class Agent:
def __init__(self, dna = -1):
# Genetic
if dna == -1:
self.dna = DNA()
else:
self.dna = deepcopy(dna)
self.dna.mutate()
# Copying evaluation function
m, b = self.dna.eval_data
self.evaluate = lambda x: m * x + b > 0
# Cultural
self.meme = np.random.choice([0, 1], size = str_len)
def fitness(self, goal):
c = self.dna.cultural
guess = self.meme if c else self.dna.guess
m = 1 - brain_cost if c else 1
return hamming_fitness(guess, goal) * m
def reproduce(self):
return Agent(self.dna)
def __repr__(self):
return str(self.dna)
def copies(self, copied, goal):
fitness_diff = copied.fitness(goal) - self.fitness(goal)
if fitness_diff > 0:
self.meme = mutate_meme(deepcopy(copied.meme))
'''
def test_dna_mutation(self):
dna = DNA("asdfghjkzxcvbnm")
mutated_dna = dna.mutate(20, self.nucleotides)
self.assertNotEqual(dna, mutated_dna)
self.assertEquals(len(dna.structure), len(mutated_dna.structure))
