Contributors |
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xi | |
Preface |
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xiii | |
Acknowledgments |
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xv | |
PART I OVERVIEW, EXPERIMENTS, AND SOFTWARE |
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1 Background, Structure, and Preview of the Model Comparison |
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3 | (10) |
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Kevin A. Gluck, Richard W. Pew, and Michael J. Young |
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2 The AMBR Experiments: Methodology and Human Benchmark Results |
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13 | (32) |
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Yvette J. Tenney, David E. Diller, Stephen Deutsch, and Katherine Godfrey |
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3 The Simulation Environment for the AMBR Experiments |
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45 | (18) |
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Stephen Deutsch, David E. Diller, Brett Benyo, and Laura Feinerman |
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PART II MODELS OF MULTITASKING AND CATEGORY LEARNING |
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4 Constrained Functionality: Application of the ACT-R Cognitive Architecture to the AMBR Modeling Comparison |
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63 | (50) |
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5 A COGNET/iGEN Cognitive Model That Mimics Human Performance and Learning in a Simulated Work Environment |
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113 | (64) |
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Wayne Zachary, Joan Ryder, James Stokes, Floyd Glenn, Jean-Christophe Le Mentec, and Thomas Santarelli |
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6 Distributed Cognition and Situated Behavior |
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177 | (60) |
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Robert G. Eggleston, Katherine L. McCreight, and Michael J. Young |
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7 Inheriting Constraint in Hybrid Cognitive Architectures: Applying the EASE Architecture to Performance and Learning in a Simplified Air Traffic Control Task |
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237 | (70) |
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Ronald S. Chong and Robert E. Wray |
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SECTION III CONCLUSIONS, LESSONS LEARNED, AND IMPLICATIONS |
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8 Comparison, Convergence, and Divergence in Models of Multitasking and Category Learning, and in the Architectures Used to Create Them |
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307 | (44) |
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David E. Diller, Kevin A. Gluck, Yvette J. Tenney, and Katherine Godfrey |
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9 In Vivo or In Vitro: Cognitive Architectures and Task-Specific Models |
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351 | (14) |
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10 HBR Validation: Integrating Lessons Learned From Multiple Academic Disciplines, Applied Communities, and the AMBR Project |
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365 | (32) |
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Gwendolyn E. Campbell and Amy E. Bolton |
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11 Accomplishments, Challenges, and Future Directions for Human Behavior Representation |
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397 | (18) |
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Richard W. Pew, Kevin A. Gluck, and Stephen Deutsch |
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Author Index |
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415 | (6) |
Subject Index |
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421 | |