A Modular Architecture for Adaptive ChatBots

Salvatore Gaglio, Giovanni Pilato, Agnese Augello

Research output: Contribution to conferenceOtherpeer-review

10 Citations (Scopus)


We illustrate an architecture for a conversationalagent based on a modular knowledge representation. This solutionprovides intelligent conversational agents with a dynamicand flexible behavior. The modularity of the architecture allowsa concurrent and synergic use of different techniques, makingit possible to use the most adequate methodology for themanagement of a specific characteristic of the domain, of thedialogue, or of the user behavior. We show the implementation ofa proof-of-concept prototype: a set of modules exploiting differentknowledge representation techniques and capable to differentlymanage conversation features has been developed. Each moduleis automatically triggered through a component, named corpuscallosum, whose task is to choose, time by time, the most adequatechatbot knowledge section to activate.
Original languageEnglish
Number of pages4
Publication statusPublished - 2011

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

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