Handling conflicts between agents in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to initialize the conflict resolution method for agents.

Agentic AI

conflict_resolver = AgentConflictManager([1]=True)

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

Aenable_resolution

Ballow_conflicts

Cconflict_mode

Dresolve_conflicts

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'allow_conflicts' which would permit conflicts instead of resolving them.

Using 'conflict_mode' which is not a valid parameter.

The parameter 'resolve_conflicts' enables the conflict resolution mechanism between agents.

2fill in blank

medium

Complete the code to detect conflicts between two agents' actions.

Agentic AI

if agent1.action [1] agent2.action:
    handle_conflict()

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

A!=

B==

Cin

Dnot in

Attempts:

3 left

💡 Hint

Common Mistakes

Using '==' which checks if actions are the same, not conflicting.

Using 'in' or 'not in' which are not appropriate for direct action comparison.

Conflicts occur when the actions are different, so '!=' is used to detect conflicting actions.

3fill in blank

hard

Fix the error in the conflict resolution function call.

Agentic AI

result = resolve_conflict(agent1, agent2, strategy=[1])

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A'priority'

Brandom

C'random'

Dpriority

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the strategy without quotes causing a NameError.

Using an undefined variable instead of a string literal.

The strategy parameter expects a string, so the value must be in quotes.

4fill in blank

hard

Fill both blanks to create a dictionary mapping agents to their chosen conflict resolution strategies.

Agentic AI

strategies = {agent1: [1], agent2: [2]

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A'compromise'

B'voting'

C'negotiation'

D'arbitration'

Attempts:

3 left

💡 Hint

Common Mistakes

Using non-string values without quotes.

Assigning the same strategy to both agents.

Assigning 'compromise' to agent1 and 'negotiation' to agent2 shows different conflict resolution strategies.

5fill in blank

hard

Fill all three blanks to filter conflicting agents and apply a resolution method.

Agentic AI

conflicting_agents = [agent for agent in agents if agent.status == [1]]
resolution_method = [2]
results = [resolution_method(agent) for agent in conflicting_agents if agent.priority [3] 5]

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

A'conflicted'

Bresolve_agent_conflict

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong status string without quotes.

Using a comparison operator that selects lower priority agents.

Passing a string instead of a function for the resolution method.

We filter agents with status 'conflicted', use the function 'resolve_agent_conflict', and apply it only to agents with priority greater than 5.