def apply_population_rules(mas, pop, cfg, matrix):
liste = get_agents(pop)
if cfg["RULE_POPULATION"] == 'default':
for agent in liste:
Default_move(agent, mas, cfg, matrix)
if cfg["RULE_POPULATION"] == 'OA1':
ls = copy.deepcopy(get_agents(m.get_pop(mas)))
while not ls == []:
x = random.randint(0, len(ls) - 1)
agent = ls[x]
del ls[x]
Default_move(agent, mas, cfg, matrix)
if cfg["RULE_POPULATION"] == 'OA2':
ls = copy.deepcopy(get_agents(m.get_pop(mas)))
while not ls == []:
res = 0
agent1 = 0
for i in range(len(ls)):
if res < ls[i][2]:
res = ls[i][2]
agent1 = ls[i]
position = Default_move(agent1, mas, cfg, matrix)
a.set_pos(agent1, position)
del ls[i]
def apply_walker_rules(mas): """ Apply all walker rules to each walker of the MAS's population. """ pop = m.get_pop(mas) for walker_rule in get_walker_rules(mas): p.apply_rule_walkers(pop, walker_rule)
def RA1(mas, agent, matrix):
pop = m.get_pop(mas)
position = get_pos(agent)
vision = get_vision(agent)
idx_position = position
res = 0
while vision > 0:
a, z = horizontal1(matrix, vision, res, idx_position, position)
b, y = horizontal2(matrix, vision, res, idx_position, position)
c, x = vertical1(matrix, vision, res, idx_position, position)
d, w = vertical2(matrix, vision, res, idx_position, position)
res = max(a, b, c, d)
if res == a:
idx_position = z
elif res == b:
idx_position = y
elif res == c:
idx_position = x
elif res == d:
idx_position = w
else:
p.kill_agent(pop, agent)
vision -= 1
(col, lig) = idx_position
set_pos(agent, idx_position)
set_sugar_level(
agent,
float(get_sugar_level(agent)) - float(get_metabolism(agent)))
new_sugar_agent, new_sugar_cell = eat_sugar(agent, mas)
set_sugar_level(agent, new_sugar_agent)
matrix[lig][col][1] = new_sugar_cell
return idx_position
def eat_sugar(agent, mas):
matrix = e.get_cell_matrix(m.get_env(mas))
pop = m.get_pop(mas)
(col, lig) = get_pos(agent)
vision = get_vision(agent)
sugar_agent = get_sugar_level(agent)
max_sugar_agent = get_max_sugar_capacity(agent)
sugar_cell = c.get_sugar_level(matrix[lig][col])
new_sugar_agent = 0.0
new_sugar_cell = 0.0
if sugar_agent == max_sugar_agent:
new_sugar_agent = max_sugar_agent
new_sugar_cell = sugar_cell
if sugar_agent < max_sugar_agent:
if sugar_agent + sugar_cell < max_sugar_agent:
new_sugar_agent = sugar_agent + sugar_cell
new_sugar_cell = 0.0
if sugar_agent + sugar_cell > max_sugar_agent:
new_sugar_agent = max_sugar_agent
new_sugar_cell = sugar_cell + (sugar_agent - max_sugar_agent)
c.set_sugar_level(matrix[lig][col], new_sugar_cell)
return new_sugar_agent, new_sugar_cell
def __draw_mas(canvas, mas, cell_size):
# Draw the MAS on the canvas
env = m.get_env(mas)
pop = m.get_pop(mas)
if env is not None:
__draw_env(canvas, env, cell_size)
# Only consider plotting the population if there is an environment
if pop is not None:
__draw_pop(canvas, pop, cell_size)
def __draw_mas(canvas, mas, cell_size):
# Draw the MAS on the canvas
env = m.get_env(mas)
pop = m.get_pop(mas)
if env is not None:
__draw_env(canvas, env, cell_size)
# Only consider plotting the population if there is an environment
if pop is not None:
__draw_pop(canvas, pop, cell_size)
def tki_experiment_loop(mas):
cycle = m.get_cycle(mas)
canvas.delete(tk.ALL) # Clear the canvas
__draw_mas(canvas, mas, cell_size)
pop = m.get_pop(mas)
canvas.create_text(MARGIN, MARGIN, anchor=tk.NW, text="Cycle #" + str(cycle))
if not ending_condition(mas):
m.increment_cycle(mas)
m.run_one_cycle(mas,config)
app.update()
app.after(TIME_OF_FRAME, tki_experiment_loop, mas)
def tki_experiment_loop(mas):
cycle = m.get_cycle(mas)
canvas.delete(tk.ALL) # Clear the canvas
__draw_mas(canvas, mas, cell_size)
pop = m.get_pop(mas)
canvas.create_text(MARGIN, MARGIN, anchor=tk.NW, text="Cycle #" + str(cycle))
if not ending_condition(mas):
m.increment_cycle(mas)
m.run_one_cycle(mas)
app.update()
app.after(TIME_OF_FRAME, tki_experiment_loop, mas)
def mas_plot(mas, showGrid=True):
"""
Plot the complete complete MAS as a matplotlib graphic.
