Evolutionary modeling: a debate on its application to biological and nonbiological systems

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Evolutionary modeling: a debate on its application to biological and nonbiological systems

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... Theory of Games and Biological Systems ... Concepts can be applied to biological systems, where species and/or genes are ... Direct biological analog ' ... –

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Title: Evolutionary modeling: a debate on its application to biological and nonbiological systems


1
Evolutionary modeling a debate on its
application to biological and non-biological
systems
  • ByHussam R. Okasha Alan L. Stottlemyer

2
Part I Evolutionary Biology
  • Introduction
  • Darwins Theory of Evolution
  • Natural Selection
  • Evidence of Natural Selection
  • The Mathematical Theory of Games and Biological
    Systems

3
Scientific Climate During Darwins Time
  • Geologists were studying layers formed by the
    deposition of sediments.
  • Uniformitarianism- determining the age of Earth
    by understanding present conditions.
  • Fossil Discoveries- the deeper the strata, the
    less similar fossils one will find to existing
    species.
  • Similarities among groups of differing species
    were considered evidence of evolutionary change.
  • Jean-Baptiste Lamarck- proposed organic evolution
    as an explanation for the physical similarity
    among organisms and even proposed the inheritance
    of acquired traits as the mechanism for the
    adaptive change.

4
Darwins Voyage
  • Observations made at the Galapagos Islands on the
    survey ship Beagle.
  • Took note of slight variations between organisms
    on different islands.
  • Famous Darwin finches, a group of birds on the
    islands.
  • Observations inspired his book On the Origin of
    Species (1858).
  • Book addressed scientific problems during
    Darwins time.

5
Darwins Theory of Evolution
  • General Change- Organisms have changed over a
    long process of time where many organisms have
    been extinct in the process.
  • Branching Process- All organisms are derived from
    previous organisms, two organisms were similar
    because they inherited a shared trait from their
    common ancestor.
  • Speed of Change- will always act very slowly,
    often only at long intervals of time, and
    generally on only a very few inhabitants of the
    same region at the same time. Darwin
    -Supported by fossil record, however new studies
    have shown that evolutionary process is occurring
    at smaller intervals with time.
  • Natural Selection- popularly known as survival
    of the fittest, as the process in nature by
    which only the organisms best adapted to their
    environment tend to survive and transmit their
    genetic characteristics in increasing numbers to
    succeeding generations while those less adapted
    tend to be eliminated.

6
Natural Selection According to Darwin
  • Natural Selection- preservation of favorable
    variations and rejection of injurious variations,
    occurs when a change in the condition of life
    takes place.
  • Sexual Selection- the selection of female
    characteristics by males in order to produce
    offspring.
  • Circumstances favorable to natural selection
    -Reduced intercrossing, isolation, and number
    of individuals
  • Factors Affecting the Speed of the Process
    -Geographic change is very slow -Mutual
    modifications arise in a slow process
    -Intercrossing hinders the process
  • Extinction- inevitable process, due to natural
    selection, number of a specific species increased
    as others decrease.
  • Divergence of character- diversification allows
    more resources to be utilized, which increases
    chance for survival.

7
Process of Natural Selection
8
Geneticist Definition of Natural Selection
  • Differential reproduction of genotypes.
  • In order for natural selection to occur
    -heritable variation for some trait
    -differential survival and reproduction
    associated with the possession of that
    trait
  • Natural selection can only choose among existing
    varieties in a population.
  • Variations occur due to random processes in
    genes, rather than by necessity.

9
Types of Selection
  • Stabilizing selection- acts against extreme
    traits and favors the more common intermediate
    variants. -Reduces variation and maintains
    a particular character trait
  • Directional selection- favors individuals on one
    end of a trait range, common during periods of
    environmental change.
  • Diversifying selection- favors individuals on
    both trait extremes over intermediate variants
    (rarest of the modes).
  • The selection of traits favored along a range of
    individual variations determines each selection.

10
Evidence of Natural Selection
  • Darwin Finches- Each island had its own type of
    finch, different from the one found on the
    mainland of Ecuador. -each finch
    adapted its beak for a different purpose
    -shows each finch adapted to its
    environment via natural selection
  • Industrial Melanism- phenomenon that affected
    over seventy species of math in England during
    the Industrial Revolution. -Prior to
    1800, the typical moth had a light
    pattern, where dark moths were rare
    -Industrial wastes darkened trunks and by 1886,
    the dark-colored moths became very common
  • Illustrates adaptation by natural and rapid
    evolutionary change, thus questioning the
    apparent strength and speed of natural selection.

