Remote Agent: to boldly go where no AI system has gone before
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The Remote Agent is described, a specific autonomous agent architecture based on the principles of model-based programming, on-board deduction and search, and goal-directed closed-loop commanding, that takes a significant step toward enabling this future of space exploration.About:
This article is published in Artificial Intelligence.The article was published on 1998-08-01 and is currently open access. It has received 727 citations till now. The article focuses on the topics: Autonomous agent & Procedural reasoning system.read more
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Proceedings ArticleDOI
Automation for Operations
TL;DR: The Automation for Operations (A4O) project develops advanced mission operations technology for Constellation, NASA's plan to return to the Moon in response to the President’s Vision for Space Exploration (VSE).
Design of a Deep Space Network Scheduling Application
TL;DR: The basic design of this application is described, the Service Scheduling Subsystem (SSS), and the messaging interface to the automated scheduler, including the request and constraint language and support for user-defined constraints is described.
Journal ArticleDOI
Engineering Resilient Space Systems
Journal ArticleDOI
Getting Diagnostic Reasoning off the Ground: Maturing Technology with TacSat-3
TL;DR: Embedded intelligence technologies have the potential to solve the challenges of planning, monitoring, and executing space missions because of their complexity, the difficulty of anticipating problems once launched, and the high cost of failure.
Dissertation
Plan generation and hard real-time execution with application to safe, autonomous flight
TL;DR: The resultant architecture of CIRCA-II is applied to simulated autonomous aircraft flight and its utility for intelligently making tradeoffs that maximize mission success probability even under adverse circumstances in which other planner/scheduler algorithms would fail is demonstrated.
References
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Journal Article
Maintaining knowledge about temporal intervals
TL;DR: An interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation, which is notable in offering a delicate balance between space and time.
Journal ArticleDOI
Maintaining knowledge about temporal intervals
TL;DR: In this paper, an interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation, which is notable in offering a delicate balance between time and space.
Intelligence without Representation
TL;DR: Brooks et al. as mentioned in this paper decompose an intelligent system into independent and parallel activity producers which all interface directly to the world through perception and action, rather than interface to each other particularly much.
Journal ArticleDOI
Intelligence without representation
TL;DR: Brooks et al. as discussed by the authors decompose an intelligent system into independent and parallel activity producers which all interface directly to the world through perception and action, rather than interface to each other particularly much.
Lecture Notes in Artificial Intelligence
P. Brezillon,P. Bouquet +1 more
TL;DR: The topics in LNAI include automated reasoning, automated programming, algorithms, knowledge representation, agent-based systems, intelligent systems, expert systems, machine learning, natural-language processing, machine vision, robotics, search systems, knowledge discovery, data mining, and related programming languages.