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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Book ChapterDOI
Team Cooperation for Plan Recovery in Multi-agent Systems
Roberto Micalizio,Pietro Torasso +1 more
TL;DR: In this article, the authors address the problem of recovering the execution of a multi-agent plan when the occurrence of unexpected events (e.g. faults) may cause the failure of some actions.
Dissertation
Model-based planning for coordinated air vehicle missions
TL;DR: A model-based programming language that enables autonomous vehicles to create and adapt coordinated mission plans on the fly, and an implemented planning system that draws from the techniques of network search, conflict resolution, and hierarchical decomposition to perform rapid multiple-vehicle mission planning.
The AORTA Reasoning Framework - Adding Organizational Reasoning to Agents
TL;DR: This thesis claims that by using the AORTA reasoning framework, agents become organizationaware, and proposes a model that solves this problem by adding a filter to the agent’s decision procedure that takes consequences of fulfilling a goal into account before deciding to commit to it.
Proceedings ArticleDOI
Injecting on-board autonomy in a multi-agent system for space service providing
TL;DR: It will be shown how robust state of the art technology for constraint-based scheduling and execution can be customized for endowing agents with the autonomy capability.
Proceedings ArticleDOI
Characterization of model-based reasoning strategies for use in IVHM architectures
TL;DR: Three tools representing the spectrum of model-based reasoning approaches, from a quantitative simulation based approach to a graph-based fault propagation technique, were applied to model the behavior of the Hybrid Combustion Facility testbed at Ames and this paper summarizes the characterization of the modeling process for each of the techniques.
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.