Word graphs are able to represent a large number of different utterance hypotheses in a very compact manner. However, usually they contain a huge amount of redundancy in terms of ...
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
We define state transition grammars (STG) as an intermediate tbrmalism between grammars and parsing algorithms which is intended to separate the description of a parsing strategy ...
In this paper, we formulate agent's decision process under the framework of Markov decision processes, and in particular, the multi-agent extension to Markov decision process...
This paper proposes a theoretical framework for verifying and deriving code optimizations for programs written in parallel programming languages. The key idea of this framework is...