Artificial intelligence publications

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).

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

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…

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,…

The goal of the AI Meets Business Rules and Process Management AAAI symposium was to investigate the various approaches and standards to represent business rules, business process management, and the…

This paper also shows that the class of multiaffine systems, which has been used successfully for modeling and analyzing regulatory and biochemical reaction networks, can be generalized to the class…