42

Thomas S. Ray: An approach to the synthesys of life

  • Upload
    thelma

  • View
    42

  • Download
    0

Embed Size (px)

DESCRIPTION

Thomas S. Ray: An approach to the synthesys of life. presenting: Ady Ecker. Contents. Introduction Tierra system description Mac-tierra Results Discussion. Introduction. Introduction. Exploration of life in general is limited - PowerPoint PPT Presentation

Citation preview

Page 1: Thomas S. Ray: An approach to the synthesys of life
Page 2: Thomas S. Ray: An approach to the synthesys of life

Contents

• Introduction• Tierra system description• Mac-tierra• Results• Discussion

Page 3: Thomas S. Ray: An approach to the synthesys of life
Page 4: Thomas S. Ray: An approach to the synthesys of life

Introduction

• Exploration of life in general is limited• Tierra is an artificial life model to explore

the origin of diversity

Page 5: Thomas S. Ray: An approach to the synthesys of life

What Is Life?

• “I would consider a system to be living if it is– Self-replicating and– Capable of open-ended evolution

• Synthetic life should self replicate, and evolve structures or processes that were not designed in or preconceived by the creator.”

Page 6: Thomas S. Ray: An approach to the synthesys of life
Page 7: Thomas S. Ray: An approach to the synthesys of life

The Tierra Simulator

• Virtual parallel computer• Cellularity: each program gets its own

memory and CPU time. Each cell can read and execute every instruction but has write permission to its own or its daughter cell

• The operating system executes the code of each cell in the computer’s memory

Page 8: Thomas S. Ray: An approach to the synthesys of life

main memory

instruction codes

cells

operating systemfetch - decode - execute

daughtercell

Page 9: Thomas S. Ray: An approach to the synthesys of life

The Language

• Special machine language to be portable and secure

• Small instruction set (32 instructions, operands included), that is less fragile when the code is mutated

• Jumps: addressing by templates

Page 10: Thomas S. Ray: An approach to the synthesys of life

The Operating System• The slicer: processor time sharing mechanism

– Control time for large/small creatures• The reaper: kills cells when the memory is full

from the top of a queue– The creature starts at the bottom of the queue– It moves up the queue when it fails to execute

instructions (because its algorithm is flawed), and stays where it is, or moves down when it succeeds

• The genebank saves information about each genome

Page 11: Thomas S. Ray: An approach to the synthesys of life

Mutation

• Cosmic mutations cause the flipping of random bits in the soup at a low frequency

• Copy errors result in replication errors• Flaws can occur during execution. The

result is off by 1 at some low frequency• Creatures activity scramble the soup

Page 12: Thomas S. Ray: An approach to the synthesys of life

The Digital Environment: Self-replicating computer programs (colored geometric objects) occupy the RAM memory of the computer (orange background). Mutations (lightning) cause random changes in the code. Death (the skull) eliminates old or defective programs.

Page 13: Thomas S. Ray: An approach to the synthesys of life

Energy

Territory

Abiotic environment

Amino acids

Genome

Natural lifeNatural life

Program

Assembler instructions

Operating system

Memory

CPU time

TierraTierra

Page 14: Thomas S. Ray: An approach to the synthesys of life

The ancestor

• The simulation start with one simple self replicating ancestor - 80 instructions.

• This ancestor evolve communities of interacting “living” creatures, due to mutations.

Page 15: Thomas S. Ray: An approach to the synthesys of life

Ancestor’s Genome01 (nop_1)01 (nop_1)01 (nop_1)01 (nop_1)04 (zero)02 (or1)03 (shl)03 (shl)18 (mov_cd)1c (adrb)00 (nop_0)00 (nop_0)00 (nop_0)00 (nop_0)07 (sub_ac)19 (mov_ab)1d (adrf)00 (nop_0)00 (nop_0)00 (nop_0)

01 (nop_1)08 (inc_a)06 (sub_ab)01 (nop_1)01 (nop_1)00 (nop_0)01 (nop_1)1e (mal)16 (call)00 (nop_0)00 (nop_0)01 (nop_1)01 (nop_1)1f (divide)14 (jmp)00 (nop_0)00 (nop_0)01 (nop_1)00 (nop_0)05 (if_cz)

01 (nop_1)01 (nop_1)00 (nop_0)00 (nop_0)0c (push_ax)0d (push_bx)0e (push_cx)01 (nop_1)00 (nop_0)01 (nop_1)00 (nop_0)1a (mov_iab)0a (dec_c)05 (if_cz)14 (jmp)00 (nop_0)01 (nop_1)00 (nop_0)00 (nop_0)08 (inc_a)

09 (inc_b)14 (jmp)00 (nop_0)01 (nop_1)00 (nop_0)01 (nop_1)05 (if_cz)01 (nop_1)00 (nop_0)01 (nop_1)01 (nop_1)12 (pop_cx)11 (pop_bx)10 (pop_ax)17 (ret)01 (nop_1)01 (nop_1)01 (nop_1)00 (nop_0)05 (if_cz)

Page 16: Thomas S. Ray: An approach to the synthesys of life

self examfind 0000 [start] bxfind 0001 [end] axcalculate size cx

1111

reproduction loopAllocate daughter ax

jump 0010

1101

call 0011 (copy procedure)cell division

copy procedureSave registers to stack

return1110

1100

1010move |bx| |ax|decrement cx

if cx==0 jump 0100increment ax & bxjump 0101

restore registers1011

Ancestor

Page 17: Thomas S. Ray: An approach to the synthesys of life

The Ancestral Program - consists of three “genes” (green solid objects). The CPU (green sphere) is executing code in the first gene, which causes the program to measure itself.

