Possibilistic Reasoning in Multi-Context Systems: Preliminary Report
This paper makes the first attempt to establish a framework for possibilistic reasoning in (nonmonotonic) multi-context systems, called possibilistic MCS. We first introduce the syntax for possibilistic MCS and then define its equilibrium semantics based on Brewka and Eiter's nonmonotonic multi-context systems. Then we investigate several properties and develop a fixoint theory for possibilistic MCS.
PRICAI 2012: Trends in Artificial Intelligence 12th Pacific Rim International Conference on Artificial Intelligence
Artificial Intelligence and Image Processing not elsewhere classified