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Metamorphic Systems: A Schema for Adaptive Autonomous Systems

  • Garrison W. GreenwoodEmail author
  • Andy M. Tyrrell
Part of the Natural Computing Series book series (NCS)

Abstract

Unmanned vehicles (UVs) are taking on increasing roles in military and space missions. These UVs operate in radically different domains, yet they have several common features: (1) they must survive in harsh domains for extended time periods, (2) they must adapt their behaviour to accommodate changing circumstances and (3) they must operate autonomously, which means they must perform assigned tasks with little or no human intervention. For instance, since August 2012 NASA’s scientific laboratory rover Curiosity has been exploring the Martian surface searching for signs of life (NASA, 2012). Martian surface temperatures average –63°C. As another example, the U.S. Navy is currently developing the Anti-submarine Continuous Trail Unmanned Vessel (ACTUV) to track quiet diesel-electric submarines. The goal is to have a UV that can autonomously interact with an intelligent adversary over ranges spanning thousands of kilometers while enduring harsh ocean environmental conditions for months at a time (DARPA, 2012).

Keywords

Rule Base Step Response Decision Module Fuzzy Rule Base Assessment Module 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Department of Electrical & Computer EngineeringPortland State UniversityPortlandUSA
  2. 2.Intelligent Systems Group, Department of ElectronicsUniversity of YorkYorkUK

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