1. Introduction Threaded Cognition User Guide and Theoretical Notes Dario D. Salvucci & Niels A. Taatgen Threaded cognition (Salvucci & Taatgen, submitted) is an integrated theory of concurrent multitasking — that is, doing two or more things at once. The theory posits that streams of thought can be represented as cognitive threads that are executed […]
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Unit 1 Code Description This document (and the corresponding documents in future units) will describe any ACT-R commands used in the unit¡¯s models which are not described in the main unit text, the code that implements the task/experiment for the models in that unit, how ACT-R is interfaced with the task/experiment, and describe additional commands
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Procedural Learning Modeling Issues This text will cover some of the issues that can arise when working with utility learning and production compilation and describe ways that the Environment tools may be used to help. Models which use the procedural learning mechanisms often do so in conjunction with declarative learning and also often require running
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ACT-R Tutorial 18-Feb-19 Unit Eight Unit 8: Advanced Production Techniques In this unit we will describe two additional mechanisms which can be used in the procedural system of ACT-R. They are called procedural partial matching and dynamic pattern matching. These capabilities allow for a lot more flexibility in the procedural system, and they can make
AGI Manual for ACT-R 7.6+ Working Draft Dan Bothell Table of Contents Table of Contents…………………………………………………………………………………………………..2 Introduction…………………………………………………………………………………………………………..3 Background…………………………………………………………………………………………………………..4 Devices……………………………………………………………………………………………………………..4 Virtual Windows………………………………………………………………………………………………..4 Visible Virtual Windows…………………………………………………………………………………….4 UWI………………………………………………………………………………………………………………….4 Older ACT-R Devices…………………………………………………………………………………………5 Real GUI Windows ……………………………………………………………………………………………5 The AGI……………………………………………………………………………………………………………….6 Visual Scene………………………………………………………………………………………………………….7 Typical Experiment Design…………………………………………………………………………………….8 Window Control (Steps 1 and 2)……………………………………………………………………………..9 Displaying Items (step 3)………………………………………………………………………………………12 Item IDs………………………………………………………………………………………………………….12 Colors……………………………………………………………………………………………………………..12 AGI Items………………………………………………………………………………………………………..12 Waiting on
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ACT-Touch Reference Manual Working Draft Franklin P. Tamborello, II Kristen K. Greene Cogscent, LLC National Institute of Standards and Technology Last revised 2014.10.05 for ACT-Touch.lisp revision 13 1 Preface…………………………………………………………………………………………………………………………………..3 Acknowledgments…………………………………………………………………………………………………………………..4 Introduction ……………………………………………………………………………………………………………………………5 Loading ACT-Touch………………………………………………………………………………………………………………..7 Manual Request Extensions to ACT-R ………………………………………………………………………………………8 Virtual Multitouch Display Device………………………………………………………………………………………….12 Last revised 2014.10.05 for ACT-Touch.lisp revision 13 2 Preface This document
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ACT-R RPC Interface Documentation Working Draft Dan Bothell Remote Interface 18-Feb-19 Introduction This document contains information about a new feature available with the ACT-R 7.6+ software. There is now a built-in RPC (remote procedure call) server with the ACT-R software which makes it possible to interact with ACT-R other than through the Lisp prompt and
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Dynamic Visualization of ACT-R Declarative Memory Structure Andrea Heiberg2 (Andrea.Heiberg@mesa.afmc.af.mil) Jack Harris1 (Jack.Harris@mesa.afmc.af.mil) Jerry T. Ball1 (Jerry.Ball@mesa.afmc.af.mil) 1Air Force Research Laboratory / 2L-3 Communications at Air Force Research Laboratory 6030 S. Kent St. Mesa, AZ 85212 USA Introduction We propose an automated technique for visualizing changes to declarative memory (DM) in the ACT-R 6 cognitive
Unit 6 Code Description The assignment for this unit is to write a complete experiment and model essentially from scratch. The demonstration experiment for this unit is much more complicated than the one needed for the assignment task. While it does provide information on creating more involved experiments for models, the models from earlier units
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Unit 7 Code Description The paired associate model for this unit uses the same experiment code as the paired associate model from unit 4. So in this document we will only be looking at the past tense model. This is another example of an experiment and model that do not use the perceptual and motor
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