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2008

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Articles 20131 - 20135 of 20135

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Socially Rational Models For Autonomous Agents, Wynn C. Stirling, James K. Archibald, Matthew S. Nokleby Jan 2008

Socially Rational Models For Autonomous Agents, Wynn C. Stirling, James K. Archibald, Matthew S. Nokleby

Faculty Publications

Autonomous multi-agent systems that are to coordinate must be designed according to models that accommodate such complex social behavior as compromise, negotiation, and altruism. In contrast to individually rational models, where each agent seeks to maximize its own welfare without regard for others, socially rational agents have interests beyond themselves. Such models require a new type of utility function a social utility to ensure three desirable properties: (a) conditional preferences agents may adjust their preferences to account for the preferences of others; (b) endogeny group preferences are determined internally by interactions between individual agents; (c) framing invariance reformulations of the …

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Time Reversal, Brian E. Anderson, Michele Griffa, Paul A. Johnson, Carene Larmat, Timothy J. Ulrich Jan 2008

Time Reversal, Brian E. Anderson, Michele Griffa, Paul A. Johnson, Carene Larmat, Timothy J. Ulrich

Faculty Publications

This article provides an historical overview of Time Reversal (TR), introduces its basic physics, addresses advantages and limitations, and describes some applications of this very active research area of acoustics. In the Geophysics Group at the Los Alamos National Laboratory, we conduct studies of TR of elastic waves in solids. Our work includes application of TR to nondestructive evaluation of materials, as well as to earthquake source characterization, and ground-based nuclear explosion monitoring. We emphasize the term elastic waves here to underscore that we include both compression and shear waves, in contrast to purely acoustic waves that are only compressional.

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Adapting Adtrees For High Arity Features, Irene Langkilde-Geary, Robert Van Dam, Dan A. Ventura Jan 2008

Adapting Adtrees For High Arity Features, Irene Langkilde-Geary, Robert Van Dam, Dan A. Ventura

Faculty Publications

ADtrees, a data structure useful for caching sufficient statistics, have been successfully adapted to grow lazily when memory is limited and to update sequentially with an incrementally updated dataset. For low arity symbolic features, ADtrees trade a slight increase in query time for a reduction in overall tree size. Unfortunately, for high arity features, the same technique can often result in a very large increase in query time and a nearly negligible tree size reduction. In the dynamic (lazy) version of the tree, both query time and tree size can increase for some applications. Here we present two modifications to …

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A Reductio Ad Absurdum Experiment In Sufficiency For Evaluating (Computational) Creative Systems, Dan A. Ventura Jan 2008

A Reductio Ad Absurdum Experiment In Sufficiency For Evaluating (Computational) Creative Systems, Dan A. Ventura

Faculty Publications

We consider a combination of two recent proposals for characterizing computational creativity and explore the sufficiency of the resultant framework. We do this in the form of a gedanken experiment designed to expose the nature of the framework, what it has to say about computational creativity, how it might be improved and what questions this raises.

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Utilizing Phrase-Similarity Measures For Detecting And Clustering Informative Rss News Articles, Yiu-Kai D. Ng, Maria Soledad Pera Jan 2008

Utilizing Phrase-Similarity Measures For Detecting And Clustering Informative Rss News Articles, Yiu-Kai D. Ng, Maria Soledad Pera

Faculty Publications

As the number of RSS news feeds continue to increase over the Internet, it becomes necessary to minimize the workload of the user who is otherwise required to scan through huge numbers of news articles to find related articles of interest, which is a tedious and often an impossible task. In order to solve this problem, we present a novel approach, called InFRSS, which consists of a correlation-based phrase matching (CPM) model and a fuzzy compatibility clustering (FCC) model. CPM can detect RSS news articles containing phrases that are the same as well as semantically alike, and dictate the degrees …

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