{"slug": "if-map-influence-function-inspired-agent-prioritization-in-multi-agent-systems", "title": "IF-MAP: Influence-Function-Inspired Agent Prioritization in Multi-Agent Systems", "summary": "Researchers propose IF-MAP, an influence-function-inspired method for prioritizing which agent to improve in an LLM-based multi-agent system, arguing that improving every agent can be prohibitively costly. The approach uses failure attribution to identify the agent whose improvement yields the greatest system-level gain under limited resources, though the source notes that an agent's responsibility for a failure alone does not fully determine that choice.", "body_md": "Improving every agent in an LLM-based multi-agent system can be prohibitively costly, making it important to identify which agent should be prioritized to achieve the greatest system-level gain with limited resources. Failure attribution can inform this decision, but an agent's responsibility for fa", "url": "https://wpnews.pro/news/if-map-influence-function-inspired-agent-prioritization-in-multi-agent-systems", "canonical_source": "https://aiflash.com/news/138232/", "published_at": "2026-10-23 17:40:02+00:00", "updated_at": "2026-10-23 17:41:39.225092+00:00", "lang": "en", "topics": ["ai-agents", "large-language-models", "ai-research", "artificial-intelligence"], "entities": ["IF-MAP"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/if-map-influence-function-inspired-agent-prioritization-in-multi-agent-systems", "markdown": "https://wpnews.pro/news/if-map-influence-function-inspired-agent-prioritization-in-multi-agent-systems.md", "text": "https://wpnews.pro/news/if-map-influence-function-inspired-agent-prioritization-in-multi-agent-systems.txt", "jsonld": "https://wpnews.pro/news/if-map-influence-function-inspired-agent-prioritization-in-multi-agent-systems.jsonld"}}