THE WORLD IS COMPLEX: - PowerPoint PPT Presentation

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THE WORLD IS COMPLEX:

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PROVIDE A UNIQUE, WORKABLE CONCEPT OF COMPLEXITY ... NOUN OR VERB OR ADJECTIVE? AN ORGANIZED DESK. AN ORGANIZED CORPORATION. AN ORGANIZED AUTOMOBILE ... – PowerPoint PPT presentation

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Title: THE WORLD IS COMPLEX:


1
THE WORLD IS COMPLEX  HOW TO DISTINGUISH
COMPLEXITY FROM COMPLICATION
  • D. C. Mikulecky
  • Professor Emeritus and Senior Fellow Center for
    the Study of Biological ComplexityVirginia
    Commonwealth University

2
WHAT I HOPE TO ACCOMPLISH
  • PROVIDE A UNIQUE, WORKABLE CONCEPT OF COMPLEXITY
  • MAKE A CLEAR DISTICTION BETWEEN THE REAL WORLD
    AND THOSE FORMAL THINGS WE DO TO TRY TO MODEL IT
  • SHOW HOW THE FORMAL DESCRIPTION OF THE REAL WORLD
    REDUCES IT TO SIMPLE MECHANISMS
  • EXPLAIN THE DIFFICULTY INHERENT IN THIS
    EPISTEMOLOGY
  • SHOW THAT THIS DEFINITION CAN BE IGNORED, BUT NOT
    WITHOUT SIGNIFICANT LOSS OF KNOWLEDGE

3
CAN WE DEFINE COMPLEXITY?
  • Complexity is the property of a real world
    system that is manifest in the inability of any
    one formalism being adequate to capture all its
    properties. It requires that we find distinctly
    different ways of interacting with systems.
    Distinctly different in
  • the sense that when we make successful
    models, the formal systems needed to describe
    each distinct aspect are NOT
  • derivable from each other

4
COMPLEXITY VS COMPLICATION
  • Von NEUMAN THOUGHT THAT A CRITICAL LEVEL OF
    SYSTEM SIZE WOULD TRIGGER THE ONSET OF
    COMPLEXITY (REALLY COMPLICATION)
  • COMPLEXITY IS MORE A FUNCTION OF SYSTEM QUALITIES
    RATHER THAN SIZE
  • COMPLEXITY RESULTS FROM BIFURCATIONS -NOT IN THE
    DYNAMICS, BUT IN THE DESCRIPTION!
  • THUS COMPLEX SYSTEMS REQUIRE THAT THEY BE ENCODED
    INTO MORE THAN ONE FORMAL SYSTEM IN ORDER TO BE
    MORE COMPLETELY UNDERSTOOD

5
NATURAL VS FORMAL SYSTEMS
  • THE REAL WORLD IS COMPLEX
  • WE HAVE TREATED IT FORMALLY AS IF IT WERE SIMPLE
  • THE RESULT IS THE DISCOVERY OF COMPLEXITY,
    EMERGENCE,ETC.
  • THE IDEA IS BEST SEEN USING THE MODELING RELATION

6
THE MODELING RELATION THE ESSENCE OF SCIENCE
  • ALLOWS US TO ASSIGN MEANING TO THE WORLD AROUND
    US
  • A MODEL OF OUR THINKING PROCESS
  • CAUSALITY IN THE NATURAL SYSTEM IS DEALT WITH
    THROUGH IMPLICATION IN A FORMAL SYSTEM
  • THERE IS AN ENCODING OF THE NATURAL SYSTEM INTO
    THE FORMAL SYSTEM AND A DECODING BACK
  • WHEN IT ALL HANGS TOGETHER WE HAVE A MODEL

7
THE MODELING RELATION A MODEL OF HOW WE MAKE
MODELS
ENCODING
NATURAL SYSTEM
FORMAL SYSTEM
CAUSAL EVENT
IMPLICATION
DECODING
FORMAL SYSTEM
NATURAL SYSTEM
8
WE HAVE A USEFUL MODEL WHEN
AND
ARE SATISFACTORY WAYS OF UNDERSTANDING THE
CHANGE IN THE WORLD OUT THERE
9
THE MODELING RELATION A MODEL OF HOW WE MAKE
MODELS
ENCODING
NATURAL SYSTEM
FORMAL SYSTEM
CAUSAL EVENT
MANIPULATION
DECODING
FORMAL SYSTEM
NATURAL SYSTEM
10
WHAT TRADITIONAL SCIENCE DID TO THE MODELING
RELATION
FORMAL SYSTEM
NATURAL SYSTEM
MANIPULATION
CAUSAL EVENT
FORMAL SYSTEM
NATURAL SYSTEM
11
WHAT TRADITIONAL SCIENCE DID TO THE MODELING
RELATION
FORMAL SYSTEM
NATURAL SYSTEM
MANIPULATION
FORMAL SYSTEM
NATURAL SYSTEM
12
SCIENCE REDUCED THE WORLD TO SIMPLE MECHANISMS
  • THE USUAL SCIENTIFIC PICTURE OF REALITY IS A
    MECHANISM
  • DEFICIENT IN CAUSAL RELATIONS
  • FRAGMENTABLE TO ATOMS AND MOLECULES
  • NOT GENERIC BUT TREATED AS IF THEY WERE

