Artificial intelligence publications
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Pathway Tools version 13.0: integrated software for pathway/genome informatics and systems biology
Pathway Tools is a production-quality software environment for creating a type of model-organism database called a Pathway/Genome Database (PGDB).
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Learning to Ask the Right Questions
Asking questions can clarify concepts, test hypotheses, add missing information, or provide additional knowledge to facilitate learning. The last item motivates the work described in this paper.
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A World Wider than the Web: End User Programming Across Multiple Domains
This chapter presents Integrated Task Learning (ITL), an approach for learning procedures across domains using end-user programming (EUP).
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Using Data Mining Findings to Aid Searching for Better Cognitive Models
We propose a hybrid approach in which we leverage findings from our previous educational data mining work to aid the search for a better cognitive model and thus, improve the…
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Bounded Verification of Adaptive Flight Control Systems
We formally verify a direct model reference adaptive control (MRAC) method that is used to enable flight control in adverse conditions.
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Pathway Tools Version 13.0: Integrated Software for Pathway/Genome Informatics and Systems Biology
Pathway Tools is a production-quality software environment for creating a type of model-organism database called a Pathway/Genome Database (PGDB).
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The Metacyc Database of Metabolic Pathways and Enzymes and the Biocyc Collection of Pathway/Genome Databases
Each BioCyc PGDB contains the predicted metabolic network of one organism, including metabolic pathways, enzymes, metabolites and reactions predicted by the Pathway Tools software using MetaCyc as a reference database.
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Task Assistant: Personalized Task Management for Military Environments
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…
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Deductive Formation of Recursive Workflows
We present an action theory with the power to represent recursive plans and the capability to reason about and synthesize recursive workflow control structures.
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Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling Assistant
We discuss experiences from evaluating the learning performance of a user-adaptive personal assistant agent.
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Box Invariance in Biologically-Inspired Dynamical Systems
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…
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Efficient Online Learning and Prediction of Users’ Desktop Actions
We show that simple efficient many-class learning can perform well for action prediction, significantly improving over previously published results and baselines.