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Biochemical Busy Beaver
Individual Dissertation in Artificial Intelligence,
University of Nottingham
by Jurek Kozyra
on 11 May 2011
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Prezi Transcript
Synthesis of Busy Beaver in Biochemical Automaton Space Genetic
Algorithm Software Flow Internal Internal External Internal Internal Internal Chromosome Farmer Visualiser {}
[ 1
{('a', 1)}
{r 1 : {('a', 1)} ---> {(('a', 0), 2)},
r 2 : {('a', 1)} ---> {(('a', 0), 1), (('b', 0), 1)},
r 3 : {('a', 1), ('b', 1)} ---> {(('b', 0), 2)}}
{}
] 1 Run
Replicate & Crossover Membranes of two
individuals are swapped Mutations Rules in a membrane
are randomly changed External A Internal External B 1 2 4 5 Running Initialise the population of random individuals... Rank individuals based on their productivity... Select and recombine... Terminate or continue... 3 Preserve elite chromosomes... Initial analysis of the output Removing duplicate rules
Removing identity rules
Deciding if the individual halts..?
Preparing the input file #beaver
{}
[ 1
{('a', 1)}
{r 1 : {('a', 1)} ---> {(('a', 0), 2)},
r 2 : {('a', 1)} ---> {(('a', 0), 1), (('b', 0), 1)},
r 3 : {('a', 1), ('b', 1)} ---> {(('b', 0), 2)}}
{}
] 1 #output
[('a', 1)]
[('a', 1), ('b', 1)]
[('b', 2)] #output
[('a',1)] #beaver
... [('b',12),('a',3)] [('b',17),('a',1)]
[('b',17),('a',2)]
[('b',18),('a',3)]
[('b',19),('a',5)]
[('b',24),('a',5)]
[('b',28),('a',6)]
[('b',33),('a',7)]
[('b',42),('a',5)] [('b',1),('a',1)] [('b',1),('a',2)] [('b',1),('a',4)] [('b',3),('a',6)] [('b',47),('a',5)]
[('b',49),('a',8)]
[('b',57),('a',8)]
[('b',66),('a',7)]
[('b',71),('a',9)]
[('b',80),('a',9)]
[('b',90),('a',8)] [('b',343),('a',21)]
[('b',369),('a',16)]
[('b',385),('a',16)]
[('b',401),('a',16)]
[('b',422),('a',11)]
[('b',432),('a',12)]
[('b',450),('a',6)]
[('b',455),('a',7)]
[('b',461),('a',8)]
[('b',471),('a',6)]
[('b',478),('a',5)]
[('b',485),('a',3)]
[('b',488),('a',3)]
[('b',491),('a',3)]
[('b',494)] [('b',95),('a',11)]
[('b',101),('a',16)]
[('b',114),('a',19)]
[('b',133),('a',19)]
[('b',154),('a',17)]
[('b',175),('a',13)]
[('b',186),('a',15)]
[('b',198),('a',18)]
[('b',218),('a',16)]
[('b',232),('a',18)]
[('b',252),('a',16)]
[('b',268),('a',16)]
[('b',280),('a',20)]
[('b',299),('a',21)]
[('b',318),('a',23)] 3. a -> bc 3. a -> b 1: a -> ac 2: bc -> aa Input file
Main functions: Parse the input Collect the data Plot datapoints representing the P System External c -> bd
ad -> cc biochemical
molecules biochemical
reactions What's inside? Rules: Objects: a b b c d d a Introduction Summary Visualisation of multiple runs Define BBP for P System Produce software that search for busy beavers Analyse the final results (instead of classic Turing Machine) (using a method that mimics natural evolution) i.e. what have we found in computational universe? Project
Objectives: The Farm Process of natural
evolution is simulated. We look for biologicaly inspired systems
which produce maximal output and die. Evolution trajectories of the most productive machine are visualised and analysed. Can we already find (or synthesise) Biochemical
Busy Beavers in the natural environment? What would the implications be
on life on Earth as we know it? How evolution
looks like? A simple
Busy Beaver Simple input Simple evolution? Some systems
are "ugly"
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