Hierarchical Compositionality for Assistive AI Agents

A new arXiv paper (2608.10330) proposes designing AI agents with hierarchical compositionality, drawing on early AI principles. The research addresses ambiguity in object reference by humans, suggesting agents use compositional knowledge of domain context and user preferences. The approach contrasts with current LLM-based methods, which are resource-intensive and opaque. The paper is categorized as 'new' and focuses on architecture design for assistive agents.