Smart Information Flow Technologies - computational models

Marshal

mboldt — Tue, 17 May 2016 21:43:39 +0000

Marshal is a digital personal assistant for model-based systems. As organizations apply systems in new situations and expect new behavior, the system model may no longer characterize the environment — the model is vulnerable to drift. Marshal reins in drifting models to ensure they best match the current environment. Marshal combines user events, answers to clarifying questions, and experimentation to actively correct its knowledge of the system model. With up-to-date models, Marshal suggests corrections, maintains provenance, and predicts future model drift. Marshal reduces the cost and latency of ongoing model maintenance. SIFT has applied Marshal to maintaining NASA planning and procedure models for crew planning and Extra-Vehicular Activity (EVA).

Date Initiated:

Tuesday, July 1, 2014

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Marshal

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Maintaining Evolving Domain Models

mboldt — Tue, 17 May 2016 20:57:20 +0000

When engineering an automated planning model, domain authors typically assume a static, unchanging ground-truth world. Unfortunately, this assumption can clash with reality, where domain changes often rapidly occur in best practices, effectors, or known conditions. In these cases, remodeling the domain causes domain experts to ensure newly captured requirements integrate well with the current model. In this work, we address this model maintenance problem in a system called Marshal. Marshal assists model maintainers by reasoning about their model as a (hidden) stochastic process. It issues queries, and learns models by observing query answers, plan solutions, and direct changes to the model. Our results indicate that anticipating model evolution leads to more accurate learned models over traditional approaches.

Citation:

Daniel Bryce, J. Benton, and Michael W. Boldt. Maintaining evolving domain models. In International Joint Conference on Artificial Intelligence, Jul 2016

Date Published:

Saturday, July 9, 2016

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Can Polite Computers Produce Better Human Performance?

admin — Sun, 02 Aug 2015 19:43:19 +0000

Citation:

Can Polite Computers Produce Better Human Performance? Peggy Wu and Christopher Miller. In Proceedings of ACM Multimedia 2010 International Conference, Oct. 25-29, 2010 Firenze, Italy.

Date Published:

Monday, October 25, 2010

Publication File:

2010-affine739-wu.pdf

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