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Advancing Swarm Technologies for Future Space Missions: A Formal Approach

This executive briefing explores the need for intelligent, autonomous swarm systems in future NASA space missions, emphasizing the challenges and complexities of testing such systems. With increasing reliance on collaboration between satellites and rovers, the briefing presents formal approaches to verify and validate swarm technologies. It highlights the emergent properties and the highly distributed nature of these systems, which necessitate new verification techniques. The document outlines steps taken towards developing a formal method for swarm-based systems, while also identifying accomplishments and next steps for further exploration.

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Advancing Swarm Technologies for Future Space Missions: A Formal Approach

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Presentation Transcript

  1. GSFC Formal Approaches to Swarm Technologies Executive Briefing Christopher Rouff, Amy Vanderbilt - SAIC Walt Truszkowski, James Rash - NASA GSFC, Code 588 Mike Hinchey - NASA GSFC, Code 581 SAS 2004

  2. Problem • Future space missions will require cooperation between multiple satellites/rovers • Developers are proposing intelligent, autonomous swarms to do new science • Swarm-based systems are highly parallel and nondeterministic • Testing these systems using current techniques will be difficult to impossible

  3. ANTS Mission

  4. ANTS MISSION

  5. Difficulty of Testing Swarms • Emergent properties that may not be known • Highly distributed and parallel • Large number of interacting entities • Worse than exponential growth in interactions • Intelligent entities (capabilities increase over time) • Total or near total autonomy • Very little experience in verification and validation of swarm-based systems

  6. Relevance to NASA • Many future missions will be intelligent collaborative distributed systems • Autonomy and autonomic properties will be necessary to manage and operate these systems • Swarms will allow new way for doing science • Verifying these missions will be paramount due to complexity and emergent behaviors • Need verification techniques for these systems

  7. Approach • Survey formal approaches for agent-based, multi-agent and swarm-based systems for appropriate swarm-based methods • Apply most promising approaches to parts of ANTS • Evaluate methods for needed properties • Model and outline swarm-based formal method • Develop formal method for swarm-based systems • Do formal specification of ANTS using new method • Prototype support tools

  8. Accomplishments • Surveyed formal approaches • Applied most promising approaches to ANTS • Evaluated methods • Developed properties for swarm formal method • Developed model and outline for a hybrid swarm-based formal method

  9. Model of Formal Method

  10. Next steps • Develop formal method for swarm-based systems based on current model • Do formal specification of ANTS using new method • Prototype support tools

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