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111
Remote Agent: To Boldly Go Where No AI System Has Gone Before
, 1998
"... Renewed motives for space exploration have inspired NASA to work toward the goal of establishing a virtual presence in space, through heterogeneous effets of robotic explorers. Information technology, and Artificial Intelligence in particular, will play a central role in this endeavor by endowing th ..."
Abstract
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Cited by 231 (16 self)
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significant step toward enabling this future. This architecture addresses the unique characteristics of the spacecraft domain that require highly reliable autonomous operations over long periods of time with tight deadlines, resource constraints, and concurrent activity among tightly coupled subsystems
Lamarckian Learning in Multi-agent Environments
- Proceedings of the Fourth International Conference on Genetic Algorithms
, 1991
"... Genetic algorithms gain much of their power from mechanisms derived from the field of population genetics. However, it is possible, and in some cases desirable, to augment the standard mechanisms with additional features not available in biological systems. In this paper, we examine the use of Lamar ..."
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Cited by 82 (13 self)
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-agent domains. In such domains, traditional AI planning approaches are usually infeasible, because of the complexity of the multi-agent interactions and the inherent uncertainty about the future actions of other agents. On the other hand, genetic algorithms [11] appear to be a promising approach to developing
The new millennium remote agent: To boldly go where no ai system has gone before, Artificial Intelligence 100
"... The year 1997 marked the rst chess program to defeat a world champion, the rst time a mobile robotic explorer landed on another planet, and the ctitious birthday of HAL-9000 in the book \2001: A Space Odyssey". Autonomous Agents for space explo-ration has been a grand challenge for AI since its ..."
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Cited by 5 (4 self)
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its inception. This paper describes the New Millennium Remote Agent (NMRA) architecture for autonomous spacecraft con-trol systems. The architecture supports challenging requirements of the autonomous spacecraft domain including highly reliable autonomous operations over extended time periods
Artificial Intelligence Remote Agent: to boldly go where no AI system has gone before *
"... Renewed motives for space exploration have inspired NASA to work toward the goal of establishing a virtual presence in space, through heterogeneous fleets of robotic explorers. Information technology, and Artificial Intelligence in particular, will play a central role in this endeavor by endowing th ..."
Abstract
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significant step toward enabling this future. This architecture addresses the unique characteristics of the spacecraft domain that require highly reliable autonomous operations over long periods of time with tight deadlines, resource constraints, and concurrent activity among tightly coupled subsystems
Evolution of Reinforcement Learning in Games or How to Win against Humans with Intelligent Agents
"... This paper reviews reinforcement learning in games. Games are a popular domain for the design and evaluation of AI systems, and still offer formidable challenges. This paper presents some classic and more recent work from this field. First it starts with Tesauro’s TD-Gammon, which was one of the fir ..."
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This paper reviews reinforcement learning in games. Games are a popular domain for the design and evaluation of AI systems, and still offer formidable challenges. This paper presents some classic and more recent work from this field. First it starts with Tesauro’s TD-Gammon, which was one
Subject: AI & Machine Learning Q1) Read the paper “Automating Cognitive Model Improvement by A*Search and Logistic
, 2010
"... a. Explain what the search operators do? Sketch pseudo code and show a small example of what the operators do 1. b. Explain how it is A * search, or why it is not. c. How does this relate to your work? 1 I.e. add, merge, split etc (there might be more than one of each type) a) An important factor is ..."
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a. Explain what the search operators do? Sketch pseudo code and show a small example of what the operators do 1. b. Explain how it is A * search, or why it is not. c. How does this relate to your work? 1 I.e. add, merge, split etc (there might be more than one of each type) a) An important factor
Tools for Cultural Intelligence Development: A Cognitive Engineering Approach Tools for Cultural Intelligence Development: A Cognitive Engineering Approach
"... ABSTRACT Military Operations Other Than War, from humanitarian assistance to counterinsurgency support, require actionable cultural intelligence -information that provides understanding of the behavior of a general population and its friendly, neutral, and hostile sub-groups, plus ways to recognize ..."
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ABSTRACT Military Operations Other Than War, from humanitarian assistance to counterinsurgency support, require actionable cultural intelligence -information that provides understanding of the behavior of a general population and its friendly, neutral, and hostile sub-groups, plus ways
The Bifurcation of DAI and Adaptivism as Synthesis
- In Proceedings of the 1995 Dutch Conference on AI (NAIC
, 1995
"... Traditional AI has bifurcated into two directions: [1] engineering AI that aims to model highly specialized intelligence functions that operate on small domains, and [2] Reactivism that tries to achieve a more general type of intelligence by building agents that have limited cognitive capacities on ..."
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Cited by 1 (0 self)
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Traditional AI has bifurcated into two directions: [1] engineering AI that aims to model highly specialized intelligence functions that operate on small domains, and [2] Reactivism that tries to achieve a more general type of intelligence by building agents that have limited cognitive capacities
Conceptual Models for Combined Planning and Scheduling
, 1999
"... Planning and scheduling attracts an unceasing attention of computer science community. Several research areas like Artificial Intelligence, Operations Research and Constraint Programming joined their power to tackle the problems brought by real industrial life. Among them Constraint Programming play ..."
Abstract
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Cited by 17 (11 self)
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Planning and scheduling attracts an unceasing attention of computer science community. Several research areas like Artificial Intelligence, Operations Research and Constraint Programming joined their power to tackle the problems brought by real industrial life. Among them Constraint Programming
Under funding from the Battlefield Awareness and Data Dis-
"... USC/ISI, University of Kansas, and Stanford University are de-veloping a suite of distributed components to deliver the right information at just the right time to just the right place. Opera-tionally, this entails modeling the warfighter’s information needs, accessing diverse, heterogeneous data so ..."
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in San Diego. The WIP system builds on the DARPA-sponsored Intelligent Integration of Information (13) initiative, using a combination AI and non-AI technologies to augment the BADD system with smart information push technology. Together, the WIP compo-nents create a distributed system which serves as a
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111
