A Neural Network for Creative Serial Order Cognitive Behavior |
| |
Authors: | Steve Donaldson |
| |
Affiliation: | (1) Department of Mathematics and Computer Science, Samford University, Birmingham, AL, USA |
| |
Abstract: | If artificial neural networks are ever to form the foundation for higher level cognitive behaviors in machines or to realize
their full potential as explanatory devices for human cognition, they must show signs of autonomy, multifunction operation,
and intersystem integration that are absent in most existing models. This model begins to address these issues by integrating
predictive learning, sequence interleaving, and sequence creation components to simulate a spectrum of higher-order cognitive
behaviors which have eluded the grasp of simpler systems. Its capabilities are described based on simulations calling for
increasing levels of functionality and are used to show how the model can progress from fundamental sequence learning and
recall tasks to sophisticated behaviors such as an ability to solve simple mathematical expressions and a creative capacity
for the formation and application of inductive rules. |
| |
Keywords: | Predictive learning Memory interleaving Creativity Inductive reasoning Autonomous neural networks |
本文献已被 SpringerLink 等数据库收录! |
|