This paper describes our methodology for building conformant planners, which is based on recent advances in the theory of action and change and answer set programming. The develop...
Phan Huy Tu, Tran Cao Son, Michael Gelfond, A. Ric...
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
There have been several efforts to bring static type inference to object-oriented dynamic languages such as Ruby, Python, and Perl. In our experience, however, such type inference...
Jong-hoon (David) An, Avik Chaudhuri, Jeffrey S. F...
Gradual typing lets programmers evolve their dynamically typed programs by gradually adding explicit type annotations, which confer benefits like improved performance and fewer r...