Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Anticipatory Systems Theory
What the science
of Life and Mind
can teach us about
Science, Itself.
Dr. Robert Rosen (1934-1998) was the scientist
who developed Anticipatory Systems Theory.
(And for those who don't know;
h...
What's it for?
Anticipatory Systems Theory
elucidates
* Why living organisms are alive; what causes life
* How the signatu...
Life is information-based.

All living organisms have a system organization
type that incorporates the modeling relation,...
The Modeling Relation
Represents a Law Of Nature
When we build a model that is in this relation to the
system it represent...
What do models deal with?
Entailment!

There are two types of Entailment:
Causal Entailment and Inferential Entailment

...
Evidence That Both Life And Mind Are
Model-Based?
The Rampant Error Behaviors Peculiar To
Modeling, Such As: False Positiv...
Somatic Anticipatory Error:
False prediction of the meaning of
sensory information, by models acting at
the somatic level.
Mental Anticipatory Error:
Intelligent organisms as Dual Anticipatory
Systems: Both soma and mind generate predictions
independently of one another, ...
Training vs Instinct
(Acquired Models vs Inherited Models)
News Flash: We Are All “Pavlovian”
Why Monogamy Is Hard:
Human Mind vs Human Libido
More Evidence of Model-Guided
Behavior: Blind Auto-Pilots
 Pareidolia: The human
tendency to see faces
everywhere.
That Kind Of Model-Based Identification
Error Is Not Just A Human Experience...
For example, several
species of orchid hav...
Mental “Auto-Pilot” Models-- Manifested As
Behaviors, Habits, And Compulsions.
Once we encode and
reinforce a behavior
pat...
Mind/Body Interactions: Somatic Models and
Mental Models Interpreting One Another...
(sometimes incorrectly)

Psychosomat...
Given That The Modeling Relation Is
About Entailment,
And Models Are Prone To Error...
What Does That Mean For Science?

...
From my point of view, one of the biggest
problems in Science is due to the fact that
Rene Descartes was not a Biologist.
...
Reductionist approaches work
fairly well with Machines
and with non-living systems...
However, when we treat
living organi...
Because of the Machine Metaphor,
Science has become synonymous with a
machine-perspective. We define
“Objectivity” accordi...
Another legacy of the Machine Metaphor
is the lack of any notion of “health” in
Science-- even Medical Science.
The concep...
The models upon which all other models
are based in every living organism are:

An internal model for
“Self”

An interna...
What should a New Definition for
Scientific “Objectivity” Be, if it is not
useful to base it on a machine mindset?
A commi...
The Similarities and Differences
Between Beliefs and Science...

Both involve mental modeling activities.

Both seek to ...
Anchoring to Nature/Reality is Hard
Work-- and Often Uncomfortable!
The Difference Between Science Fiction
and Science...

Science models must be anchored to reality and
constantly checked ...
Star Trek Medical TriCorder
Other Star Trek Technologies...
The Common Aspect of Science, Belief,
Fiction, Life, and Mind...
Is Modeling
Where some
encoded,
constructed, or
otherwise...
The Aspect of Modeling That
Differentiates Science From All Other
Model-Based Activity is Arrow #4
DECODING:
Checking the
...
A General Theory Of Modeling
Would Be A Natural Consequence of
Anticipatory Systems Theory
Aspects To Be Included In The D...
NeN
You’ve finished this document.
Download and read it offline.
Upcoming SlideShare
Apresentação A Assessora
Next
Upcoming SlideShare
Apresentação A Assessora
Next
Download to read offline and view in fullscreen.

Share

"Anticipatory Systems Theory: What the science of Life and Mind can teach us about science, itself"

Download to read offline

Judith Rosen ISSS 2016 Plenary:

Related Books

Free with a 30 day trial from Scribd

See all

Related Audiobooks

Free with a 30 day trial from Scribd

See all

"Anticipatory Systems Theory: What the science of Life and Mind can teach us about science, itself"

