Many new technologies rely on multi-agent systems (MAS) and their ability to achieve consensus. Failure for these systems to reach consensus can result in the loss of life, money, and public trust. Th..
Many new technologies rely on multi-agent systems (MAS) and their ability to achieve consensus. Failure for these systems to reach consensus can result in the loss of life, money, and public trust. Therefore, it is in these systems’ best interests to have resilient consensus algorithms, but current approaches have narrow applicability and are only resilient to a small subset of faults. Biologically Inspired Design (BID) may provide the inspiration needed for new consensus algorithms. Our hypothesis is that if the biological behavior of synchronous turtle hatching is evaluated, then a more resilient and novel consensus algorithm can be developed, because current turtle hatching behaviors require resilient consensus. As a first step in this process, a literature review of turtle hatching behavior has been conducted and an initial computer model of the synchronous hatching behavior has been developed. This poster presents the results of that literature review and initial model results, demonstrating that the turtle shell-hatching process is resilient to individual failures. Future work will focus on further developing the model as well as comparing modern consensus algorithms to the turtle-based approach.