13
COMPLEXITY
  • REQUIRES A CIRCLE OF IDEAS AND METHODS THAT
    DEPART RADICALLY FROM THOSE TAKEN AS AXIOMATIC
    FOR THE PAST 300 YEARS
  • OUR CURRENT SYSTEMS THEORY, INCLUDING ALL THAT IS
    TAKEN FROM PHYSICS OR PHYSICAL SCIENCE, DEALS
    EXCLUSIVELY WITH SIMPLE SYSTEMS OR MECHANISMS
  • COMPLEX AND SIMPLE SYSTEMS ARE DISJOINT
    CATEGORIES

14
COMPLEX SYSTEMS VS SIMPLE MECHANISMS
  • COMPLEX
  • NO LARGEST MODEL
  • WHOLE MORE THAN SUM OF PARTS
  • CAUSAL RELATIONS RICH AND INTERTWINED
  • GENERIC
  • ANALYTIC ? SYNTHETIC
  • NON-FRAGMENTABLE
  • NON-COMPUTABLE
  • REAL WORLD
  • SIMPLE
  • LARGEST MODEL
  • WHOLE IS SUM OF PARTS
  • CAUSAL RELATIONS DISTINCT
  • N0N-GENERIC
  • ANALYTIC SYNTHETIC
  • FRAGMENTABLE
  • COMPUTABLE
  • FORMAL SYSTEM

15
WHY IS ORGANIZATION SPECIAL? BEYOND MERE ATOMS
AND MOLECULES
  • IS THE WHOLE MORE THAN THE SUM OF ITS PARTS?
  • IF IT IS THERE IS SOMETHING THAT IS LOST WHEN WE
    BREAK IT DOWN TO ATOMS AND MOLECULES
  • THAT SOMETHING MUST EXIST

16
WHAT IS ORGANIZATION?
DICTIONARY DEFINITION NOUN 1. THE ACT OR
PROCESS OF BEING ORGANIZED 2.THE CONDITION OR
MANNER OF BEING ORGANIZED (ALSO ASSOCIATION OR
SOCIETY AND ITS PERSONNEL)
17
TO ORGANIZE
DICTIONARY DEFINITION VERB 1. TO CAUSE OR
DEVELOP AN ORGANIC STRUCTURE 2. TO ARRANGE OR
FORM INTO A COHERENT UNITYOR FUNCTIONING WHOLE,
TO INTEGRATE 3. TO ARRANGE ELEMENTS INTO A
WHOLE OF INTERDEPENDENT PARTS
18
NOUN OR VERB OR ADJECTIVE?
  • AN ORGANIZED DESK
  • AN ORGANIZED CORPORATION
  • AN ORGANIZED AUTOMOBILE
  • AN ORGANIZED FROG
  • AN ORGANIZED ECOSYSTEM

19
WHAT MAKES BIOLOGICAL ORGANIZATION UNIQUE?
  • SELF-REFERENCE
  • CONTINGENCY
  • PARALLEL DISTRIBUTION
  • MAPPINGS ARE MANY TO MANY RATHER THAN ONE TO ONE
  • CAUSALITY IS INTERTWINED
  • CATABOLISM AND ANABOLISM ARE BOTH IMPORTANT
  • MECHANISMS ARE SPECIAL

20
EVEN IN THE WORLD OF MECHANISMS THERE ARETHE
SEEDS OF COMPLEXITY THEORY
  • THERMODYNAMIC REASONING
  • OPEN SYSTEMS THERMODYNAMICS
  • NETWORK THERMODYNAMICS

21
THE NATURE OF THERMODYNAMIC REASONING
  • THERMODYNAMICS IS ABOUT THOSE PROPERTIES OF
    SYSTEMS WHICH ARE TRUE INDEPENDENT OF MECHANISM
  • THEREFORE WE CAN NOT LEARN TO DISTINGUISH
    MECHANISMS BY THERMODYNAMIC REASONING

