The Task Analysis Cell Assembly Perspective

TL;DR

This paper introduces a novel synthesis combining task analysis with neural cell assembly models, offering new representational formats for analyzing tasks and bridging cognitive psychology with neurophysiology in AI.

Contribution

It presents a simplified cell assembly model and demonstrates its application for task analysis, integrating neurophysiological insights into AI and cognitive science.

Findings

New representational formats for task analysis

Comparison of neural models with symbolic AI systems

Potential for a unified theory of psychology and neurophysiology

Abstract

An entirely novel synthesis combines the applied cognitive psychology of a task analytic approach with a neural cell assembly perspective that models both brain and mind function during task performance; similar cell assemblies could be implemented as an artificially intelligent neural network. A simplified cell assembly model is introduced and this leads to several new representational formats that, in combination, are demonstrated as suitable for analysing tasks. The advantages of using neural models are exposed and compared with previous research that has used symbolic artificial intelligence production systems, which make no attempt to model neurophysiology. For cognitive scientists, the approach provides an easy and practical introduction to thinking about brains, minds and artificial intelligence in terms of cell assemblies. In the future, subsequent developments have the potential to lead to a new, general theory of psychology and neurophysiology, supported by cell assembly based artificial intelligences.