Communication as Intelligence: Methods for Social Exchange using Natural Language

摘要

A general framework and various methods are described for creating virtual agents that use natural language to detect, process, recall and share socially relevant information. Since information exchange necessarily involves data, the basic element chosen for the agent framework is the variable: variables act as containers to label and store information. Methods building on this framework are demonstrated for capturing information using grammatical patterns, checking information, making inferences, committing information to memory, recalling what is learned, performing math operations, implementing situation agendas, capturing late responses to past question and ambiguous responses, Internet connectivity, general context evaluation, and cross (multi) user interaction. Additional methods are suggested for future exploration. The working software tool developed based on these methods is ideal for teaching Al and Computational Social Science as well as one way to approach functional natural language systems.