FPGA-based Sokuban-like fun logic learning program with combinatorial logic blocks
Xinyuan Wang · Applied and Computational Engineering · 2024
There are problems such as a high threshold of entry, difficulty understanding the architecture, and boring learning in electronics applications. In order to improve the readability of the structure and learning efficiency, the study proposes a Sokuban-like fun logic learning program based on a Field Programmable Gate Array (FPGA) with combinational logic blocks displayed by VGA. Based on the logic of Sokuban, the program adds "subject", "predicate" and "object" logic blocks, so that the attributes of each object will change with the different combinations of logic blocks. This allows the properties of each object to change with the different combinations of logic blocks, ultimately realizing the process of achieving the same purpose in different ways. The study visualizes the process of writing code by using a specific code framework to transform syntax and entities into different logic blocks that can be changed in different locations. The design solves the problem of the learning process of logical thinking in electronics which is too abstract leading to difficulty in understanding in a relatively easier and more interesting way and can be used as a new way to represent dynamic changes in circuits. In the future, it will not only assist in learning, but can also be used as another new way to represent the output of circuits similar to schematic diagrams, Verilog and other codes, providing a new way of thinking about electronic design.