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Home » Publication » Artificial intelligence publications

Artificial intelligence publications

Artificial intelligence publications November 3, 2022

Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments

Aravind Sundaresan, Pedro Sequeira, Vidyasagar Sadhu

We present an approach for autonomous sensor control for information gathering under partially observable, dynamic and sparsely sampled environments.

Artificial intelligence publications November 1, 2022

Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning

Melinda Gervasio, Pedro Sequeira

Our new framework provides various measures of RL agent competence stemming from interestingness analysis and is applicable to a wide range of RL algorithms.

Artificial intelligence publications October 8, 2022

Accelerating Human Authorship of Information Extraction Rules

John Niekrasz, Dayne Freitag

We simulate the process of corpus review and word list creation, showing that several simple interventions greatly improve recall as a function of simulated labor.

Artificial intelligence publications August 17, 2022

A Framework for understanding and Visualizing Strategies of RL Agents

Pedro Sequeira, Jesse Hostetler, Melinda Gervasio

We present a framework for learning comprehensible models of sequential decision tasks in which agent strategies are characterized using temporal logic formulas.

Artificial intelligence publications August 1, 2022

Experimental Evaluation of Subject Matter Expert-Oriented Knowledge Base Authoring Tools

SRI International

We describe a large-scale experiment in which non-artificial intelligence subject matter experts (SMEs)—with neither artificial intelligence background nor extensive training in the task—author knowledge bases (KBs) following a challenge problem specification with a strong question-answering component.

Artificial intelligence publications July 1, 2022

Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space

Eric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda Gervasio

We present a novel generative method for producing unseen and plausible counterfactual examples for reinforcement learning (RL) agents based upon outcome variables that characterize agent behavior.

Artificial intelligence publications June 2, 2022

VALET:  Rule-Based Information Extraction for Rapid Deployment

Dayne Freitag

We present VALET, a framework for rule-based information extraction written in Python. We show how a handful of rules suffices to implement sophisticated matching, and describe a user interface that facilitates exploration for development and maintenance of rule sets.

Artificial intelligence publications March 8, 2022

An Ontology-Based Dialogue Management Framework for Virtual Personal Assistants in Common Lisp

SRI International

We present a new approach to dialogue specification for Virtual Personal Assistants (VPAs) based on so-called dialogue workflow graphs. Our approach relies on Semantic Web technology (OWL), implemented in Common Lisp with the help of the Racer reasoner.

Artificial intelligence publications October 31, 2021

Metabolic Modeling with MetaFlux 

Peter Karp, Mario Latendresse, Wai Kit Ong

The MetaFlux software supports creating, executing, and solving quantitative metabolic flux models using flux balance analysis (FBA).

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