AI RESEARCH
CBCL: Safe Self-Extending Agent Communication
arXiv CS.AI
•
ArXi:2604.14512v1 Announce Type: cross Agent communication languages (ACLs) enable heterogeneous agents to share knowledge and coordinate across diverse domains. This diversity demands extensibility, but expressive extension mechanisms can push the input language beyond the complexity classes where full validation is tractable. We present CBCL (Common Business Communication Language), an agent communication language that constrains all messages, including runtime language extensions, to the deterministic context-free language (DCFL) class.