Agent Messages That Mean Something: Speech Acts, Performatives, and ACLs

Author(s): Souradip Pal

Originally published on Towards AI.

Why true communication between agents starts with understanding intent, not just sending data.

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The article discusses the importance of meaningful communication between AI agents, emphasizing that true understanding begins with grasping intent rather than only exchanging data. It delves into speech act theory, distinguishing between different types of acts within communication, including performative actions that create commitments. The role of Agent Communication Languages (ACLs) like KQML and FIPA-ACL is explained as frameworks that enhance communication by embedding intention within messages. The article also touches upon the ongoing evolution of communication protocols, advocating for clearer intent in modern systems to facilitate effective dialogues and overcome common pitfalls in agent interactions.

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Published via Towards AI