A new look
at how we know what we know
Principles of
description
Copyright 2016 Graham Berrisford. Now a chapter in “the
book” at https://bit.ly/2yXGImr. Last
updated 24/02/2021 15:33
The first half the book addresses the questions: What is a system? How does system theory apply to the description of business and software systems? The second half address a more fundamental question: What is a description? This chapter is a brief abstract of principles to be introduced and explained in the chapters to follow.
Descartes is famously said to have started his philosophy from the premise “I think therefore I am”. Psycho-biologists presume more. They presume that, in space and time, there exist animals that can perceive phenomena, remember them and communicate about them.
Implicit in those premises is the idea that there was no description of reality before life. The Darwinian view is that both memories and messages are biological phenomenon that evolved to help animals survive. Remembering and sharing descriptions helps animals to understand, predict and manipulate things in reality, and so, improves their chance of reproducing.
“A biological approach to human knowledge naturally gives emphasis to the pragmatist view that theories [descriptions of reality] function as instruments of survival.” Stanford Encyclopedia of Philosophy
Chapter 7a starts with the idea that knowledge is a biological phenomenon. It describes the emergence of human intelligence and civilization from the biological evolution of animals, with reference to symbolic languages and the sharing of knowledge in writing. It discusses the following three principles.
Knowledge and description evolved in
biological organisms
The "second order cyberneticians" claimed that
· knowledge is a biological phenomenon (Maturana, 1970), that
· each individual constructs his or her own "reality" (Foerster, 1973) and that
· knowledge "fits" but does not "match" the world of experience (von Glasersfeld, 1987).
Stuart A. Umpleby (1994) The Cybernetics of Conceptual Systems. p. 3.
A good regulator
has a description of what it regulates
The good regulator |
Models <have
and use> <represent> Regulators <monitor
and regulate > Systems |
The question is not whether an animal or a business has a model; it is how complete and accurate is the model? To which the answers might be both “very incomplete and somewhat inaccurate” and “remarkably, complete and accurate enough”. Thinking about this leads inexorably to the view of description and reality outlined in the following chapters.
Consciousness enables us to compare the past, present
and future
Consciousness is a process that, among other things, enables us to compare descriptions of past, present and possible future phenomena.
Chapter 7b identifies three kinds of description (our main interest is in symbolic description) and details the semantics of the epistemological triangle used to illustrate points in other chapters. Read the triangle from left to right: describers <create and use> descriptions, which <represent> phenomena.
Our epistemology |
Descriptions <create and use> <represent> Describers <observe and envisage> Phenomena |
Descriptions created
(in mind, in speech, in writing, in mathematics, wherever) appear at the apex
rather than the left of the triangle.
Chapter7c may be seen as foundational to how we describe things. Alternatively, you can see it as an academic aside of interest to those with a mathematical bent. This chapter declares three principles (below) related to the creation and use of types, and discusses fuzziness in how well real-world things and phenomena instantiate types.
To
describe a thing is to typify it in terms of types already understood
“No statement which refers to a ‘reality’ transcending the limits of all sense-experience can possibly have any literal significance” Chapter 1 of “Language truth and logic” A J Ayer.
https://antilogicalism.com/wp-content/uploads/2017/07/language-truth-and-logic.pdf
Every
type is a description
Type name |
Type elaboration |
“Even number” |
“a number divisible by two”. |
“Triangle corner” |
“an angle between the two lines in a corner of a triangle” |
“Bird” |
“an animal with feathers and a beak” |
“Bird of prey” |
“a bird which feeds on other
animals” |
“Eagle” |
“a bird of prey with a wide wing
span” |
Together, the type name and elaboration
make an intensional definition or predicate statement of the form illustrated
below.
Intensional definition pattern Predicate statement type |
Intensional definition example Predicate statement instance |
A thing of the named type is a thing of a more general type with these particular features. |
A thing of the even number type is a number which is divisible by two. |
Every
description is a type
“The fact is that one cannot in language point to an object without describing it… And in describing a situation, one is not merely ‘registering’ a sense-content; one is classifying it in some way or other, and this means going beyond what is immediately given.” Chapter 5 of “Language truth and logic” A J Ayer.
A
description is not categorical – it cannot pin down a single object – since it
applies equally to any object in universe that shares the same description. E.g. Physicists
say there is nothing in their description of the universe that prevents
parallel universes from existing. Think of any particular thing; a molecule, a
game of chess, a galaxy, whatever. Write down a description of it. Perhaps the
thing you have described is unique. But there is nothing to prevent your
description being realized in more than one particular thing. To describe one
thing is to create a type to which other things might conform.
Chapter 7d outlines some information and communication theory. It features a WKID hierarchy, and the principle that in symbolic communication, coding is ubiquitous. It goes on to describe how message senders communicate, and so share knowledge, with message receivers. It discusses the following two principles.
A
description is meaningful to an actor only in the process of creating or using
it
The table below helps us to discuss a social system of communicating actors.
WKID |
meaning |
Wisdom |
the
ability to apply knowledge in new situations. |
Knowledge |
information that is accurate enough to be useful. |
Information |
meaning
created/encoded or found/decoded in data by an actor. |
Data |
a
structure of matter/energy in which information has been
created/encoded or found/decoded |
Coding
is ubiquitous in the creation, sharing and use of symbolic descriptions
A brain can encode some information in the structure
of its memory, which becomes useful later, when the brain decodes it, by
reversing the encoding process. Similarly, a brain can direct the mouth to
encode some information in spoken words, which become useful when a receiver
hears and decodes the message (using the language it was encoded in). The
information/meaning in the structure of memory or message exists in the
processes of encoding and decoding it.
Ashby observed that coding is ubiquitous in thought and communication. To create a description is to encode a model that represents some feature(s) of a phenomenon. To use a description is to decode it, then use it to respond to or manipulate whatever is described.
We
share knowledge by verifying descriptions we share
We clarify the information in a description by reducing noise and ambiguity, and verify the truth of information by empirical, logical and social means.
In short, the principles of description introduced above are.
· Knowledge and description evolved in biological organisms
· A good regulator has a description of what it regulates
· Consciousness is a process that enables us to compare the past, present and future.
· To describe a thing is to typify it in terms of types already understood
· Every type is a description
· Every description is a type
· A description is meaningful to an actor only in the process of creating or using it
· Coding is ubiquitous in the creation, use and sharing of symbolic descriptions
· We share knowledge by verifying descriptions we share
Chapter 8 summarizes some implications of these principles for
· system architecture – as defined in ISO/IEC 42010.
· semiotics – notably Peirce and Popper.
· philosophy – including the problem of universals
· mathematics – did numbers exist before life?
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