Towards a Simple Table-Based Model of Networks

This paper presents a simple table-based environment for constructing and studying networks. A network is represented as a table whose rows define node gates, values, functions, weights and connections. The same representation can be used to model learning systems, feedback systems, oscillators, random processes and user-defined extensions. Several educational examples are presented. The approach emphasises simplicity, visibility of information flow and ease of experimentation, while requiring minimal software training.