A natural language exchange model for enabling human, agent, robot and machine interaction

Abstract

Models of communications in heterogeneous systems support exchange between agents of different types. A key component is making the heterogeneous agents appear indistinguishable to and from each other in terms of language, to normalize communication. A goal is to act as an open system, where the agents can come and exit as needed by the requirements of the overall goal of the system. The main goal of this research is the creation of a communicative model to support interaction, organization and collective intelligence features between a heterogeneous set of agents as machines, robots, software agents, and humans, all working in a cooperative organization. Communication appears as a natural language interface between all agents to enable clear, indistinguishable communication between all within the organization.