d by recent research in abstract model checking, we present a new approach to inferring dependent types. Unlike many of the existing approaches, our approach does not rely on prog...
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
In functional programming, monadic characterizations of computational effects are normally understood denotationally: they describe how an effectful program can be systematically ...
A framework for translating speaker's meaning or intention is proposed based on two notions, Illocutionary Force Types (IFTs) for analysis and Decision Parameters (DPs) for g...
Natural language understanding systems require a knowledge base provided with conceptual representations reflecting the structure of human beings' cognitive system. Although ...