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      <title-group>
        <article-title>Exploring Methods for Exploring Models</article-title>
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        <contrib contrib-type="author">
          <string-name>Kevin Gluck</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
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          <institution>Senior Cognitive Scientist Air Force Research Laboratory Wright-Patterson Air Force Base</institution>
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          <addr-line>Ohio</addr-line>
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          <country country="US">USA</country>
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      <p>I will use this colloquium as an opportunity to
introduce the motivation, approach, and
portfolio of research we have developed at
AFRL’s Cognitive Models and Agents Branch
over the course of the last decade. A prominent
feature of our approach is an emphasis on
computational cognitive process modeling,
especially in the context of cognitive
architecture, so I will provide some background
and history on that scientific perspective.
Recently we have begun exploring the use of
technologies and methods that are increasing
the pace of our modeling progress. These
include high performance and volunteer
computing, stochastic sampling and predictive
analytics, and dynamic visualization of
interacting parameter spaces. The general
point, which I hope to use to generate some
constructive (and perhaps controversial)
discussion, is that the cognitive science
community needs a more efficient and
productive infrastructure for achieving
theoretical breadth and integration in
mathematical and computational modeling.
Kevin Gluck is a Senior Cognitive Scientist with
the Air Force Research Laboratory at
WrightPatterson Air Force Base, Ohio. His research
interests focus on computational and
mathematical models of cognitive processes to
improve our understanding of human
performance and learning, with emphasis on:
learning and forgetting, fatigue, decision
heuristics, and distributed and high
performance computing for cognitive science.
Kevin is leading the expansion of the Human
Effectiveness Directorate's in-house
investments in cognitive modeling personnel
and research lines. He is also the Chair of AFRL's
Robust Decision Making Strategic Technology
Team, which is a multi-disciplinary,
crossDirectorate team of scientists and engineers
working on a collection of research projects
striving to measure, model, and ensure high
quality in complex decision processes and
outcomes. Kevin's PhD in Cognitive Psychology
is from Carnegie Mellon University. He has
worked with AFRL for 15 years, has authored or
co-authored more than 50 journal articles, book
chapters, and conference papers, and has
played a lead role in the organization and
management of 13 international conferences
and workshops. In portions of 2010 and 2011,
Kevin held a "Gastwissenschaftler" (Visiting
Scientist) position at the Max Planck Institute
for Human Development in Berlin, Germany. In
2011 he was honored to be the first-ever
recipient of the Governing Board Award for
Distinguished Service to the Cognitive Science
Society.</p>
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