Page 18: Thomas S. Ray: An approach to the synthesys of life
Page 19: Thomas S. Ray: An approach to the synthesys of life
Page 20: Thomas S. Ray: An approach to the synthesys of life

The Parasite

• Uses the ancestor’s copy procedure to copy himself

• The host is not affected by the parasite• Superior competitor • 45 instructions• Population cycles

Page 21: Thomas S. Ray: An approach to the synthesys of life

self examfind 0000 [start] bxfind 0001 [end] axcalculate size cx

1111

reproduction loopAllocate daughter ax

jump 0010

1101

call 0011 (copy procedure)cell division

1110

copy procedureSave registers to stack

return

1100

1010move |bx| |ax|decrement cx

if cx==0 jump 0100increment ax & bxjump 0101

restore registers1011

self examfind 0000 [start] bxfind 0001 [end] axcalculate size cx

1111

reproduction loopAllocate daughter ax

jump 0010

1101

call 0011 (copy procedure)cell division

1110

Ancestor & parasite

Page 22: Thomas S. Ray: An approach to the synthesys of life

A Parasite (blue, two piece object) uses its CPU (blue sphere)to execute the code in the third gene of a neighboring host organism (green) to replicate itself, producing daughter parasite(two-piece wire frame object).

Page 23: Thomas S. Ray: An approach to the synthesys of life

The Hyper-Parasite

• Robust self-replicate program by itself• When a parasite tries to use the hyper-

parasite, the hyper-parasite cause the parasite to replicate the hyper-parasite

• Drive the parasites to extinction

Page 24: Thomas S. Ray: An approach to the synthesys of life

self examfind 0000 [start] bxfind 0001 [end] axcalculate size cx

1111

call 0011

reproduction loopAllocate daughter ax

jump 0000

1101

cell division

1110

copy procedure1100

1010move |bx| |ax|decrement cx

if cx==0 jump 1100increment ax & bxjump 0101

self examfind 0000 [start] bxfind 0001 [end] axcalculate size cx

11111101

reproduction loopAllocate daughter ax

jump 0010

call 0011 (copy procedure)cell division

1110

parasite

Hyper-parasite

Page 25: Thomas S. Ray: An approach to the synthesys of life

A Hyper-parasite (red, three piece object) steals the CPU from a parasite (blue sphere). Using the stolen CPU, and its own CPU (red sphere) it is able to produce two daughters (wire frame objects on left and right) simultaneously.

Page 26: Thomas S. Ray: An approach to the synthesys of life

Symbionts

• Manually created• One contains the self-exam and copy

procedure• The other contains the self-exam and

reproduction loop• 46 and 64 instructions

Page 27: Thomas S. Ray: An approach to the synthesys of life

self examfind 0000 [start] bxfind 0001 [end] axcalculate size cxjump 0010

1111

reproduction loopAllocate daughter ax

jump 0010

1101

call 0011 (copy procedure)cell division

copy procedureSave registers to stack

return1110

1100

1010move |bx| |ax|decrement cx

if cx==0 jump 0100increment ax & bxjump 0101

restore registers1011

symbionts self examfind 0000 [start] bxfind 0001 [end] axcalculate size cxjump 0010

1111

1110

Page 28: Thomas S. Ray: An approach to the synthesys of life

Social Hyper-Parasites

• Appear when there is genetic uniformity• Cooperate with the previous social hyper-

parasite cell• 61 instructions• Jumping templates of size 3

Page 29: Thomas S. Ray: An approach to the synthesys of life

Cheaters: Hyper Hyper Parasites

• Invade the social system• Position themselves between aggregating

hyper parasites to capture the instruction pointer

• 27 instructions

Page 30: Thomas S. Ray: An approach to the synthesys of life

Experiments (Simulations)Hosts, red, are very common. Parasites, yellow, have appeared but are still rare.

Page 31: Thomas S. Ray: An approach to the synthesys of life

Hosts, are now rare because parasites have become very common. Immune hosts, blue, have appeared but are rare.

Page 32: Thomas S. Ray: An approach to the synthesys of life

Immune hosts are increasing in frequency, separating the parasites into the top of memory.

Page 33: Thomas S. Ray: An approach to the synthesys of life

Immune hosts now dominate memory, while parasites and susceptible hosts decline in frequency. The parasites will soon be driven to extinction.

Page 34: Thomas S. Ray: An approach to the synthesys of life

Experiments (Simulations)

• Changing parameters:– Mutation rate– Selection for small/large cells

• Exploring the ecology in controlled environment– Run two competing cells without mutation – Run a fixed population of cells

• Micro/macro scales

Page 35: Thomas S. Ray: An approach to the synthesys of life
Page 36: Thomas S. Ray: An approach to the synthesys of life

Emergence

• Cariani defined emergence relative to the expected model as the state when the model no longer describes the system

• Emergence types:– Syntactic– Semantic– Pragmatic

Page 37: Thomas S. Ray: An approach to the synthesys of life

AL and Biology Theory

BiologyBiology

ALAL

suggest the modelsuggest the factors

experimental studytest biologicaltheories

Page 38: Thomas S. Ray: An approach to the synthesys of life

Biological Factors of Diversity

• Adaptation to biologic evolving environment vs. To physical environment– Emergent fitness function

• Size, shape, distribution, fragmentation, heterogeneity

Page 39: Thomas S. Ray: An approach to the synthesys of life

Possible Extensions

• Predators• Multi-cellular organs• Introducing energy costs• Separating genotype from phenotype

Page 40: Thomas S. Ray: An approach to the synthesys of life

Summary

• A framework for synthesis of life was presented

• Natural-like behavior was detected in the system

• This system opens the way for inter-disciplinary future research

Page 42: Thomas S. Ray: An approach to the synthesys of life