Toward Automated Evolution of Agent Communication Languages

Reference: Piotr J. Gmytrasiewicz, Matthew Summers, Dhruva Gopal (2001). AAAI (American Association for Artificial Intelligence). Source file: gmytrasiewicz02towardAutomated.pdf. URL

Summary

Instead of designing ACLs centrally (like KQML or FIPA), the authors propose letting rational, self-interested agents evolve a shared ACL on the fly when they encounter each other. Each agent has its own internal knowledge representation language (KRL) and decides, via Bayesian decision theory and expected-utility calculations, which messages are worth sending and which new ACL constructs are worth negotiating into the shared vocabulary.

Language creation is modeled as a negotiation game drawing on Rubinstein bargaining: agents propose grammatical rules and terminal labels, weigh them against translation/implementation costs and the value of faster communication, and reach Nash-equilibrium agreements. They illustrate with a Wumpus-world scenario, showing how pidgin ACLs grow into richer creole-like languages via unsupervised learning of transducers and negotiation of new lexicon/grammar productions.

Key Ideas

  • ACL emerges from pairwise negotiation instead of top-down standardization.
  • Rational agents use expected-utility gains from communication to drive language extension.
  • Translator modeled as a finite-state transducer between KRL and ACL.
  • Rubinstein bargaining gives closed-form agreement on new ACL constructs.
  • Evolution from pidgin to creole through repeated interaction.

Connections

Conceptual Contribution

Tags

#acl-evolution #negotiation #game-theory #language-emergence

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