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ACT-R Tutorial 18-Feb-19 Unit Seven Unit 7: Production Rule Learning In this unit we will discuss how new production rules are learned. As we will see, a model can acquire new production rules by collapsing two production rules that apply in succession into a single rule. Through this process the model will transform knowledge that […]
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Multiple Models • More than one model can be defined – Define-model – Clear-all removes all models • All models run when ACT-R runs – same clock • Each is independent of the others – Only share the clock Differences in output • Models are indicated in warnings and the trace > (load “ACT-R:examples;unit-1-together-1-mp.lisp”) ;
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Debugging a Model Which Has Perceptual and Motor Components In this text we are going to implement a model which can perform a simple experiment which requires visual and motor actions. While doing so we will encounter some problems which we will walk through debugging. We will also discuss some of the additional things that
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ACT-R Tutorial 18-Feb-19 Unit Three Unit 3: Attention This unit is concerned with developing a better understanding of how perceptual attention works in ACT-R, particularly as it is concerned with visual attention. 3.1 Visual Locations When a visual display such as this is presented to ACT-R VNTZ CRYK WJGF a representation of all the visual
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ACT-R Tutorial 18-Feb-19 Unit Two Unit 2: Perception and Motor Actions in ACT-R 2.1 ACT-R Interacting with the World This unit will introduce some of the mechanisms which allow ACT-R to interact with the world, which for the purposes of the tutorial will be experiments presented via the computer. This is made possible with the
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ACT-R Tutorial 18-Feb-19 Unit One Unit 1: Introduction to ACT-R ACT-R is a cognitive architecture. It is a theory of the structure of the brain at a level of abstraction that explains how it achieves human cognition. That theory is instantiated in the ACT-R software which allows one to create models which may be used
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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