11
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12
The Mathematical Theory of Games and Biological
Systems
  • Game theory- study of decision problems in
    competitive situations.
  • Analysis of games in order to derive rules for
    making decisions when two or more players are
    competing for the same objective. -game
    a situation where participants compete to
    achieve some objective within a given set of
    rules
  • Concepts can be applied to biological systems,
    where species and/or genes are treated as
    players.
  • Evolutionary Stable Energy- Hawk-Dove game
  • Strategies can be described as pay-off functions
    for the hawk and dove.
  • Consistent with analysis by natural selection,
    explains more subtle, evolutionary topics.

13
Hawk-Dove Game
  • Two individuals compete for a resource,
    characterized as an increase in the Darwinian
    fitness of the individual who obtains the
    resource.
  • Hawk Initiate aggressive behavior, not stopping
    until injured or until one's opponent backs down.
  • Dove Retreat immediately if one's opponent
    initiates aggressive behavior.
  • Determining which strategy is evolutionary stable
    as pay-off functions.

14
Summary
  • Natural selection and game theory has given
    excellent insight into many biological processes.
  • Evolution has been unfairly discarded from
    popular knowledge, without scientific argument
    for rejecting the theory.
  • Creationism and evolution debate has forced
    courts to determine the constitutionality of
    whether teaching either theory is appropriate in
    schools.
  • Epperson v. Arkansas- Supreme Court found that
    Arkansas law prohibiting the teaching of
    evolution was unconstitutional because the
    motivation was based on a literal reading of
    Genesis.
  • Only until evolution is recognized as a science,
    instead of wild speculation, can a logical
    compromise exist between the two ideas.

15
Part II the modeling of non-biological systems
  • Natural Selection Highlights
  • Cultural Evolution
  • Language Evolution
  • Scientific Evolution

16
Natural Selection Highlights
  • Key to natural selection is FITNESS
  • Mainly reproductive
  • Occurs because of random mutations
  • Genetic information passed down through genes
  • Memes first widely published by Dawkins in 1976
    The Selfish Gene
  • Meme non-tangible equivalent of a gene
  • Allows information exchange through generations
  • Used in non-biological modeling
  • Mimetics modeling using memes

17
Cultural Evolution
  • Two trains of thought
  • Direct biological analog
  • Cumulative Development of Stages learning by
    a means of acquired stages is acquired by an
    individual in the same manner the theory was
    developed.
  • Addition/Subtraction Multiplication/Division
    algebra geometry calculus
  • Mimetic analog
  • Meme is slight variation in recipe
  • Baking a cake dance forms
  • Vulnerability of Cultural Evolution
  • Burn our libraries, smash our computers, and
    stop all teaching for just one generation break
    just a link in the chain of transmission and
    its all gone, only to be regained, if at all,
    after a long process of carefully building
    innovation upon innovation. Carel van Schaik

18
Language Evolution
  • Noam Chomsky concept of universal grammar
  • Concept of poverty of stimulus
  • Biological Analog reproductive advantage from
    good communication
  • Function of brain capacity

19
Language Evolution Cont.
  • Language exists to further its own existence in
    its environment -gt brain
  • Mimetic Analog meme represented by the word
  • non-obligate mutualistic endo-symbiant Morten
    Christianson (Cornell)
  • Arbitrary character of words
  • Distortion of word meaning
  • Homine -gt Hombre spanish, Uomini italian,
    Homme French

20
Scientific Evolution
  • Biological Analog science hands down information
    through generations
  • Mutations product of human imagination
  • Peer review selection process
  • Mimetic Analog meme is scientific concept
  • Easily understood, yet complex concepts easily
    persist
  • Ex. Gravity, Newtons Second Law

21
Engineering Relevance
  • Biological Application
  • Medical technology requires an intricate
    knowledge of mans anatomy and past
  • Non-biological Application
  • Importance of understanding of instantaneous
    changes
  • Calculus invented by Newton
  • Now need to understand slow changes to move to
    longer time scales
  • Game theory being developed based on Natural
    Selection

22
Conclusion
  • Importance is not in the solutions, but in the
    questions that solutions generate
  • Stimulate scientific thought
  • No need to answer if science SHOULD take this
    approach
  • Science IS taking this approach
  • One learns as much from failure as from success
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