Presenter
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Title
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Wesley Kerr
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Language Learning in Wubble World
|
Jeremiah McGhee
|
Update on Soar 9 and Sentence Processing
|
Thomas Mielke
|
MindModeling@Home: A Computing Resource for Cognitive Modeling
|
John Laird
|
Overview of Michigan Soar Research
|
Jonathan Voigt
|
Soar on Splinter
|
Mark Yong
|
Interfacing Soar to a Robot
|
Sam Wintermute
|
Using Imagery to Simplify Perception
|
Mitchell Bloch
|
Hierarchical Reinforcement Learning in the Taxicab Domain
|
Shiwali Mohan
|
Learning to play Mario
|
Nate Derbinsky
|
Efficiently Implementing Episodic Memory
|
Nick Gorski
|
Learning to Use Episodic Memory
|
Joseph Xu
|
Instance Based Model Learning
|
Ningxuan Wang
|
EDEE: A New Environment for Soar
|
Olivier Georgeon
|
A Soar model of Bottom-Up Learning from Activity
|
Randy Jones
|
Learning New Air Combat Tactics with Cascade
|
Nate Derbinsky
|
Soar-SMem: A Public Pilot
|
Yongjia Wang
|
Integration of Concept Memory and Probabilistic Category Learning
|
Bob Marinier
|
Deriving Appraisals from Sequence and Causal Concept Networks
|
Mike van Lent
|
Soar Tech Update
|
Brian Stensrud
|
Adaptive Tailoring of Student Learning: Notes on a Soar Approach
|
Brian Magerko
|
Empirical Findings from a Study of Cognition and Improvisation
|
Dave Ray
|
JSoar: A Pure Java Implementation of Soar
|
Nate Derbinsky
|
iSoar
|
Jonathan Voigt
|
Soar 9.0.1
|
John Laird
|
Millions of Rules, Billions of Decisions
|
Bob Marinier
|
Thoughts on the Future of HLSR
|
Sean Bittle
|
Constrained Heuristic Search in the Soar Cognitive Architecture
|
Bob Wray
|
The Need for Architecture Simulation
|
Paul Rosenbloom
|
Graphical Models for Cognitive Architecture
|
John Laird
|
Limited Parallel Operators for Soar
|
Sam Wintermute
|
Augmenting Soar with Non-Symbolic Processing via the IO Link
|
|
Discussion Topic Notes
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