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Dr Ken S Murray

Dr Ken S Murray*

Senior Computer Scientist

SRI International
Room EJ233
333 Ravenswood Avenue
Menlo Park, CA 94025-3493
USA

Phone:  (650) 859-6486
Fax: (650) 859-3735

Email: 
Home Page: 

Alumnus of the Artificial Intelligence Center

Past Projects

SHAKEN

A Knowledge Entry System for Subject Matter Experts

The goal of SHAKEN project is to enable subject matter experts , without any assistance from AI technologists, to assemble the models of processes and mechanisms so that questions about them can be answered by declarative inference and simulation.

Halo Pilot

A System for Representing Textbook Knowledge

The goal of the project is to demonstrate the current state-of-the-art in knowledge representation by attempting to answer the questions in an advance placement test in chemistry.

HARP

HARP: Human Augmented Reasoning through Patterning

This project developed: 1) cognitive aids that allow humans and machines to "think together" in real-time about complicated problems; 2) techniques to overcome the biases and limitations of the human cognitive system; 3) "cognitive amplifiers" that help teams of people rapidly and fully comprehend complicated and uncertain situations; and, 4) the means to rapidly and seamlessly cut across and complement existing hierarchical organizational structures.

LAW

The Link Analysis Workbench

The goal of this project is to develop the Link Analysis Workbench (LAW), a Web-accessible tool where analysts and machines collaboratively perform link analysis by defining hierarchical and temporal patterns, that include uncertain and qualitative elements, and by defining search strategies for pattern application, through a graphical user interface that supports direct graphical browsing and editing of patterns, search strategies, and summaries and details of resulting matches.

Software

PRIME

PRIME

The Probative Rapid Interactive Modeling Environment (PRIME) is a decision-support web application that provides modeling and reasoning capabilities intended to stretch the thinking of analysts and decision makers by producing a forecast of the plausible effects that could result from taking actions in a given situation. The plausibility of each forecast effect is explained by one or more structured arguments.

Publications

The following are in reverse chronological order of publication.
Showing most recent 5 out of 11 [View All]

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