Natural language as an Agent Communication Language

نویسندگان

  • Olivia Catherine March
  • Adrian Pearce
چکیده

Intelligent agents should be able to communicate with each other using an extensible, expressive language. Agents should have the ability work together in a heterogeneous environment to solve complex goals, while, acting on their own initiative and maintaining autonomy. Current agent communication languages are not expressive enough to facilitate coordination of agents in a heterogeneous system. Natural languages, such as English have evolved to become expressive enough to advance the human race to be the dominant species. It has been refined over millenia and is proven extensible. This research demonstrates the feasibility of using natural language as an agent communication language for intelligent agents solving a collaborative task.

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تاریخ انتشار 2004