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Human Evolution and Computer Modelling

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5 to 8 ma humans and chimpanzees shared a common ancestor. Probably lived somewhere in Africa ... Mostly wooded habitat. A.africanus. Southern Africa. 3.5-2.0 ma ... – PowerPoint PPT presentation

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Title: Human Evolution and Computer Modelling


1
Human Evolution and Computer Modelling
  • Adam Newton
  • School of Archaeology, Classics and Egyptology
  • University of Liverpool
  • anewton_at_liv.ac.uk

2
  • Setting the scene to human evolution
  • The Oldowan world
  • Computer Modelling
  • Modelling Human Evolution

3
Human Evolution
  • Setting the Scene

4
Setting the scene
  • African Plio-Pleistocene hominins
  • Boundary of Pliocene and Pleistocene geological
    epochs, 2.5-1.5 million years ago (ma)
  • Hominins us and our (extinct) relatives
  • Share a common ancestor not shared with any other
    animal

5
The common ancestor
  • 5 to 8 ma humans and chimpanzees shared a common
    ancestor
  • Probably lived somewhere in Africa
  • Common ancestor probably ape-like
  • Still a quadruped (walked on all fours)
  • Not necessarily like a chimp
  • Evidence for bipedal apes starts to appear

6
The Australopithecines
7
Australopithecus afarensis
  • Ethiopia to Tanzania, 3.9 2.9 ma
  • Chimp-sized brain
  • Upright posture
  • Generalised diet fruit, seeds, nuts, meat?
  • Mostly wooded habitat

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A.africanus
  • Southern Africa
  • 3.5-2.0 ma
  • Generalised diet fruit, seeds, nut, meat?
  • Wooded environment
  • Biped, but with tree-climbing adaptations

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Bipedal Apes
11
The Oldowan World
12
Why Oldowan?
  • Name given to the earliest manufactured stone
    tool industries.
  • Named after Olduvai Gorge, Tanzania
  • Plio-pleistocene

13
Why study the Oldowan World?
  • Earliest manufactured stone tools
  • Brain enlargement beyond that of modern Great
    Apes
  • Two distinct types of hominin
  • Early Homo
  • Robust australopithecines
  • Expansion of hominins out of Africa
  • First modern human body

14
The Oldowan hominins
  • Robust australopithecines
  • Early Homo

15
The Robusts
  • A. aethiopicus
  • 2.6 ma
  • E. Africa
  • A. boisei
  • 2.2-1.3 ma
  • E. Africa
  • A. robustus
  • 2-1 ma
  • S. Africa

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Big jaws, teeth and chewing muscles
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Overview of the Robusts
  • Widespread
  • Long lived (lt2.5-1.0 ma)
  • Similar body to australopithecines
  • Relatively open environments
  • Massive jaws and molars
  • Tough diet seeds, nuts, roots, tubers, etc.

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Early Homo
  • H. habilis
  • 2.3-1.6 ma
  • S. E. Africa
  • H. rudolfensis
  • 2.4-1.8 ma
  • E. Africa

20
Homo habilis
  • Lived 2.3? 1.6 ma
  • Widespread
  • Compared to australopithecines
  • 50 Larger brains
  • Smaller teeth and jaws
  • Very similar below the neck
  • Found in association with stone tools
  • Increased meat-eating?

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The story so far
  • Increased brain size
  • 650-750cc against 400500cc
  • Simple stone tool-making
  • Used for hunting or scavenging animals?
  • Still not especially human
  • Quite small and without modern human body
    proportions

23
The Oldowan
  • Earliest manufactured stone tools
  • Olduvai Gorge, Tanzania
  • Kada Gona, Ethiopia, 2.6 ma
  • Densest clusters in Africa 2.0-1.5 ma

24
Oldowan assemblage
chopper
Hammerstone
scraper
polyhedron
discoid
Flake scraper
flakes
25
How Oldowan tools were made
Hard-hammer percussion
26
What were they used for?
  • Breaking open bones for bone marrow.
  • Flakes are useful for cutting hide, meat and
    tendons.

