Bhalchandra Agashe

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A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason over the model. Natural Language Processing advances in syntax and semantics have made it possible to extract a limited form of meaning from sentences. Knowledge Representation(More)
We present and evaluate the design of Garfield, our Supply Chain management agent, which has been designed to work in the TAC SCM test bed. In this report, we provide a brief introduction to the SCM problem and the TAC SCM test bed and follow it up with a detailed design overview of our agent. We then evaluate our agent in several experimental settings and(More)
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