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–Neural Information Processing Systems
First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The paper considers multi-agent systems where a voting rule is used to aggregate decisions of individual agents to solve a problem. One can consider the agents as sampling from a noisy distribution centered around the true ranking of the alternatives at each state. They show that if the agents are copies of each other, in the sense that the agents produce samples (preferences for alternatives) from the same distribution then it is likely that system votes for a sub-optimal alternative. On the other hand, if we have many agents that have sufficient diversity then the system is likely to vote for the optimal alternatives in almost every state.
Neural Information Processing Systems
Oct-3-2025, 04:33:42 GMT
- Country:
- North America > Canada > Quebec > Montreal (0.04)
- Genre:
- Research Report > New Finding (0.95)
- Technology: