Constraints in Cognitive Architectures

  title={Constraints in Cognitive Architectures},
  author={Niels Anne Taatgen and John R. Anderson},

Cognitive Architecture for Co-Evolutionary Hybrid Intelligence

The feasibility of a strong (general) data-centric artificial intelligence (AI) is questioned and the concept of co-evolutionary hybrid intelligence is proposed, based on the cognitive interoperability of man and machine.

A Neural Dynamic Network Drives an Intentional Agent That Autonomously Learns Beliefs in Continuous Time

Autonomous learning is the ability to form knowledge representations solely through one’s own experience. To autonomously learn, an agent must be able to perceive, act, memorize, plan, and desire; it

Conceptually plausible Bayesian inference in interval timing

In a world that is uncertain and noisy, perception makes use of optimization procedures that rely on the statistical properties of previous experiences. A well-known example of this phenomenon is the

Towards an integration of two aspects of semiosis – A cognitive semiotic perspective

Meaning-making processes, understood hierarchically, in line with the Semiotic Hierarchy framework, change on various timescales. To account for and predict these changes, one can take a cognitive

Towards Modeling Visualization Processes as Dynamic Bayesian Networks

  • Christian Heine
  • Computer Science
    IEEE Transactions on Visualization and Computer Graphics
  • 2021
A general framework for modeling visualization processes that can serve as the first step towards a theories and models that can be used to explain why certain designs work and others do not is outlined.

Benefits of formalized computational modeling for understanding user behavior in online privacy research

The findings highlight the importance of formal, computational-level modeling in online privacy research, which has so far drawn computational- level conclusions without utilizing appropriate modeling techniques.

Memory Retrieval

Symbol Emergence in Cognitive Developmental Systems: A Survey

The notion of a symbol in semiotics from the humanities is introduced, to leave the very narrow idea of symbols in symbolic AI and the challenges facing the creation of cognitive systems that can be part of symbol emergence systems.

SIX Learning structured representations from experience

How a system represents information tightly constrains the kinds of problems it can solve. Humans routinely solve problems that appear to require structured representations of stimulus properties and



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

A tutorial on Clarion

  • Technical report Cognitive Science Department,
  • 2003

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,

An integrated theory of the mind.

The perceptual-motor modules, the goal module, and the declarative memory module are presented as examples of specialized systems in ACT-R, which consists of multiple modules that are integrated to produce coherent cognition.

The Problem of Expensive Chunks and its Solution by Restricting Expressiveness

This article establishes that expensive chunks exist and analyzes their causes and proposes a solution based on the notion of restricting the expressiveness of the representational language to guarantee that the chunks formed will require only a limited amount of accessing effort.

The Adaptive Character of Thought

Is Human Cognition Rational?

On the Relationship between Task Performance and Associated Verbalizable Knowledge

Three experiments explore the relationship between performance on a cognitive task and the explicit or reportable knowledge associated with that performance (assessed here by written post-task

Language, Memory, and Thought