Scientific model-building can be a time-intensive and painstaking process, often involving the development of large and complex computer programs. Despite the effort involved, scientific models cannot easily be distributed and shared with other scientists. In general, implemented scientific models are complex, idiosyncratic, and difficult for anyone but the original scientific development team to understand. We believe that artificial intelligence techniques can facilitate both the model-building and model-sharing process. In this paper, we overview our effort to build a scientific modeling software tool that aids the scientist in developing and using models. This tool includes an interactive intelligent graphical interface, a high-level do...
As ever larger scientific endeavors are made, it becomes even more crucial that they be designed, pe...
In the fields of artificial intelligence and cognitive science, computational models of scientific d...
International audienceWorkflows are increasingly adopted to describe large-scale data- and compute-i...
The construction of scientific software models is an integral part of doing science, both within NAS...
Scientific model building can be an intensive and painstaking process, often involving the developme...
Computational science presents a host of challenges for the field of knowledge-based software design...
Scientific computation can benefit from software tools that facilitate construction of computational...
To ease the sharing of climate models with university students, Goddard Space Flight Center awarded ...
Ever since the mid-seventies, researchers have recognized that capturing knowledge is the key to bui...
The reproduction and replication of reported scientific results is a hot topic within the academic c...
AbstractThe complex problems that computational science addresses are more and more benefiting from ...
Abstract—The reproduction and replication of reported sci-entific results is a hot topic within the ...
In an ongoing collaborative effort between a group of NASA Ames scientists and researchers at the In...
The availability of high-performance computing (HPC) cyberinfrastructures (CI) like Ohio Supercomput...
Neuroscience increasingly uses computational models to assist in the exploration and interpretation ...
As ever larger scientific endeavors are made, it becomes even more crucial that they be designed, pe...
In the fields of artificial intelligence and cognitive science, computational models of scientific d...
International audienceWorkflows are increasingly adopted to describe large-scale data- and compute-i...
The construction of scientific software models is an integral part of doing science, both within NAS...
Scientific model building can be an intensive and painstaking process, often involving the developme...
Computational science presents a host of challenges for the field of knowledge-based software design...
Scientific computation can benefit from software tools that facilitate construction of computational...
To ease the sharing of climate models with university students, Goddard Space Flight Center awarded ...
Ever since the mid-seventies, researchers have recognized that capturing knowledge is the key to bui...
The reproduction and replication of reported scientific results is a hot topic within the academic c...
AbstractThe complex problems that computational science addresses are more and more benefiting from ...
Abstract—The reproduction and replication of reported sci-entific results is a hot topic within the ...
In an ongoing collaborative effort between a group of NASA Ames scientists and researchers at the In...
The availability of high-performance computing (HPC) cyberinfrastructures (CI) like Ohio Supercomput...
Neuroscience increasingly uses computational models to assist in the exploration and interpretation ...
As ever larger scientific endeavors are made, it becomes even more crucial that they be designed, pe...
In the fields of artificial intelligence and cognitive science, computational models of scientific d...
International audienceWorkflows are increasingly adopted to describe large-scale data- and compute-i...