Artificial intelligence publications
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An Intelligent Personal Assistant for Task and Time Management
We describe an intelligent personal assistant that has been developed to aid a busy knowledge worker in managing time commitments and performing tasks. The system draws on a diverse set…
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Proactive Behavior of a Personal Assistive Agent
Our model for proactive assistance employs a meta-level layer to identify potentially helpful actions and determine when it is appropriate to perform them. We conclude by identifying technical challenges in…
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Deductive Biocomputing
We describe a deduction-based approach to biocomputation that semiautomatically combines knowledge, software, and data to satisfy goals expressed in a high-level biological language.
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Proactivity in an Intentionally Helpful Personal Assistive Agent
This position paper outlines some initial thoughts on desired forms of proactive behavior, and identifies technical challenges in developing systems that embody such behaviors.
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A meeting browser that learns
We present a system for extracting useful information from multi-party meetings and presenting the results to users via a browser.
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Using the MetaCyc pathway database and the BioCyc database collection
The MetaCyc database ( http://metacyc.org) is a collection of more than a thousand metabolic pathways from a wide variety of organisms, collected from the literature by manual curation.
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A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information
An updated genome-scale reconstruction of the metabolic network in Escherichia coli K-12 MG1655 is presented.
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Temporal Summarization of Plans
This paper presents an approach to summarizing temporal plans that focuses on identifying noteworthy temporal features. These techniques look for regularities or exceptional temporal elements, drawing on a modest domain…
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A Sequence Alignment Model Based on the Averaged Perceptron
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in contrast with comparable generative models,…
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A Categorization of Explanation Questions for Task Processing Systems
In this paper we propose a categorization of question types relevant to explaining task processing. For each question type, we also propose alternative explanation strategies for answering them.
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Using genome context data to identify specific types of functional associations in pathway/genome databases
Genome-context methods have proved useful in providing clues about functional annotations for many proteins. They detect many biological types of functional associations, and do not identify which type of functional…
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Explaining Task Processing in Cognitive Assistants that Learn
We will describe the ICEE (Integrated Cognitive Explanation Environment) explanation system and its approach to explaining task reasoning.