Autonomous vs semi-autonomous agents in Agentic AI - Interactive Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define an autonomous agent class with a method to act independently.

Agentic AI

class AutonomousAgent:
    def __init__(self, name):
        self.name = name

    def [1](self):
        return f"{self.name} is acting on its own decisions."

Drag options to blanks, or click blank then click option'

Aact

Bdecide

Crun

Dmove

Attempts:

3 left

💡 Hint

Common Mistakes

Using method names that don't clearly indicate action like 'run' or 'move'.

The method act clearly represents the agent performing actions independently.

2fill in blank

medium

Complete the code to add a semi-autonomous agent method that requires human input.

Agentic AI

class SemiAutonomousAgent:
    def __init__(self, name):
        self.name = name

    def [1](self, command):
        return f"{self.name} executes command: {command}"

Drag options to blanks, or click blank then click option'

Aact

Bdecide

Cexecute

Dperform

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'act' which implies independent action rather than following commands.

The method execute fits well for a semi-autonomous agent that acts on commands.

3fill in blank

hard

Fix the error in the code to correctly check if an agent is autonomous.

Agentic AI

def is_autonomous(agent):
    if agent.[1] == 'act':
        return True
    else:
        return False

Drag options to blanks, or click blank then click option'

Aaction

Bact

Cexecute

Dperform

Attempts:

3 left

💡 Hint

Common Mistakes

Using attribute names that don't exist like 'action' or 'perform'.

The attribute to check should be the method name 'act' to identify autonomous agents.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps agent names to their action methods.

Agentic AI

agents = [autonomous_agent, semi_autonomous_agent]
actions = {agent.[1]: agent.[2] for agent in agents}

Drag options to blanks, or click blank then click option'

Aname

Bact

Cexecute

Dperform

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'execute' for all agents which is only for semi-autonomous.

The keys should be agent names and the values their 'act' methods for autonomous agents.

5fill in blank

hard

Fill all three blanks to define a function that calls the correct method based on agent type.

Agentic AI

def perform_action(agent, command=None):
    if hasattr(agent, '[1]'):
        return agent.[1]()
    elif hasattr(agent, '[2]') and command is not None:
        return agent.[2]([3])

Drag options to blanks, or click blank then click option'

Aact

Bexecute

Ccommand

Dperform

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'perform' which is not defined in the classes.

The function checks if the agent has 'act' method for autonomous action, else uses 'execute' with the given command.