Artificial intelligence publications

We provide an overview of the state of the art in end-user development, focusing on the different kinds of recommendations made to users. We identify four classes of suggestion that…

ML methods for pathway prediction perform as well as existing methods, and have qualitative advantages in terms of extensibility, tunability, and explainability.

We developed a general approach for reconstructing metabolic pathway complements of plant genomes. Two new reference databases were created and added to the core of the infrastructure: PlantCyc, and RESD.

Asking questions can clarify concepts, test hypotheses, add missing information, or provide additional knowledge to facilitate learning. The last item motivates the work described in this paper.

This chapter presents Integrated Task Learning (ITL), an approach for learning procedures across domains using end-user programming (EUP).

We propose a hybrid approach in which we leverage findings from our previous educational data mining work to aid the search for a better cognitive model and thus, improve the…

We formally verify a direct model reference adaptive control (MRAC) method that is used to enable flight control in adverse conditions.

Our long-term goal is to build a query answering system that can answer questions on a wide variety of topics and explain the answers.

Pathway Tools is a production-quality software environment for creating a type of model-organism database called a Pathway/Genome Database (PGDB).

We present an action theory with the power to represent recursive plans and the capability to reason about and synthesize recursive workflow control structures.