Neural Mastery
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#377. Agent Leader Electionhard

#377. Agent Leader Election

hardMulti-Agent Systems⏱ 25–30 min
⚡ Libraries allowed · Pure Python earns +10 bonus XP
🎯 Mission
Implement #377. Agent Leader Election to master core AI engineering concepts in Multi-Agent Systems.

Task

Implement `agent_leader_election` in Python. Test cases verify edge cases and functional requirements.

Function Signature

agent_leader_election(*args, **kwargs)

Examples

Example 1: Basic Execution
Input: {}
Output: true
Explanation: Verifies core execution for #377. Agent Leader Election.

Constraints

  • Libraries (NumPy, PyTorch, SciPy) are allowed and accepted normally.
  • Pure Python (no external libraries) earns +10 Bonus XP!
  • Must handle edge cases cleanly.
Python3Saved ✓
def agent_leader_election(*args, **kwargs):
"""
Multi-Agent Systems - Problem #377: Agent Leader Election
Implement solution for Agent Leader Election in the Neural Mastery AI Engineering curriculum.
"""
# Implement core solution logic here
pass

Case 1: Basic Execution
Input: {}
Expected: true