Carmichael, Ted


Predictive Models of User Performance for Marksmanship Training

AAAI Conferences

How the Army conducts rifle marksmanship training is undergo-ing a number of positive changes. Despite this, challenges to con-ducting and coordinating this critical training remain. One chal-lenge to assessing training effectiveness is a lack of persistent records of soldier performance; too often soldier data are purged shortly after training events for convenience and in order to en-sure privacy. This paper reports on our efforts to research the fea-sibility of collecting, analyzing, and storing data from multiple training systems, in order to accelerate and improve marksman-ship training. We do this through the use of cognitive, psychomo-tor, and affective constructs; and the use of predictive modeling techniques in order to forecast marksmanship qualification scores.These models successfully predicted scores on a 40-point scalewith a root mean square error (RMSE) of less than three, using models that are robust to changing input variables. Future im-provements and directions for this research are also discussed.


Linkage Objects for Generalized Instruction in Coding (LOGIC)

AAAI Conferences

Linkage Objects for Generalized Instruction in Coding (LOGIC) is an intelligent system for online tutoring which detects errors among programming exercises to improve understanding of student progress. This system represents an implementation of the Hint Factory method for automated hint generation. In this approach, variables and their dependencies are abstracted from correct coding solutions to determine all the possible paths towards a solution, regardless of the programming language or variable names. Incomplete programs can be compared to these unique paths after code normalization, and the next best line can be supplied in the form of a hint. Errors are recorded based on discrepancy between best-match and the student’s code. The final report categorizing all errors is compiled to benefit the teacher’s effectiveness, highlighting common errors made by students.


Reports of the AAAI 2011 Fall Symposia

AI Magazine

The Association for the Advancement of Artificial Intelligence was pleased to present the 2011 Fall Symposium Series, held Friday through Sunday, November 4–6, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the seven symposia are as follows: (1) Advances in Cognitive Systems; (2) Building Representations of Common Ground with Intelligent Agents; (3) Complex Adaptive Systems: Energy, Information and Intelligence; (4) Multiagent Coordination under Uncertainty; (5) Open Government Knowledge: AI Opportunities and Challenges; (6) Question Generation; and (7) Robot-Human Teamwork in Dynamic Adverse Environment. The highlights of each symposium are presented in this report.


Reports of the AAAI 2011 Fall Symposia

AI Magazine

The Association for the Advancement of Artificial Intelligence was pleased to present the 2011 Fall Symposium Series, held Friday through Sunday, November 4–6, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the seven symposia are as follows: (1) Advances in Cognitive Systems; (2) Building Representations of Common Ground with Intelligent Agents; (3) Complex Adaptive Systems: Energy, Information and Intelligence; (4) Multiagent Coordination under Uncertainty; (5) Open Government Knowledge: AI Opportunities and Challenges; (6) Question Generation; and (7) Robot-Human Teamwork in Dynamic Adverse Environment. The highlights of each symposium are presented in this report.


Reports of the AAAI 2010 Fall Symposia

AI Magazine

The Association for the Advancement of Artificial Intelligence was pleased to present the 2010 Fall Symposium Series, held Thursday through Saturday, November 11-13, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the eight symposia are as follows: (1) Cognitive and Metacognitive Educational Systems; (2) Commonsense Knowledge; (3) Complex Adaptive Systems: Resilience, Robustness, and Evolvability; (4) Computational Models of Narrative; (5) Dialog with Robots; (6) Manifold Learning and Its Applications; (7) Proactive Assistant Agents; and (8) Quantum Informatics for Cognitive, Social, and Semantic Processes. The highlights of each symposium are presented in this report.


Reports of the AAAI 2010 Fall Symposia

AI Magazine

The Association for the Advancement of Artificial Intelligence was pleased to present the 2010 Fall Symposium Series, held Thursday through Saturday, November 11-13, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the eight symposia are as follows: (1) Cognitive and Metacognitive Educational Systems; (2) Commonsense Knowledge; (3) Complex Adaptive Systems: Resilience, Robustness, and Evolvability; (4) Computational Models of Narrative; (5) Dialog with Robots; (6) Manifold Learning and Its Applications; (7) Proactive Assistant Agents ; and (8) Quantum Informatics for Cognitive, Social, and Semantic Processes. The highlights of each symposium are presented in this report.


Exploring a Marine Ecosystem with a General Complex Adaptive System Model

AAAI Conferences

The classic Lotka-Volterra equations present a mathematically robust and well-validated set of idealized equations for describing the predator-prey relationship found in many domains. Here we present results of formulating these equations using a Complex Adaptive Systems model, simulated using Agent-based Modeling techniques. This method allows for (a) closer study of the complex dynamics that are found in these systems, (b) greater understanding of the agent interactions, and (c) more realistic simulation outputs. In so doing, we have uncovered a novel relationship between the amount of resources found at the lowest tropic level of a hypothesized ecosystem and the highest tropic level predators. We explore these results in detail, and highlight their applicability to a real-world marine ecosystem.



Preface: Complex Adaptive Systems

AAAI Conferences

Complex systems are found all around us. Companies, societies, markets, and humans rarely stay in a stable, predictable state for long. Yet all these systems are characterized by the notable persistence of some key attributes that maintain their identities, even as their constituent parts change and adapt to new environments. Our goal is to bring together researchers from diverse fields who study these complex systems using the tools and techniques of complex adaptive systems.


Reports of the AAAI 2009 Fall Symposia

AI Magazine

The Association for the Advancement of Artificial Intelligence was pleased to present the 2009 Fall Symposium Series, held Thursday through Saturday, November 5–7, at the Westin Arlington Gateway in Arlington, Virginia. The Symposium Series was preceded on Wednesday, November 4 by a one-day AI funding seminar. The titles of the seven symposia were as follows: (1) Biologically Inspired Cognitive Architectures, (2) Cognitive and Metacognitive Educational Systems, (3) Complex Adaptive Systems and the Threshold Effect: Views from the Natural and Social Sciences, (4) Manifold Learning and Its Applications, (5) Multirepresentational Architectures for Human-Level Intelligence, (6) The Uses of Computational Argumentation, and (7) Virtual Healthcare Interaction.