Download Autonomous and Autonomic Systems: With Applications to NASA by Walt Truszkowski, Harold Hallock, Christopher Rouff, Jay PDF

By Walt Truszkowski, Harold Hallock, Christopher Rouff, Jay Karlin, James Rash, Michael Hinchey, Roy Sterritt

This booklet presents an in-depth dialogue of self sustaining and autonomic platforms, their interdependencies, changes and similarities. present and pending concerns in those evermore more and more very important matters are highlighted and mentioned. suggestions, rules and reviews are explored relating to real-life NASA structures in spacecraft keep watch over and within the exploration area.

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Additional info for Autonomous and Autonomic Systems: With Applications to NASA Intelligent Spacecraft Operations and Exploration Systems

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This section discusses some of the issues involved in the design and implementation of agents, and then it will focus on three important classes: software agents, robots, and immobots (immobile robots). 5 lists some of the attributes used to describe agents. From the top-level viewpoint, the two most important attributes of an agent are its purpose and the domain in which it operates. All other attributes can be inferred from these two. It is from these attributes that the agent will be designed and technologies selected.

16 1 Introduction Though science of opportunity is not necessarily restricted by communication delays, it often has required a human in the loop. This can present a problem since the phenomenon may no longer be observable by the time initial data are transmitted back to earth, a human analyzes it, and commands are sent back to the spacecraft. Autonomy can be useful in this area because it enables immediate action to be taken to observe the phenomenon. Challenges in this area include devising the rules for determining whether the new science should interrupt other on-going science.

They continually sense and analyze the environment and their effect on it and, within constraints, dynamically change their strategy until the objective is achieved. The realities of reactive control systems often make them interact poorly with the slower and symbolic, high-level control systems. Because of their mobile nature, many robots commit a large percentage of their resources to navigation. 5 Summary 23 and analysis of all relevant aspects of the environment to enable the robot to see potential paths and recognize potential hazards.

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