Artificial intelligence publications

When creating algorithms or systems that are supposed to be used by people, we should be able to adopt a “binocular” view of users’ interaction with intelligent systems: a view…

This paper presents a case study that explores how to instantiate a question asking framework to select questions for a particular type of learner used within learning by demonstration systems,…

Abstract The challenge in the DARPA Learning Applied to Ground Robots (LAGR) project is to autonomously navigate a small robot using stereo vision as the main sensor. During this project,…

We report our first experiences with Leaving Flatland, an exploratory project that studies the key challenges of closing the loop between autonomous perception and action on challenging terrain.

This case study article describes the iterative design process of an adaptive, mixed-initiative calendaring tool with embedded artificial intelligence. 

Although we appreciate the many challenges facing the current NIH grant system and applaud attempts at reform, we believe that several of the changes planned will cause more harm than…

Recent EcoCyc developments include a new initiative to represent and curate all types of E. coli regulatory processes such as attenuation and regulation by small RNAs.

In this extended abstract we describe the motivation, design, deployment and evaluation of the Emma system.

In this work we develop a representation that naturally combines the power of both relational and hierarchical models in the form of Logical Hierarchical Hidden Markov Models (LoHiHMMs).