• Corpus ID: 17061721

Deconstructing ACT-R

@inproceedings{West2006DeconstructingA,
  title={Deconstructing ACT-R},
  author={Robert Lawrence West},
  year={2006}
}
To broaden the use and understanding of ACT-R within the cognitive science community, we have attempted to express the system in terms of a large number of simple, interacting components. We re-implemented each of these components from the set of formulas that make up ACT-R theory, but used an alternate syntax for the expression and simulation of cognitive models. Care was taken to ensure the new syntax is as explicit as possible in terms of the claims being made and the processes occurring… 

An Adaptable Implementation of ACT-R with Refraction in Constraint Handling Rules

An adaptable implementation of ACT-R derived from the formalization presented in previous work is presented, showing how this formal approach supported by the use of the declarative programming language Constraint Handling Rules (CHR) leads to an implementation of theACT-R close to the theory while maintaining interoperability.

Exchanging Conflict Resolution in an Adaptable Implementation of ACT-R

This work presents a concise implementation of ACT-R based on Constraint Handling Rules which has been derived from a formalization in prior work and implements several different conflict resolution mechanisms discussed in the ACT- R literature.

A Rule-Based Implementation of ACT-R Using Constraint Handling Rules

The implementation of ACT-R using Constraint Handling Rules shows that cognitive models can be expressed very elegantly in CHR, a high-level rule-based formalism and programming language which offers a lot of analysis tools for its programs.

Tools and Techniques for Quantitative and Predictive Cognitive Science

A methodology is described for developing cognitive science theories which produce numerical predictions, and software tools are described which simplify the process of following this approach.

Experimental user interface design toolkit for interaction research (IDTR)

The research is novel and shows considerable promise in terms of feasibility and potential for optimising layout for enhanced usability, and the resulting system does demonstrate potential as a platform for automated evaluation and optimisation of user interface layouts.

Controlling a General Purpose Service Robot By Means of a Cognitive Architecture

The SOAR cognitive architecture acts as the reasoner that selects the current action the robot must do, moving it towards the goal.

An Overview of Relevant Work in Other Areas

This deliverable gives an overview of the areas and disciplines studied and used independently in LarKC, with methods from information retrieval, economics, cognition, brain science, cognitive and social psychology in an effective and efficient manner.

On-line Reference Assignment for Anaphoric and Non-Anaphoric Nouns: A Unified, Memory-Based Model in ACT-R

The computational model in present paper confirms that memory-based accounts are sufficient to account for a high rate of success at first-pass referent retrieval for anaphoric (and non-anaphoric)

An animated pedagogical agent for assisting novice programmers within a desktop computer environment

It is demonstrated how a virtual animated pedagogical agent, called MRCHIPS, can extend the Beliefs-Desires-Intentions model of agency to provide mentoring and coaching support to novice programmers learning their first programming language, Python.

Using a cognitive architecture for general purpose service robot control

The proposed SOAR cognitive architecture allows to include new goals for the robot just by adding new skills (without the need to encode new plans), and has been tested on a human-sized humanoid robot, REEM, acting as a general purpose service robot.

References

SHOWING 1-10 OF 10 REFERENCES

Rules of the Mind

Production Systems and the ACT-R Theory and the Identical Elements Theory of Transfer.

Can Cognitive Modeling Improve Rapid Prototyping ?

It is argued that testing could be improved by testing simulated users and one approach to building a simulated user using ACT-R to embody a GOMS-like memory structure is discussed.

Unified Theories of Cognition

Introduction The Nature of Theories What Are Unified Theories of Cognition? Is Psychology Ready for Unified Theories? The Task of the Book Foundations of Cognitive Science Behaving Systems Knowledge

An information-processing model of the BOLD response in symbol manipulation tasks

This article shows how to map a large class of information-processing theories (not just ACT-R) onto the BOLD response and provides a precise interpretation of the cognitive significance of the Bold response.

Episodic versus Semantic Memory: An Exploration of Models of Memory Decay in the Serial Attention Paradigm

The implications of an episodic versus semantic memory representation in a model of serial task switching are investigated by exploring the predictions made by three mathematical formulations of interference and decay.

Adapting to the task environment: Explorations in expected value

Practice and Forgetting Effects on Vocabulary Memory: An Activation-Based Model of the Spacing Effect

The relative benefit of spacing increased with increased practice and with longer retention intervals, and the model was compared with another model of the spacing effect and was fit to some results from the literature on spacing and memory.

Aligning simulation models: A case study and results

This paper develops the concepts and methods of a process we will call “alignment of computational models” or “docking” for short. Alignment is needed to determine whether two models can produce the

Python ACT-R: A New Implementation and a New Syntax

  • 2005

On adaptation, maximization and the value of a cognitive interpretation of the Law of Effect

  • Psychological Review.
  • 2005