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
Towards an autonomic computing environment
Roy Sterritt,David W. Bustard +1 more
TL;DR: The type of system architecture needed to increase reliability by designing systems to be self-protecting and self-healing and increase autonomy and performance by enabling systems to adapt to changing circumstances, using self-configuring andSelf-optimizing mechanisms are discussed.
Journal ArticleDOI
Multiple agent-based autonomy for satellite constellations
TL;DR: An architecture and multi-agent design and simulation environment that will enable agent-based multi-satellite systems to fulfill their complex mission objectives, termed ObjectAgentTM is presented.
Proceedings Article
Planning with resources and concurrency a forward chaining approach
Fahiem Bacchus,Michael Ady +1 more
TL;DR: It is shown how the forward chaining approach to planning can be extended to allow it to solve planning problems with concurrently executable actions with varying durations, and metric quantities like resources, both essential for modeling real applications.
Book ChapterDOI
Cyber-Physical Systems and Events
TL;DR: This paper discusses event-based semantics in the context of the emerging concept of Cyber Physical Systems and describes two related formal models concerning policy-based coordination and Interactive Agents.
Journal ArticleDOI
Towards a science of integrated AI and Robotics
TL;DR: The early promise of the impact of machine intelligence did not involve the partitioning of the nascent field of Artificial Intelligence, according to the founders of AI.
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.