def bootstrap_agent():
agent_host = bootstrap_specific(world_file, clients, 0)
agent = CLAgent.build(agent_host, map_file)
while agent.host().getWorldState().is_mission_running:
time.sleep(1)
agent.observe(join=True)
def bootstrap_human():
agent_host = bootstrap_specific(world_file, clients, 1)
agent = MalmoAgent.build(agent_host)
time.sleep(3)
agent.speak(SpeechTMR.build("Go to the grocery store."), join=True)
time.sleep(14)
agent.speak(SpeechTMR.build("Actually, go to the pharmacy first."),
join=True)
while agent.host().getWorldState().is_mission_running:
time.sleep(2)
def bootstrap_sasha():
agent_host = bootstrap_specific(
("tests.resources", "multiexample.xml"), clients, 0)
agent = MalmoAgent.build(agent_host)
action = False
while agent.host().getWorldState().is_mission_running:
time.sleep(2)
if not action:
tmr = SpeechTMR.build("Hello world.")
agent.speak(tmr, join=True)
action = True
def bootstrap_sasha():
agent_host = bootstrap_specific(("tests.resources", "25world.xml"),
clients, 0)
agent = CLAgent.build(agent_host, None)
action = False
time.sleep(1)
while user.host().getWorldState().is_mission_running:
time.sleep(1)
if not action:
tmr = SpeechTMR.build(
"My name is Ozymandias, king of agents: Look on my works, ye Mighty, and despair!"
)
user.speak(tmr, join=True)
action = True
user.observe(join=True)
def bootstrap_agent():
agent_host = bootstrap_specific(
("worldtest.resources", "multiworld.xml"), clients, 1)
agent = CLAgent.build(agent_host, None)
# The agent needs to know who the User is, so the input signal can be attributed to the speaker correctly.
user = Frame("@ENV.AGENT.?").add_parent("@ONT.AGENT")
user["HAS-NAME"] = "User"
# Disable all of the other signal observations for optimization of this example.
from ontocraft.observers.position import PositionSignal
from ontocraft.observers.vision import SupervisionSignal
# agent.disable_observer(PositionSignal)
# agent.disable_observer(SupervisionSignal)
# Make sure Jake knows how to respond to an analyzed speech act.
agent.add_response(Frame("@ONT.SPEECH-ACT"), CommandHandleExecutable)
while agent.host().getWorldState().is_mission_running:
time.sleep(1)
agent.observe(join=True, chat_debug=True)
def bootstrap_jake():
agent_host = bootstrap_specific(
("tests.resources", "multiexample.xml"), clients, 1)
agent = MalmoAgent.build(agent_host)
# Jake needs to know who Sasha is, so the input signal can be attributed to the speaker correctly.
sasha = Frame("@ENV.AGENT.?").add_parent("@ONT.AGENT")
sasha["HAS-NAME"] = "Sasha"
# Disable all of the other signal observations for optimization of this example.
from ontocraft.observers.position import PositionSignal
from ontocraft.observers.vision import SupervisionSignal
agent.disable_observer(PositionSignal)
agent.disable_observer(SupervisionSignal)
# Make sure Jake knows how to respond to an analyzed speech act.
agent.add_response(Frame("@ONT.SPEECH-ACT"), RespondToChatExecutable)
while agent.host().getWorldState().is_mission_running:
time.sleep(2)
agent.observe(join=True)
def bootstrap_user():
agent_host = bootstrap_specific(
("worldtest.resources", "multiworld.xml"), clients, 0)