GNU Emacs Reference Card (for version 20) Starting Emacs To enter GNU Emacs 20, just type its name: emacs To read in a file to edit, see Files, below. Motion Multiple Windows When two commands are shown, the second is for “other frame.” Leaving Emacs suspend Emacs (or iconify it under X) exit Emacs permanently […]
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Unit 8 Code Description The example models for this unit either have no experiment code, or are driven by code that has been described in previous units. The assignment task’s experiment code uses two new ACT-R commands (one in the experiment file and one in the model definition), but otherwise is similar to code from
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Unit 2 Code Description This document will describe the code that implements the experiments from unit 2, how ACT-R is interfaced to them, and some commands that can be used from the prompt to get information about the model instead of using the Environment tools. Before getting into the specifics of the code and commands
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Unit 3 Code Description The experiments in this unit are more complicated than those in the previous unit, and they also involve collecting data and comparing it to existing experimental results. Many of the ACT-R commands that were used in the last unit’s tasks will be seen again and there will be a few more
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ACT-R 7.6+ Reference Manual Dan Bothell Includes material adapted from the ACT-R 4.0 manual by Christian Lebiere, documentation on the perceptual motor components by Mike Byrne and the Introduction is a shortened version of the ACT- R description written by Raluca Budiu for the ACT-R web site. 2 Notice ACT-R 7.6 represents a significant rewrite
ACT-R Tutorial 18-Feb-19 Unit Five Unit 5: Activation and Context The goal of this unit is to introduce the components of the activation equation that reflect the context of a declarative memory retrieval. 5.1 Spreading Activation The first context component we will consider is called spreading activation. The chunks in the buffers provide a context
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ACT-R Tutorial 18-Feb-19 Unit Four Unit 4: Activation of Chunks and Base-Level Learning There are two objectives of this unit. The first is to introduce the subsymbolic quantity of activation associated with chunks. The other is to show how those activation values are learned through the history of usage of the chunks. 4.1 Introduction We
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ACT-R 7.6+ Environment Manual Working Draft Dan Bothell Table of Contents Table of Contents…………………………………………………………………………………………………..2 Preface………………………………………………………………………………………………………………….3 Introduction…………………………………………………………………………………………………………..4 Running the Environment………………………………………………………………………………………..5 Environment Overview…………………………………………………………………………………………..7 Current Model……………………………………………………………………………………………………….9 Files……………………………………………………………………………………………………………………10 Control……………………………………………………………………………………………………………….14 Current Data……………………………………………………………………………………………………….30 General Recordable Data………………………………………………………………………………………44 Buffer Based Recordable Data……………………………………………………………………………….74 Miscellaneous………………………………………………………………………………………………………97 Additional Environment Settings and Control………………………………………………………..104 2 Preface This document is a work in progress to describe the operation of the
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Declarative Memory Related Issues In this text we are going to investigate some of the most common problems which can arise when working with models that rely on the use of declarative retrievals when the subsymbolic calculations are enabled and thus activation affects the results. Unlike the models in previous modeling texts, the model which
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Unit 5 Code Description The experiments for this unit are a little more complex than the previous ones. They use a few new ACT-R commands for creating perceptual information as well as several new commands for interacting with the model more directly through code. First we will describe the code for implementing the tasks in
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