient to have the option of expressing all logical statements in terms of their models, that is, in terms of the primitive circumstances or elements of experience over which they hold true.

  • Let E_\mathrm{past} be the chosen set of experiences, or the circumstances in mind under “past experience”.
  • Let E_\mathrm{poss} be the collective set of experiences, or the prospective total of possible circumstances.
  • Let E_\mathrm{pres} be the current experience, or the circumstances immediately present to the reasoner.

If we think of the knowledge base K_\mathrm{pres} as referring to the “regime of experience” over which it is valid, then the sets of models involved in the analogy may be ordered according to the relationships of set inclusion or logical implication existing among them.

In logical terms, the analogy of experience proceeds by inducing a Rule about the validity of a current knowledge base and then by deducing a Fact, the applicability of that knowledge base to a current experience.

  • Step 1 is Inductive, abstracting a Rule from a Case and a Fact.

\begin{array}{lll}  E_\mathrm{past} \Rightarrow E_\mathrm{poss}, & \text{Chosen events fairly sample Collective events.} & \text{Case} \\  E_\mathrm{past} \Rightarrow K_\mathrm{pres}, & \text{Chosen events support the Knowledge regime.} & \text{Fact} \\  \hline  E_\mathrm{poss} \Rightarrow K_\mathrm{pres}, & \text{Collective events support the Knowledge regime.} & \text{Rule}  \end{array}

  • Step 2 is Deductive, admitting a Case to a Rule and arriving at a Fact.

\begin{array}{lll}  E_\mathrm{pres} \Rightarrow E_\mathrm{poss}, & \text{Current events fairly sample Collective events.} & \text{Case} \\  E_\mathrm{poss} \Rightarrow K_\mathrm{pres}, & \text{Collective events support the Knowledge regime.} & \text{Rule} \\  \hline  E_\mathrm{pres} \Rightarrow K_\mathrm{pres}, & \text{Current events support the Knowledge regime.} & \text{Fact}  \end{array}

References

  • Awbrey, J.L., and Awbrey, S.M. (1995), “Interpretation as Action : The Risk of Inquiry”, Inquiry : Critical Thinking Across the Disciplines 15(1), 40–52.  ArchiveJournal.  Online (doc) (pdf).
  • Dewey, J. (1910), How We Think, D.C. Heath, Boston, MA.  Reprinted (1991), Prometheus Books, Buffalo, NY.  Online.

Resources

cc: Academia.eduBlueSkyLaws of FormMathstodonResearch Gate
cc: Conceptual GraphsCyberneticsStructural ModelingSystems Science

Posted in C.S. Peirce, Hermeneutics, Interpretation, Interpretive Frameworks, Logic, Logical Graphs, Objective Frameworks, Relation Theory, Semiotics, Sign Relations, Triadic Relations, Visualization | Tagged , , , , , , , , , , , | 4 Comments

Interpreter and Interpretant • Selection 8

Transfer

What exactly gives the acquisition of a knowledge base its distinctively inductive character?  It is evidently the “analogy of experience” involved in applying what we’ve learned in the past to what confronts us in the present.

Whenever we find ourselves approaching a problem with the thought, If past experience is any guide … we can be sure the analogy of experience has come into play.  We are seeking to find analogies between past experience as a totality and present experience as a point of application.

From a statistical point of view what we mean is this — “If past experience is a fair sample of possible experience then knowledge gained from past experience may usefully apply to present experience”.  It is that mechanism which allows a knowledge base to be carried across gulfs of experience which remain indifferent to the effective contents of its rules.

Next we’ll examine how the transfer of knowledge through the analogy of experience works out in the case of Dewey’s “Sign of Rain” example.

References

  • Awbrey, J.L., and Awbrey, S.M. (1995), “Interpretation as Action : The Risk of Inquiry”, Inquiry : Critical Thinking Across the Disciplines 15(1), 40–52.  ArchiveJournal.  Online (doc) (pdf).
  • Dewey, J. (1910), How We Think, D.C. Heath, Boston, MA.  Reprinted (1991), Prometheus Books, Buffalo, NY.  Online.

Resources

cc: Academia.eduBlueSkyLaws of FormMathstodonResearch Gate
cc: Conceptual GraphsCyberneticsStructural ModelingSystems Science

Posted in C.S. Peirce, Hermeneutics, Interpretation, Interpretive Frameworks, Logic, Logical Graphs, Objective Frameworks, Relation Theory, Semiotics, Sign Relations, Triadic Relations, Visualization | Tagged , , , , , , , , , , , | 4 Comments

Interpreter and Interpretant • Selection 7

Learning

Rules in a knowledge base, as far as their effective content goes, can be obtained by any mode of inference.  For example, consider a proposition of the following form.

\begin{array}{lll}  B \Rightarrow A, & \text{``just Before it rains, the Air is cool."} & ~  \end{array}

Such a proposition is usually induced from a consideration of many past events.  The inductive inference may be observed to fit the following pattern.

\begin{array}{lll}  C \Rightarrow B, & \text{``in Certain events, it is just Before it rains".} & \textsc{Case} \\  C \Rightarrow A, & \text{``in Certain events, the Air is cool."} & \textsc{Fact} \\  \hline  B \Rightarrow A, & \text{``just Before it rains, the Air is cool."} & \textsc{Rule}  \end{array}

However, the same proposition could also be abduced as an explanation of a singular occurrence or deduced as a conclusion of a prior theory.

References

  • Awbrey, J.L., and Awbrey, S.M. (1995), “Interpretation as Action : The Risk of Inquiry”, Inquiry : Critical Thinking Across the Disciplines 15(1), 40–52.  ArchiveJournal.  Online (doc) (pdf).
  • Dewey, J. (1910), How We Think, D.C. Heath, Boston, MA.  Reprinted (1991), Prometheus Books, Buffalo, NY.  Online.

Resources

cc: Academia.eduBlueSkyLaws of FormMathstodonResearch Gate
cc: Conceptual GraphsCyberneticsStructural ModelingSystems Science

Posted in C.S. Peirce, Hermeneutics, Interpretation, Interpretive Frameworks, Logic, Logical Graphs, Objective Frameworks, Relation Theory, Semiotics, Sign Relations, Triadic Relations, Visualization | Tagged , , , , , , , , , , , | 4 Comments