Debate and consensus patterns in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to initialize two agents for debate.

Agentic AI

agent1 = Agent(name='Agent1')
agent2 = Agent(name=[1])

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

A'ConsensusAgent'

B'AgentOne'

C'Debater'

D'Agent2'

Attempts:

3 left

💡 Hint

Common Mistakes

Using the same name as the first agent.

Using unrelated names that confuse the roles.

The second agent should be named 'Agent2' to represent the second debater.

2fill in blank

medium

Complete the code to start a debate round between two agents.

Agentic AI

debate = Debate(agents=[agent1, agent2])
debate.[1]()

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

Astart

Bconclude

Cpause

Dreset

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'conclude' which ends the debate instead of starting it.

Using 'pause' which temporarily stops the debate.

The debate should be started with the 'start' method to begin the interaction.

3fill in blank

hard

Fix the error in the code to collect consensus from agents.

Agentic AI

consensus = debate.collect_[1]()

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

Aresults

Bvotes

Cconsensus

Dopinions

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'votes' which may refer to individual preferences, not final consensus.

Using 'results' which is too generic.

The method to collect the final agreement is 'collect_consensus'.

4fill in blank

hard

Fill both blanks to define a function that runs debate and returns consensus.

Agentic AI

def run_debate(agents):
    debate = Debate(agents=agents)
    debate.[1]()
    return debate.collect_[2]()

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

Astart

Bpause

Cconsensus

Dvotes

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'pause' instead of 'start' to begin the debate.

Using 'votes' instead of 'consensus' to collect results.

The debate must be started with 'start' and consensus collected with 'consensus'.

5fill in blank

hard

Fill all three blanks to create a consensus pattern with agents debating and agreeing.

Agentic AI

agents = [Agent(name='A1'), Agent(name='A2')]
debate = Debate(agents=[1])
debate.[2]()
final_consensus = debate.collect_[3]()

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

Aagents

Bstart

Cconsensus

Dparticipants

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'participants' instead of 'agents' for the debate constructor.

Using 'pause' or 'reset' instead of 'start' to begin.

Using 'votes' or 'results' instead of 'consensus' to collect.

The debate is created with 'agents', started with 'start', and consensus collected with 'consensus'.

Practice

1. What is the main purpose of debate patterns in agentic AI?

easy

A. To show different opinions and select the best one

B. To make all agents agree on the same answer

C. To train a single agent faster

D. To randomly pick an answer from agents

Solution

1. Step 1: Understand debate pattern goal

   Debate patterns involve agents sharing different opinions to explore ideas.

2. Step 2: Identify the outcome of debate

   The goal is to pick the best answer from these opinions, not just agree or random pick.

3. Final Answer:

   To show different opinions and select the best one -> Option A

4. Quick Check:

   Debate = select best opinion [OK]

Hint: Debate means different views, pick the best [OK]

Common Mistakes:

• Confusing debate with consensus
• Thinking debate forces agreement
• Believing debate picks random answers

2. Which code snippet correctly represents a consensus pattern among agents returning answers in Python?

easy

A. consensus = sum(answers)

B. consensus = min(answers)

C. consensus = answers[0]

D. consensus = max(set(answers), key=answers.count)

Solution

1. Step 1: Understand consensus pattern in code

   Consensus means picking the most common answer among agents.

2. Step 2: Identify code that finds most common answer

   Using max with key=answers.count finds the answer with highest frequency.

3. Final Answer:

   consensus = max(set(answers), key=answers.count) -> Option D

4. Quick Check:

   Consensus = most common answer [OK]

Hint: Consensus picks most frequent answer [OK]

Common Mistakes:

• Using min or sum instead of frequency count
• Picking first answer without checking frequency
• Confusing consensus with random choice

3. Given the following Python code for a debate pattern, what is the output?

agents = ['A', 'B', 'C']
opinions = {'A': 0.7, 'B': 0.9, 'C': 0.6}
best_agent = max(opinions, key=opinions.get)
print(best_agent)

medium

A. A

B. B

C. C

D. Error

Solution

1. Step 1: Understand max with key function

   max(opinions, key=opinions.get) finds key with highest value in opinions dictionary.

2. Step 2: Identify highest opinion value

   Values are 0.7 (A), 0.9 (B), 0.6 (C). Highest is 0.9 for B.

3. Final Answer:

   B -> Option B

4. Quick Check:

   Max opinion = B [OK]

Hint: max with key picks highest value key [OK]

Common Mistakes:

• Picking agent with lowest value
• Confusing keys and values in max
• Expecting error due to dictionary usage

4. Identify the bug in this consensus pattern code snippet:

answers = ['yes', 'no', 'yes', 'maybe']
consensus = max(answers, key=answers.count)
print(consensus)

medium

A. It does not handle ties correctly

B. max() cannot be used with key argument

C. answers.count is not a valid method

D. The list answers is empty

Solution

1. Step 1: Analyze max with key=answers.count behavior

   This finds the element with highest count, but if tie exists, it picks first max.

2. Step 2: Check for ties in answers list

   'yes' appears twice, 'no' and 'maybe' once each, so no tie here. But if tie existed, this method picks first max only.

3. Final Answer:

   It does not handle ties correctly -> Option A

4. Quick Check:

   Consensus tie handling = issue [OK]

Hint: max with count picks first max, ties not resolved [OK]

Common Mistakes:

• Thinking max can't use key argument
• Believing answers.count is invalid
• Assuming list is empty

5. You have three AI agents debating the best movie rating: Agent1 says 8.5, Agent2 says 9.0, Agent3 says 8.7. Using a debate pattern, which approach best selects the final rating?

hard

A. Pick the average rating of all agents

B. Randomly select any agent's rating

C. Select the rating from the agent with highest confidence

D. Choose the lowest rating to be safe

Solution

1. Step 1: Understand debate pattern goal

   Debate aims to compare opinions and pick the best based on confidence or quality.

2. Step 2: Identify best approach for final rating

   Choosing the rating from the agent with highest confidence aligns with debate selecting best opinion.

3. Final Answer:

   Select the rating from the agent with highest confidence -> Option C

4. Quick Check:

   Debate picks best confident opinion [OK]

Hint: Debate picks best confident opinion, not average [OK]

Common Mistakes:

• Averaging ratings (consensus, not debate)
• Picking lowest rating without reason
• Random selection ignoring confidence