def __init__(self, id, env):
Agent.__init__(self, id, env)
self._energy = Parameters.initEnergy
self._reproductionMinEnergy = Parameters.reproductionMinEnergy
self._genotype = []
self._rand = Random()
getattr(self, "_initialization"+Parameters.initialization)()
self._fitness=None
self._updated=None
self._recalculateFitness()
self._fitnessCalls = 0
def __init__(self, id, env):
Agent.__init__(self, id, env)
self._energy = Parameters.initEnergy
self._reproductionMinEnergy = Parameters.reproductionMinEnergy
self._genotype = []
self._rand = Random()
rand = self._rand
for i in xrange(Parameters.genotypeLength):
if rand.randint(0, 100) > 0:
self._genotype.append(Parameters.cubeSize * rand.random())
else:
self._genotype.append(-1 * Parameters.cubeSize * rand.random())
def __init__(self, env, childrenEnv=None):
addr = AddressManager.getAddress(None)
Agent.__init__(self, addr, env, childrenEnv)
self._reprCount = 0
self._rand = Random()
