2 research outputs found
On Chatbots Exhibiting Goal-Directed Autonomy in Dynamic Environments
Conversation interfaces (CIs), or chatbots, are a popular form of intelligent
agents that engage humans in task-oriented or informal conversation. In this
position paper and demonstration, we argue that chatbots working in dynamic
environments, like with sensor data, can not only serve as a promising platform
to research issues at the intersection of learning, reasoning, representation
and execution for goal-directed autonomy; but also handle non-trivial business
applications. We explore the underlying issues in the context of Water Advisor,
a preliminary multi-modal conversation system that can access and explain water
quality data.Comment: 3 page
Decision-support for the Masses by Enabling Conversations with Open Data
Open data refers to data that is freely available for reuse. Although there
has been rapid increase in availability of open data to public in the last
decade, this has not translated into better decision-support tools for them. We
propose intelligent conversation generators as a grand challenge that would
automatically create data-driven conversation interfaces (CIs), also known as
chatbots or dialog systems, from open data and deliver personalized analytical
insights to users based on their contextual needs. Such generators will not
only help bring Artificial Intelligence (AI)-based solutions for important
societal problems to the masses but also advance AI by providing an integrative
testbed for human-centric AI and filling gaps in the state-of-art towards this
aim.Comment: 6 pages. arXiv admin note: text overlap with arXiv:1803.0978