22
WHAT HAVE WE LEARNED?
  • FORMALISMS HAVE LIMITS (GÖDEL)
  • THEREFORE ONE FORMALISM IS NOT ENOUGH
  • MECHANISTIC FORMALISMS ARE INADEQUATE FOR CERTAIN
    PROPERTIES, IN PARTICULAR CHANGES IN ORGANIZATION

23
THE RELATIONAL APPROACH TO A COMPLEX REALITY
  • FOCUS ON THE ORGANIZATION
  • DEVELOP A SET OF FUNCTIONAL COMPONENTS WHICH
    CAPTURE THAT ORGANIZATION
  • UTILIZE THE CAUSAL RELATIONS RESULTING FROM
    ANSWERING WHY?

24
FUNCTIONAL COMPONENTS
  • MUST POSSESS ENOUGH IDENTITY TO BE CONSIDERED A
    THING
  • MUST BE ABLE TO ACQUIRE PROPERTIES FROM LARGER
    SYSTEMS TO WHICH IT MAY BELONG
  • ITS FORMAL IMAGE IS A MAPPING
    f A -----gt B
  • THIS INTRODUCES A NEW KIND OF DYNAMICS
    RELATIONAL

25
THE RELATIONAL DEFINITION OF INFORMATION
  • SCIENCE HAS ASKED HOW? AND AS A RESULT HAD A
    MECHANISTIC DEFINITION OF INFORMATION
  • THIS HAS INHERENT PROBLEMS SINCE IT CAN NOT DEAL
    WITH SEMANTICS AND SELF-REFERENCE
  • WE ASK WHY? AND ARE IMMEDIATELY FORCED TO DEAL
    WITH CAUSAL ENTAILMENT
  • THE RESULT IS PROFOUND IN THAT WE NOW DEAL WITH
    THE ESSENCE OF THAT SOMETHING THAT MAKES THE
    WHOLE MORE THAN THE SUM OF ITS PARTS-THE MISSING
    LINK IN REDUCTIONISM
  • WE NOW ARE FORCED TO DEAL WITH CLOSED LOOPS OF
    CAUSALITY AND OTHER IMPREDICATIVITIES (SORRY
    RUSSEL)

26
THE FOUR BECAUSES WHY A HOUSE?
  • MATERIAL THE STUFF ITS MADE OF
  • EFFICIENT IT NEEDED A BUILDER
  • FORMAL THERE WAS A BLUEPRINT
  • FINAL IT HAS A PURPOSE

27
METABOLISM/REPAIR SYSTEMS
  • BASED ON INPUT/OUTPUT REPRESENTATIONS OF SYSTEMS
  • MORE ABSTRACT
  • ALLOW CAUSALITY TO BE REPRESENTED
  • LEAD TO NEW INFORMATION
  • ARE BASED ON RECOGNITION THAT BUILDING UP AND
    TEARING DOWN ARE PART OF THE LIFE PROCESS

28
THE RELATIONAL REPRESENTATION
  • INVOLVES MAPPINGS
  • METABOLISM IS f A ? B
  • A REPRESENTS METABOLITES WHICH CAN ALSO EXCHANGE
    WITH THE ENVIRONMENT
  • B REPRESENTS THE RESULTS OF METABOLISM
  • f IS A MAPPING FROM A TO B

29
THE CAUSAL RELATIONSHIPS
  • A IS THE MATERIAL CAUSE OF B (DOTTED ARROW)
  • f IS THE EFFICIENT CAUSE OF B
  • OTHER COMPONENTS FOR REPAIR AND REPLICATION COME
    IN BECAUSE THESE COMPONENTS HAVE A FINITE
    LIFETIME CATABOLISM AND ANABOLISM OR TURNOVER

30
ROSENS RELATIONAL MODEL OF THE ORGANISM
31
ORGANISMS
  • ARE COMPLEX SYSTEMS
  • ARE CLOSED TO EFFICIENT CAUSE
  • ARE AUTOPOIETIC UNITIES

32
THE NEW VITALISM
  • LIVING SYSTEMS POSESS A TYPE OF ORGANIZATION
    WHICH NON-LIVING SYSTEMS DO NOT
  • THIS BIOLOGICAL ORGANIZATION WILL ALWAYS DEFY
    FORMALIZATION-IT HAS NON-COMPUTABLE COMPONENTS
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