Queueing network-adaptive control of thought rational (QN-ACTR): An integrated cognitive architecture for modelling complex cognitive and multi-task performance

  title={Queueing network-adaptive control of thought rational (QN-ACTR): An integrated cognitive architecture for modelling complex cognitive and multi-task performance},
  author={Shi Xiong Cao and Yili Liu},
  journal={International Journal of Human Factors Modelling and Simulation},
  • S. Cao, Yili Liu
  • Published 9 August 2013
  • Computer Science
  • International Journal of Human Factors Modelling and Simulation
How to computationally model human performance in complex cognitive and multi-task scenarios has become an important yet challenging question for human performance modelling and simulation. This paper reports the work that develops an integrated cognitive architecture for this purpose. The resulting architecture – queueing network-adaptive control of thought rational (QN-ACTR) – is an integration of the QN mathematical architecture and the ACT-R symbolic architecture. This integration allows QN… 

Figures and Tables from this paper

Queueing Network-ACTR Modeling of Concurrent Tasks Involving Multiple Controlled Processes

A filtering discipline implemented in Queueing Network-ACTR cognitive architecture that allows cognitive resources to be exclusively occupied by one of the concurrent tasks when necessary, instead of switching between the tasks as frequently as possible is introduced.

Modeling Pilot Flight Performance in a Cognitive Architecture: Model Demonstration

  • Rong-jia XuS. Cao
  • Computer Science
    Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • 2021
A pilot model is demonstrated that can perform and simulate taxiing and takeoff tasks and can support interface evaluation and competency-based pilot training, providing a theory-based predictive approach complementary to human-in-the-loop experiments for aviation research and development.

Using an Integrated Cognitive Architecture to Model the Effect of Environmental Complexity on Drivers’ Situation Awareness

A computational cognitive model in a cognitive architecture that can be connected to interact with a driving simulator, as means to infer quantitative predictions of drivers’ SA is developed and demonstrates the theory of modelling and predicting SA through the lens of human cognition.

Modeling Driver Take-Over Reaction Time and Emergency Response Time using an Integrated Cognitive Architecture

Cognitive architecture models to simulate drivers’ take-over reaction time in different secondary task conditions using the queueing network-adaptive control of thought rational (QN-ACTR) cognitive architecture provide a useful tool for the evaluation oftake-over alert design and the prediction of driver performance.

Modeling Driving and Sentence Comprehension Dual-task Performance in Queueing Network-ACTR

This study focuses on modeling a dual-task driving scenario containing a sentence comprehension component that involves complex cognitive processes and was built in Queueing Network-ACTR cognitive architecture implementing a QN filtering discipline.

Modeling human behavior in manual control Rendezvous and Docking task

A modeling approach, focusing on the information processing underlying the decisions process, is proposed to achieve real-time visualization of information processing and to generate human-like behavior of manual control RVD in this paper.

Effect of driving experience on collision avoidance braking: an experimental investigation and computational modelling

Test and examined computational models built in ACT-R (Adaptive Control of Thought-Rational) to account for the effect of driving experience on collision avoidance braking behaviour and produced braking behavioural results similar to the human results.

Human performance modeling and its uncertainty factors affecting decision making: a survery

The background and connotation of human performance modeling (HPM), HPM models, and the application of artificial intelligence algorithms in HPM is introduced and its military application is put forward.

Progress towards automated human factors evaluation

This method uses a general cognitive architecture to computationally represent human cognitive capabilities and constraints to simulate users' interaction with machine systems and has modeled multitasking scenarios in a wide range of domains.

Human Performance Time Model of Spacecraft Control Panel Operation in Simulated Microgravity.

Although the method has its limitations, the current findings suggest that it has value in aerospace human factors and ergonomics applications.



QN-ACES: Integrating Queueing Network and ACT-R, CAPS, EPIC, and Soar Architectures for Multitask Cognitive Modeling

  • Yili Liu
  • Computer Science
    Int. J. Hum. Comput. Interact.
  • 2009
QN-ACES is described, a cognitive architecture that aims to integrate two complementary classes of cognitive architectures: Queueing network (QN) mathematical architecture and ACT–R, CAPS, EPIC, and Soar (ACES) symbolic architectures.

Integrating Queueing Network and ACT-R Cognitive Architectures

The research reported in this paper aims to integrate the two architectures of ACT-R and QN and benefit from their advantages so as to enhance cognitive modeling capabilities.

Queueing Network-Model Human Processor (QN-MHP): A computational architecture for multitask performance in human-machine systems

QN-MHP expands the three discrete serial stages of MHP, of perceptual, cognitive, and motor processing, into three continuous-transmission subnetworks of servers, each performing distinct psychological functions specified with a GOMS-style language.

QN-ACTR Modeling of Multitask Performance of Dynamic and Complex Cognitive Tasks

The latest development of QN-ACTR is reported, which integrates two complementary cognitive architectures, Queueing Network and Adaptive Control of Thought-Rational, which can model multitask performance in dynamic and complex cognitive task situations that each architecture alone has difficulties to model.

Mental Workload Modeling in an Integrated Cognitive Architecture

The research reported in this paper proposes and examines a theory and method for modeling and visualizing mental workload in ACTR-QN, a theory-based integrated cognitive architecture combining the advantages of Adaptive Control of Thought-Rational and Queueing Network architectures.

Queueing network modeling of human performance of concurrent spatial and verbal tasks

  • Yili Liu
  • Business
    IEEE Trans. Syst. Man Cybern. Part A
  • 1997
The model integrates considerations of single-channel queuing theoretic models of selective attention and parallel processing, multiple-resource models of divided attention, and provides a computational framework for modeling both the serial processing and the concurrent execution aspects of human multitask performance.

Queueing network modeling of elementary mental processes.

  • Y. Liu
  • Psychology
    Psychological review
  • 1996
This article examines the use of reaction time (RT) to infer the possible configurations of mental systems and presents a class of queueing network models of elementary mental processes that cover a broader range of temporal and architectural structures that mental processes might assume, and can be subjected to empirical tests.

Queuing network modeling of the psychological refractory period (PRP).

A queuing network-based mathematical model of PRP is described that is able to model various experimental findings in PRP with closed-form equations including all of the major counterexamples encountered by the existing models with fewer or equal numbers of free parameters.

A computational theory of executive cognitive processes and multiple-task performance: Part 1. Basic mechanisms.

A new theoretical framework, executive-process interactive control (EPIC), is introduced for characterizing human performance of concurrent perceptual-motor and cognitive tasks. On the basis of EPIC,

Serial modules in parallel: the psychological refractory period and perfect time-sharing.

An integrated theory of cognition, perception, and action that consists of the ACT-R production system and a set of perceptual-motor modules and results from three PRP-like experiments indicate that cognitive processing for the 2 tasks need not overlap.