Artificial intelligence publications

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).

We first show that for an STN, these messages can be represented compactly as sub-STNs. We then present an efficient message passing scheme for computing the minimal constraints of an…

We present a method for inferring and constructing transport reactions for transporter proteins based primarily on the analysis of the names of individual proteins in the genome annotation of an…

Presents the introductory welcome message from the conference proceedings of the 2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications.

We propose a framework that augments learning by demonstration through a facility for asking questions of the demonstrator. We define a catalog of questions designed to inform learning by demonstration…

In this work, we apply heuristic search to conformant probabilistic planning by adapting planning graph heuristics developed for non-deterministic planning. We evaluate a straight-forward application of these planning graph techniques,…

The paper builds on ideas from dynamic logic to present a solution to the representation and evolution of agent intentions involving reference to incompletely specified and, possibly, mutually dependent intentions,…

Both the formal basis and a framework for the implementation of automated reasoning systems based upon these techniques are presented. The formal and practical approaches are divided into four parts.

We consider the problem of autonomous navigation in an unstructured outdoor environment. The goal is for a small outdoor robot to come into a new area, learn about and map…

The AI and HCI communities have often been characterized as having opposing views of how humans and computers should interact" observes Winograd in "Shifting Viewpoints". Reconciling these views requires a…