This paper details the development of a resource efficient implementation of the Artificial Epigenetic Network (AEN) concept, based on reduced precision integer mathematics, and the translation of this implementation into hardware via a Field Programmable Gate Array (FPGA) to provide improvements in resource utilisation and execution speed while not sacrificing the unique benefits provided by the epigenetic mechanism. Validation of the implementation’s performance on the inverted pendulum task is obtained and compared to that of previous AENs, as well as experiments to determine how far the precision of the network may be reduced while still maintaining an acceptable degree of performance.
|Title of host publication||IEEE International Conference on Evolvable Systems|
|Place of Publication||Orlando|
|Publication status||Published - 6 Dec 2021|
- Artificial Epigenetic Networks
- Field Programable Gate Array
- Reduced Precision Computation
- Digital Hardware