Clustering concepts into higher-level entities using neural network-like structures
ICCC'11 Proceedings of the 2011 international conference on Computers and computing
| Hi-index | 0.00 |
This paper describes a new cognitive model that could be used to build a system that can intelligently realise concepts for itself and then reason over them. The main model has been published previously, but this paper proposes a new finer level of processing that would allow the system to learn arbitrarily complex concepts for itself. These can then be clustered into chains that represent higher level concepts and reasoned over. These chains can also trigger each other to generate a certain level of ‘thinking'. This model would be suitable for a neural-like system, but also a large distributed network.