Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
individual
Campus
Daytona Beach
Authors' Class Standing
Austen Pallen, Senior
Lead Presenter's Name
Austen Pallena
Lead Presenter's College
DB College of Arts and Sciences
Faculty Mentor Name
Bryan Watson
Abstract
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.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Developing a Novel Consensus Algorithm Based on Synchronous Turtle Hatching
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.