This book documents the accomplishments and lessons learned from the Agent-Based Modeling and Behavior Representation Model Comparison. It examines the ability of a range of integrative cognitive modelings architectures to predict human behavior in a com
This book documents the accomplishments and lessons learned from the Agent-Based Modeling and Behavior Representation Model Comparison. It examines the ability of a range of integrative cognitive modelings architectures to predict human behavior in a com
Kevin A. Gluck (Edited by) , Richard W. Pew (Edited by)
Inhaltsangabe
Contents: Preface. Part I: Overview Experiments and Software.K.A. Gluck R.W. Pew M.J. Young Background Structure and Preview of the Model Comparison. Y.J. Tenney D.E. Diller S. Deutsch K. Godfrey The AMBR Experiments: Methodology and Human Benchmark Results. S. Deutsch D.E. Diller B. Benyo L. Feinerman The Simulation Environment for the AMBR Experiments. Part II: Models of Multitasking and Category Learning.C. Lebiere Constrained Functionality: Application of the ACT-R Cognitive Architecture to the AMBR Modeling Comparison. W. Zachary J. Ryder J. Stokes F. Glenn J-C. Le Mentec T. Santarelli A COGNET/iGEN Cognitive Model That Mimics Human Performance and Learning in a Simulated Work Environment. R.G. Eggleston K.L. McCreight M.J. Young Distributed Cognition and Situated Behavior. R.S. Chong R.E. Wray Inheriting Constraint in Hybrid Cognitive Architectures: Applying the EASE Architecture to Performance and Learning in a Simplified Air Traffic Control Task. Part III: Conclusions Lessons Learned and Implications. D.E. Diller K.A. Gluck Y.J. Tenney K. Godfrey Comparison Convergence and Divergence in Models of Multitasking and Category Learning and in the Architectures Used to Create Them. B.C. Love In Vivo or In Vitro: Cognitive Architectures and Task-Specific Models. G.E. Campbell A.E. Bolton HBR Validation: Integrating Lessons Learned From Multiple Academic Disciplines Applied Communities and the AMBR Project. R.W. Pew K.A. Gluck S. Deutsch Accomplishments Challenges and Future Directions for Human Behavior Representation.
Contents: Preface. Part I: Overview Experiments and Software.K.A. Gluck R.W. Pew M.J. Young Background Structure and Preview of the Model Comparison. Y.J. Tenney D.E. Diller S. Deutsch K. Godfrey The AMBR Experiments: Methodology and Human Benchmark Results. S. Deutsch D.E. Diller B. Benyo L. Feinerman The Simulation Environment for the AMBR Experiments. Part II: Models of Multitasking and Category Learning.C. Lebiere Constrained Functionality: Application of the ACT-R Cognitive Architecture to the AMBR Modeling Comparison. W. Zachary J. Ryder J. Stokes F. Glenn J-C. Le Mentec T. Santarelli A COGNET/iGEN Cognitive Model That Mimics Human Performance and Learning in a Simulated Work Environment. R.G. Eggleston K.L. McCreight M.J. Young Distributed Cognition and Situated Behavior. R.S. Chong R.E. Wray Inheriting Constraint in Hybrid Cognitive Architectures: Applying the EASE Architecture to Performance and Learning in a Simplified Air Traffic Control Task. Part III: Conclusions Lessons Learned and Implications. D.E. Diller K.A. Gluck Y.J. Tenney K. Godfrey Comparison Convergence and Divergence in Models of Multitasking and Category Learning and in the Architectures Used to Create Them. B.C. Love In Vivo or In Vitro: Cognitive Architectures and Task-Specific Models. G.E. Campbell A.E. Bolton HBR Validation: Integrating Lessons Learned From Multiple Academic Disciplines Applied Communities and the AMBR Project. R.W. Pew K.A. Gluck S. Deutsch Accomplishments Challenges and Future Directions for Human Behavior Representation.
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