Biography
James Allen’s research interests lie at the intersection
of language and reasoning, and span a range of issues
including natural language understanding, dialogue
systems, knowledge representation, common-sense
reasoning and planning. He has made significant
contributions in a wide range of areas in Artificial
Intelligence, including groundhreaking work in
plan-based models of speech acts, interval-based
temporal reasoning, plan recognition and dialogue
systems. In the last five years, he has been focusing on
designing and building end-to-end real-time spoken
dialogue systems that require and exploit common-sense
reasoning to collaborate with the user. The Rochester
Intelligent Planning System (TRIPS) is a planning
assistant that can converse in spoken natural language
with a person to create, discuss and evaluate various
different plans and situations. The system can be used
successfully to solve problems without any prior
training of the user.
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