"""
env = m.get_env(mas)
pop = m.get_pop(mas)
plt.axes([0, 0, 1, 1], axisbg=None, frameon = False)
if env is not None:
env_plot(env, showGrid)
# Only consider plotting the population if there is an environment
if pop is not None:
pop_plot(pop)
plt.show()
def tki_experiment_loop(mas):
cycle = m.get_cycle(mas)
canvas.delete(tk.ALL) # Clear the canvas
__draw_mas(canvas, mas, cell_size)
pop = m.get_pop(mas)
canvas.create_text(MARGIN, MARGIN, anchor=tk.NW, text="Cycle #" + str(cycle))
male,female = p.get_agents_alive_by_sex(pop)
canvas.create_text(MARGIN, MARGIN-15, anchor=tk.NW, text="Population #" + str(male+female))
canvas.create_text(MARGIN+100, MARGIN, anchor=tk.NW, text="Femme #" + str(female))
canvas.create_oval(MARGIN+180,MARGIN-4,MARGIN+188,MARGIN-12,fill='black')
canvas.create_text(MARGIN+100, MARGIN-15, anchor=tk.NW, text="Homme #" + str(male))
canvas.create_oval(MARGIN+180,MARGIN+3,MARGIN+188,MARGIN+11,fill='red')
canvas.create_text(MARGIN+200, MARGIN,anchor=tk.NW, text="Dead agents #" + str(p.get_dead_agents(pop)))
if not eval("m."+ending_condition+"(mas)"):
m.increment_cycle(mas)
m.run_one_cycle(mas)
app.update()
app.after(TIME_OF_FRAME, tki_experiment_loop, mas)
def tki_experiment_loop(mas):
cycle = m.get_cycle(mas)
canvas.delete(tk.ALL) # Clear the canvas
__draw_mas(canvas, mas, cell_size)
pop = m.get_pop(mas)
canvas.create_text(MARGIN,
MARGIN,
anchor=tk.NW,
text="Cycle #" + str(cycle))
male, female = p.get_agents_alive_by_sex(pop)
canvas.create_text(MARGIN,
MARGIN - 15,
anchor=tk.NW,
text="Population #" + str(male + female))
canvas.create_text(MARGIN + 100,
MARGIN,
anchor=tk.NW,
text="Femme #" + str(female))
canvas.create_oval(MARGIN + 180,
MARGIN - 4,
MARGIN + 188,
MARGIN - 12,
fill='black')
canvas.create_text(MARGIN + 100,
MARGIN - 15,
anchor=tk.NW,
text="Homme #" + str(male))
canvas.create_oval(MARGIN + 180,
MARGIN + 3,
MARGIN + 188,
MARGIN + 11,
fill='red')
canvas.create_text(MARGIN + 200,
MARGIN,
anchor=tk.NW,
text="Dead agents #" + str(p.get_dead_agents(pop)))
if not eval("m." + ending_condition + "(mas)"):
m.increment_cycle(mas)
m.run_one_cycle(mas)
app.update()
app.after(TIME_OF_FRAME, tki_experiment_loop, mas)
def move_agent(agent, mas, cfg, matrix):
pop = m.get_pop(mas)
matrix = e.get_cell_matrix(m.get_env(mas))
size = len(matrix)
if cfg["RULE_AGENT"] == 'default':
new_position = agent_move_to_random_position(mas, agent, size, cfg)
(col, lig) = new_position
set_pos(agent, new_position)
set_sugar_level(
agent,
float(get_sugar_level(agent)) - float(get_metabolism(agent)))
new_sugar_agent, new_sugar_cell = eat_sugar(agent, mas)
set_sugar_level(agent, new_sugar_agent)
matrix[lig][col][1] = new_sugar_cell
if cfg["RULE_AGENT"] == 'RA1':
new_position = RA1(mas, agent, matrix)
if cfg["RULE_AGENT"] == 'RA2':
new_position = RA2(mas, agent, matrix)
if cfg["RULE_AGENT"] == 'RA3':
new_position = RA3(mas, agent)
if cfg["RULE_AGENT"] == None:
raise Exception('Invalid syntax for the moving rules')
return new_position
def agent_move_to_random_position(mas, agent, size, cfg):
pop = m.get_pop(mas)
return (random.randint(1, int(size) - 1), random.randint(1, int(size) - 1))
