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.

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

We discuss experiences from evaluating the learning performance of a user-adaptive personal assistant agent. 

We describe an AI-enhanced task management tool developed for a military environment, which differs from office environments in important ways: differing time scales, a focus on teams collaborating on tasks…

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

We show that box invariance can be checked in cubic time for linear and affine systems, and that it remains decidable for classes of nonlinear systems of interest (with polynomial…

We show that simple efficient many-class learning can perform well for action prediction, significantly improving over previously published results and baselines.

A mixed-initiative agent for personal time management interacts not only with its human owner but also with other agents and humans that share or depend on the same time commitments.