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Defining Sensors ​

Sensors take measurements of the world around us. They serve as senses for your intelligent autonomous agent, providing the feedback from which it learns and reports the results of its actions, step by step. Sensors report data to agents using sensor variables.

Defining Sensor Variables ​

python
state1 = Sensor("state1", "the counter")
time_counter = Sensor("time_counter", "the time counter")
sensors = [state1, time_counter]

Creating a Sensor Definition File (Optional) ​

A cleaner agent.py file helps keep your agent organized. So, we recommend creating a separate file (e.g. sensors.py) to contain the sensor definitions. Alternatively, you can include the sensor definitions in the agent Python file. Use the Sensor() method to create each sensor. The first argument is the sensor name that you can use to identify the variable during machine teaching and the second argument is a description. Create a list that contains each sensor variable.

python

from composabl import Sensor

state1 = Sensor("state1", "the counter")
time_counter = Sensor("time_counter", "the time counter")
sensors = [state1, time_counter]

Adding Sensors to your Agent ​

Add the list of sensors you created above to the agent with the add_sensors() method.

python

from composabl import Agent, Skill, Sensor, Perceptor, Scenario, Trainer
from .sensors import sensors

config = {
    "target": {
        "docker": {
            "image": "composabl/sim-demo:latest"
        }
    },
    "env": {
        "name": "sim-demo",
    },
    "license": "<This is your license key>",
    "training": {},
}

trainer = Trainer(config)
agent = Agent()
agent.add_sensors(sensors)