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Conversation interfaces (CIs), or chatbots, are a popular form of intelligentagents that engage humans in task-oriented or informal conversation. In thisposition paper and demonstration, we argue that chatbots working in dynamicenvironments, like with sensor data, can not only serve as a promising platformto research issues at the intersection of learning, reasoning, representationand execution for goal-directed autonomy; but also handle non-trivial businessapplications. We explore the underlying issues in the context of Water Advisor,a preliminary multi-modal conversation system that can access and explain waterquality data.

On Chatbots Exhibiting Goal-Directed Autonomy in Dynamic Environments