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Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules
The article introduces 'agentic fitness functions' as a novel method to evaluate architectural decisions using AI agents and versioned rubrics, aiming to improve evolutionary architecture governance by addressing subjective, judgment-heavy concerns that deterministic rules cannot capture.
Aug 17, 2026
What Is a Skill Worth? Structure-Aware Shapley Valuation of Agent Skills
Researchers introduced SkillSV, a structure-aware Shapley valuation framework to assign credit to internal components (e.g., rules, scripts, heuristics) of AI agent skills—enabling more faithful, actionable, and explainable skill analysis under fixed agents and task distributions.
Aug 6, 2026
Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines
Target deployed an internal LLM-based semantic matching system to automate and improve marketing campaign forecasting by retrieving and ranking analogous past campaigns, replacing manual, rule-based processes.
Published Jun 29, 2026 · Analyzed Jul 4, 2026