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Homo erectus
30
Overview of H. erectus
  • Appeared 1.9 ma
  • Larger brains (900cc against 650cc)
  • Similar body to modern humans
  • Fully terrestrial lifestyle
  • More open habitats
  • More sophisticated tools
  • Increased hunting and/or scavenging?
  • Soon left Africa

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The Oldowan environment
  • Environmental change
  • African climate cooler and more variable
  • Africa became less vegetated
  • Less forests
  • More woodland and grasslands
  • Vegetation shifts led to migrations

33
In the beginning
8 ma
Present day
Desert and shrubland
Savannah and woodland
Rainforest
34
Later climate change
After 3 ma climate cools and becomes more variable
Before 3 ma climate was relatively warm and stable
35
Hominin habitats
  • Australopithecus (non-Robusts)
  • Relatively closed wooded habitats
  • A. boisei (Robust)
  • Relatively open and wet
  • A. robustus (Robust)
  • Relatively open but more arid than for A. boisei
  • Homo
  • Wider range of habitats

36
Robusts
Homo
37
Computer modelling
38
What is meant by a Model?
  • All models are simpler versions of the real
    thing
  • Child making a model aeroplane
  • Scientist trying to model the global climate
    change
  • Modelling on a computer is similar to, say
    building a model aeroplane, but is more abstract
    and usually mathematical
  • "creating an analogue to a real object"

39
Steps to modelling
  • Decide what you want to model
  • Evaluate what the important features of the
    system are
  • Build a conceptual model
  • Convert conceptual model into a computer model
  • Run the model
  • Go back and refine your model

40
Modelling Paradigms
  • Procedural modelling
  • Process specified in advance of its being
    undertaken
  • Algorithm with ordered steps carried out in a
    specified sequence, e.g.
  • Calculate this value
  • Loop over this
  • Print the value for this
  • The process of the system is not modelled
  • Examples are Fortan or C

41
  • Declarative modelling
  • A set of facts that are true about the model
  • The order of the facts is irrelevant
  • The conceptual model will match the
    implementation of the model
  • Good for
  • Supports development of models with strong
    qualitative elements and emergent processes
  • Where the forces for change are well understood
    but their consequences not
  • The forces for change are the objects of analysis

42
Benefits to modelling
  • Allow us to understand something more complex and
    draw attention to how the whole thing works.
  • Simply making a model allows us to appreciate
    what is involved in the thing that is being
    modelled.

43
  • Forces us to declare our assumptions
  • If the model is reasonable
  • It will give outcomes
  • It will allow us to ask "what if" questions
  • It may provide us with predictions

44
SIMILE
  • Visual modelling software
  • Declarative modelling
  • Earth, environmental and life sciences
  • Developed by Simulistics

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Predator-Prey Models
  • PROGRAM predator_prey_simulation
  • IMPLICIT NONE INTEGER, PARAMETER
    MAX_TIME_STEPS 20 ! Maximum number of time
    steps
  • INTEGER prey_num 800 ! Prey population
  • INTEGER predator_num 300 ! Predator
    population
  • INTEGER prey_new ! Temporary holder for new
    population of predators
  • INTEGER predator_new ! Temporary holder for
    new population of predators
  • INTEGER time_step 0 ! Current time step
  • WRITE (, ) 'Time step 0 predators ',
    predator_num, ' prey ', prey_num
  • DO
  • time_step time_step 1
  • prey_new NINT(1.0955prey_num -
    .0005prey_numpredator_num)
  • predator_new NINT(.9155predator_num
    .0001prey_numpredator_num)
  • prey_num prey_new
  • predator_num predator_new
  • WRITE (, ) 'Time step ', time_step, '
    predators ', predator_num, ' prey ',
    prey_num
  • ! Simulation runs until one species extinct or
    MAX_TIME_STEPS steps

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Modelling Human Evolution
  • Investigating the Oldowan World

58
Interesting questions
  • If Homo was more of a dietary generalist to what
    extent was this aided by technology?
  • To what extent were the Robusts really dietary
    specialists?
  • What was the payoff for the long distance
    transport of tools and raw materials for early
    Homo?

59
To make a model.
  • For any hominin species I would want information
    on
  • Yearly/daily home ranges
  • Diet/subsistence strategies
  • Environment
  • Technologies
  • Would need some sort of virtual environment
  • SIMILE is able to link up to GIS

60
Where the evidence would come from
  • Palaeontological record
  • Archaeological evidence
  • Ethnographic studies
  • Primates
  • Modern hunter-gatherer societies

61
And finally
  • Models allow us to observe behavioural processes
    as they unfold
  • The results can be tested against the
    archaeological record
  • Models cannot prove anything but they can show us
    what could have happened to explain what we find
    in the archaeological record

62
The End
  • Thank you for coming
  • Enjoy the wine and snacks
  • www.simulistics.com
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