  1. 1. Anticipatory Systems Theory What the science of Life and Mind can teach us about Science, Itself.
  2. 2. Dr. Robert Rosen (1934-1998) was the scientist who developed Anticipatory Systems Theory. (And for those who don't know; he was also my father.)
  3. 3. What's it for? Anticipatory Systems Theory elucidates * Why living organisms are alive; what causes life * How the signature of life-- the behaviors and capacities peculiar to living organisms-- can be fully characterized in a rigorously scientific manner * What aspects or qualities of the system are generating that signature
  4. 4. Life is information-based.  All living organisms have a system organization type that incorporates the modeling relation, itself, into the system.  All living organisms use a model-based system guidance and control strategy.  All living organisms have sensory capacity for information-gathering purposes and have internal capacities for interpreting incoming sensory information (i.e. predicting what it means).
  5. 5. The Modeling Relation Represents a Law Of Nature When we build a model that is in this relation to the system it represents, then-- and ONLY then-- we can safely rely on the predictions it generates about the system of interest.
  6. 6. What do models deal with? Entailment!  There are two types of Entailment: Causal Entailment and Inferential Entailment  Encoding of causal entailment into inferential entailment, when done correctly, allows accurate prediction of causal processes.  This is how life and mind both work. It is, in fact, responsible for the Anticipatory nature of life, and is the source of the signature we recognize as life or mind.
  7. 7. Evidence That Both Life And Mind Are Model-Based? The Rampant Error Behaviors Peculiar To Modeling, Such As: False Positives, False Negatives, Identification Mistakes, Assumptions, etc. The truth is that you can fool a model!
  8. 8. Somatic Anticipatory Error: False prediction of the meaning of sensory information, by models acting at the somatic level.
  9. 9. Mental Anticipatory Error:
  10. 10. Intelligent organisms as Dual Anticipatory Systems: Both soma and mind generate predictions independently of one another, but those predictive/interpretive capacities also constantly interact with one another... New Mental Model: Orange and black (Monarch) butterflies are BAD!
  11. 11. Training vs Instinct (Acquired Models vs Inherited Models) News Flash: We Are All “Pavlovian”
  12. 12. Why Monogamy Is Hard: Human Mind vs Human Libido
  13. 13. More Evidence of Model-Guided Behavior: Blind Auto-Pilots  Pareidolia: The human tendency to see faces everywhere.
  14. 14. That Kind Of Model-Based Identification Error Is Not Just A Human Experience... For example, several species of orchid have evolved flowers which mimic the shape and scent of virginal female bees of various species-- to the degree that males of those species regularly try to mate with the flowers, thereby pollinating them.
  15. 15. Mental “Auto-Pilot” Models-- Manifested As Behaviors, Habits, And Compulsions. Once we encode and reinforce a behavior pattern, it can be VERY difficult to change it.
  16. 16. Mind/Body Interactions: Somatic Models and Mental Models Interpreting One Another... (sometimes incorrectly)  Psychosomatic Illness  Placebo Effect  Post-Traumatic Stress Disorder (PTSD)  Panic Attacks  Addictive and Aversive Behavior
  17. 17. Given That The Modeling Relation Is About Entailment, And Models Are Prone To Error... What Does That Mean For Science?  Science is a Human Pursuit. It's about building a model of how the universe works. Because the human mind is, itself, model- based... it is natural that Science would be also.
  18. 18. From my point of view, one of the biggest problems in Science is due to the fact that Rene Descartes was not a Biologist. This has led to a very poor conceptualization of how life works.
  19. 19. Reductionist approaches work fairly well with Machines and with non-living systems... However, when we treat living organisms as if they really are “just like machines”, we get into serious trouble-- and don't understand why.
  20. 20. Because of the Machine Metaphor, Science has become synonymous with a machine-perspective. We define “Objectivity” accordingly.
  21. 21. Another legacy of the Machine Metaphor is the lack of any notion of “health” in Science-- even Medical Science. The concept of “Function” is not supported by the foundations of Science because it seems, from within the Model we have built of the universe, to suggest the fingerprint of God.
  22. 22. The models upon which all other models are based in every living organism are:  An internal model for “Self”  An internal model for “Health” (of “Self”)  An internal capacity for interpreting all incoming sensory information according to “Optimality” (what is better or worse for Health of Self)...
  23. 23. What should a New Definition for Scientific “Objectivity” Be, if it is not useful to base it on a machine mindset? A commitment to ALWAYS decode to Reality instead of Belief: A firm commitment to anchor oneself to Nature and refuse to be seduced by money or prestige into doing anything less.
  24. 24. The Similarities and Differences Between Beliefs and Science...  Both involve mental modeling activities.  Both seek to answer some of the same questions.  Both discuss entailment. HOWEVER...  Science anchors itself to-- and checks itself against-- Nature/Reality.  Belief relies on mental models that have not been, and often cannot be, decoded to Reality.
  25. 25. Anchoring to Nature/Reality is Hard Work-- and Often Uncomfortable!
  26. 26. The Difference Between Science Fiction and Science...  Science models must be anchored to reality and constantly checked against reality.  Science Fiction models need only be internally consistent. And yet, the thought- experiments of Science Fiction can be incredibly useful in Science. Consider Star Trek and its many inspirations...
  27. 27. Star Trek Medical TriCorder
  28. 28. Other Star Trek Technologies...
  29. 29. The Common Aspect of Science, Belief, Fiction, Life, and Mind... Is Modeling Where some encoded, constructed, or otherwise chosen system represents a different, separate system of interest.
  30. 30. The Aspect of Modeling That Differentiates Science From All Other Model-Based Activity is Arrow #4 DECODING: Checking the predictions generated by the model against the behavior of the system it represents. Are they accurate?
  31. 31. A General Theory Of Modeling Would Be A Natural Consequence of Anticipatory Systems Theory Aspects To Be Included In The Development Of Such A Theory Would Be: *Elucidate the Modeling Relation Fully *Investigate All The Ways That Modeling Can Fail *Create Diagnostic Maps Whereby Error Behaviors Predict Causes and Remedies * OTHER
  32. 32. NeN
  • crbazevedo

    Apr. 28, 2017

Judith Rosen ISSS 2016 Plenary:

Views

Total views

429

On Slideshare

0

From embeds

0

Number of embeds

8

Actions

Downloads

20

Shares

0

Comments

0

Likes

1

×