def old_steels_uniwersal_basic_experiment(num_iter, agents, stimuli, interaction,
classifier = SteelsClassifier, topology = None,
inc_category_treshold = None, dump_freq = 50):
sys.path.append("../")
from cog_abm.core.agent import Agent
from cog_abm.agent.sensor import SimpleSensor
from pygraph.classes.graph import graph
from pygraph.algorithms.generators import generate
from cog_abm.core.environment import Environment
from cog_abm.stimuli.stimulus import SimpleStimulus
from cog_abm.extras.color import Color
from cog_abm.core.simulation import Simulation
num_agents = len(agents)
topology = def_value(topology,
generate(num_agents, num_agents*(num_agents-1)/2))
stimuli = def_value(stimuli, default_stimuli())
if inc_category_treshold is not None:
interaction.__class__.def_inc_category_treshold = inc_category_treshold
env = Environment(stimuli, True)
Simulation.global_environment = env
s = Simulation(topology, interaction, agents)
res = s.run(num_iter, dump_freq)
return res
def steels_uniwersal_basic_experiment(num_iter, agents, environments, interaction,
classifier = SteelsClassifier, topology = None,
inc_category_treshold = None, dump_freq = 50, stimuli = None):
sys.path.append("../")
from cog_abm.core.agent import Agent
from cog_abm.agent.sensor import SimpleSensor
from pygraph.classes.graph import graph
from pygraph.algorithms.generators import generate
from cog_abm.core.environment import Environment
from cog_abm.stimuli.stimulus import SimpleStimulus
from cog_abm.extras.color import Color
from cog_abm.core.simulation import Simulation
num_agents = len(agents)
topology = def_value(topology,
generate(num_agents, num_agents*(num_agents-1)/2))
if stimuli == None:
stimuli = def_value(None, default_stimuli())
if inc_category_treshold is not None:
interaction.__class__.def_inc_category_treshold = inc_category_treshold
env = Environment(stimuli, True)
for key in environments.keys():
Simulation.environments[key] = Environment(environments[key].stimuli, True)
#bez sensu...
if "global" in environments:
glob = Environment([SimpleStimulus(c) for c in environments["global"].stimuli], True)
else:
glob = None
Simulation.global_environment = def_value(glob , env)
s = Simulation(topology, interaction, agents)
res = s.run(num_iter, dump_freq)
return res