NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Efficient Agent-Based Models for Non-Genomic EvolutionModeling dynamical systems composed of aggregations of primitive proteins is critical to the field of astrobiological science involving early evolutionary structures and the origins of life. Unfortunately traditional non-multi-agent methods either require oversimplified models or are slow to converge to adequate solutions. This paper shows how to address these deficiencies by modeling the protein aggregations through a utility based multi-agent system. In this method each agent controls the properties of a set of proteins assigned to that agent. Some of these properties determine the dynamics of the system, such as the ability for some proteins to join or split other proteins, while additional properties determine the aggregation s fitness as a viable primitive cell. We show that over a wide range of starting conditions, there are mechanisins that allow protein aggregations to achieve high values of overall fitness. In addition through the use of agent-specific utilities that remain aligned with the overall global utility, we are able to reach these conclusions with 50 times fewer learning steps.
Document ID
20060015685
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Gupta, Nachi
(Oxford Univ. Oxford, United Kingdom)
Agogino, Adrian
(California Univ. Santa Cruz, CA, United States)
Tumer, Kagan
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 23, 2013
Publication Date
January 1, 2006
Subject Category
Exobiology
Meeting Information
Meeting: The Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS ''06)
Location: Hakodate
Country: Japan
Start Date: May 8, 2006
End Date: May 12, 2006
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available