• Corpus ID: 16246658

Understanding ACT-R - an Outsider's Perspective

  title={Understanding ACT-R - an Outsider's Perspective},
  author={Jacob Whitehill},
The ACT-R theory of cognition developed by John Anderson and colleagues endeavors to explain how humans recall chunks of information and how they solve problems. ACT-R also serves as a theoretical basis for "cognitive tutors", i.e., automatic tutoring systems that help students learn mathematics, computer programming, and other subjects. The official ACT-R definition is distributed across a large body of literature spanning many articles and monographs, and hence it is difficult for an… 

Figures and Tables from this paper

Modeling Human Behavior Part II - Cognitive approaches and Uncertainty

As we discussed in Part I of this topic [30], there is a clear desire to model and comprehend human behavior. Given the popular presupposition of human reasoning as the standard for learning and

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.

A refined operational semantics for ACT-R: investigating the relations between different ACT-R formalizations

A new very abstract operational semantics for ACT-R is introduced that serves as formal base to compare different semantics and an improved version of the abstract semantics is defined as an instance of the newvery abstract semantics.


  • Computer Science
  • 2015
This research builds an enhanced learning environment for e-learner using the cognitive architecture ACT-R(Adaptive Control of Thought—Rational) and includes learner’s behavioral history as feedback to the system for the further improvement of the learning process.

Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis Effect

The results found significant hysteresis effects on performance and various brain network measures such as outflow of the prefrontal cortex and connectivity magnitude and may be utilized in applications of neuroergonomics research.

Interactive and interpretable machine learning models for human machine collaboration

This thesis builds human-in-the-loop machine learning models and systems that compute and communicate machine learning results in ways that are compatible with the human decision-making process, and that can readily incorporate human experts’ domain knowledge.

REACT-R and unity integration

REACT-R which is a modification of an existing cognitive architecture, ACT-R, to incorporate robot embodiment is presented, providing a human pilot with the option of controlling different aspects or levels of robot operation.

Inferring Team Task Plans from Human Meetings: A Generative Modeling Approach with Logic-Based Prior

This work presents an algorithm that reduces the burden of programming and deploying autonomous systems to work in concert with people in time-critical domains such as military field operations and disaster response by inferring the final plan from a processed form of the human team's planning conversation.


The cognitive architecture to offer an adaptive reusable objects (RLO) based on individual profile of e-learner besides their cognitive behaviour while learning is proposed.

A Cognitive Approach for Optimal Minimization of State Transitions in Nondeterministic Finite Automata

  • S. Aravind.R. Mathews
  • Computer Science
    2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation
  • 2012
The ACT-R architecture is found to be convenient for modeling systems whose functionality can be deconstructed into a set of states, with the transition functions being modeled as production rules, and reduces the number of states from 2k to manageable values.



Rules of the Mind

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

Memory, Emotion, and Rationality: An ACT-R interpretation for Gambling Task results

A new interpretation for the results of several experiments carried out using the Gambling Task paradigm is presented that differs from that put forward by Damasio (1994), and a perspective based on the functional integration of emotion with memory that is sympathetic with the view of the prefrontal cortex endorsed by Rolls (1999, 2000).

Practice and retention: a unifying analysis.

A model based on this equation successfully fit all the data when it was assumed that the passage of psychological time slowed after the experimental session, and was compared with other conceptions of the retention function and the relationship of the retained function to the practice function.

The Adaptive Character of Thought

Is Human Cognition Rational?

Reflections of the Environment in Memory

Availability of human memories for specific items shows reliable relationships to frequency, recency, and pattern of prior exposures to the item. These relationships have defied a systematic

Acquisition of cognitive skill.

A framework for skill acquisition is proposed that includes two major stages in the development of a cognitive skill: a declarative stage in which facts about the skill domain are interpreted and a

Optimizing Knowledge Component Learning Using a Dynamic Structural Model of Practice

A generalized scheme for modeling learning in simple and more complex tasks is presented, and it is shown how such a model can be applied to optimizing conditions of practice to maximize some desired performance.

Using a model to compute the optimal schedule of practice.

By balancing the spacing effect against the effects of recency and frequency, this paper explains how practice may be scheduled to maximize learning and retention. In an experiment, an optimized


Some of the questions currently debated in the field of memory consolidation and reconsolidation, the molecular and anatomical requirements for both processes and, finally, their functional relationship are discussed.